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LaunchDarkly MCP connector

OAuth2.1/DCRDeveloper ToolsMonitoringAutomation

Connect to LaunchDarkly's hosted MCP server to manage feature flags, experiments, and release controls directly from your AI workflows.

LaunchDarkly MCP connector

  1. Install the SDK

    Section titled “Install the SDK”
    Terminal window
    npm install @scalekit-sdk/node

    Full SDK reference: Node.js | Python

  2. Set your credentials

    Section titled “Set your credentials”

    Add your Scalekit credentials to your .env file. Find values in app.scalekit.com > Developers > API Credentials.

    .env
    SCALEKIT_ENVIRONMENT_URL=<your-environment-url>
    SCALEKIT_CLIENT_ID=<your-client-id>
    SCALEKIT_CLIENT_SECRET=<your-client-secret>

  3. Authorize and make your first call

    Section titled “Authorize and make your first call”
    quickstart.ts
    import { ScalekitClient } from '@scalekit-sdk/node'
    import 'dotenv/config'
    

    const scalekit = new ScalekitClient(
      process.env.SCALEKIT_ENV_URL,
      process.env.SCALEKIT_CLIENT_ID,
      process.env.SCALEKIT_CLIENT_SECRET,
    )
    const actions = scalekit.actions
    

    const connector = 'launchdarklymcp'
    const identifier = 'user_123'
    

    // Generate an authorization link for the user
    const { link } = await actions.getAuthorizationLink({ connectionName: connector, identifier })
    console.log('Authorize LaunchDarkly MCP:', link)
    process.stdout.write('Press Enter after authorizing...')
    await new Promise(r => process.stdin.once('data', r))
    

    // Make your first call
    const result = await actions.executeTool({
      connector,
      identifier,
      toolName: 'launchdarklymcp_find_members',
      toolInput: {},
    })
    console.log(result)

What you can do

Section titled “What you can do”

Connect this agent connector to let your agent:

  • Vent records — Report a missing capability, bug, parameter gap, or unclear error encountered while using LaunchDarkly MCP tools
  • Updateexperiment records — Update an existing experiment’s configuration including name, description, metrics, treatments, and randomization unit
  • Updateagentgraph records — Update an existing agent graph definition, modifying its nodes, edges, or metadata
  • Update targeting rules, rollout, prompt snippet — Update the targeting rules for a feature flag in a specific environment
  • Flag toggle, archive — Turn a feature flag on or off in a specific environment
  • Stopguardedrollout records — Stop an active guarded rollout on a flag’s default rule

Tool list

Section titled “Tool list”

Use the exact tool names from the Tool list below when you call execute_tool. If you’re not sure which name to use, list the tools available for the current user first.

launchdarklymcp_apply_approval_request#Apply an approved change request, executing the flag changes it contains.6 params

Apply an approved change request, executing the flag changes it contains.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key where the approval request applies.
featureFlagKeystringrequiredThe feature flag key associated with the approval request.
idstringrequiredThe ID of the approval request to apply.
projectKeystringrequiredThe project key where the approval request resides.
commentstringoptionalOptional comment to include when applying the approval request.
flagKeystringoptionalAlias for featureFlagKey.
launchdarklymcp_archive_flag#Archive a feature flag, marking it as retired. Archived flags are hidden from the default list but can be restored.2 params

Archive a feature flag, marking it as retired. Archived flags are hidden from the default list but can be restored.

NameTypeRequiredDescription
flagKeystringrequiredThe key of the feature flag to archive.
projectKeystringrequiredThe project key where the flag resides.
launchdarklymcp_check_removal_readiness#Check whether a feature flag is ready to be permanently removed from code. Analyzes SDK evaluations to confirm the flag is no longer in use.3 params

Check whether a feature flag is ready to be permanently removed from code. Analyzes SDK evaluations to confirm the flag is no longer in use.

NameTypeRequiredDescription
envstringrequiredThe environment key to check flag removal readiness in.
flagKeystringrequiredThe key of the feature flag to check for removal readiness.
projectKeystringrequiredThe project key where the flag resides.
launchdarklymcp_clone_ai_config_variation#Clone an existing AI Config variation to create a new variation with the same settings.4 params

Clone an existing AI Config variation to create a new variation with the same settings.

NameTypeRequiredDescription
configKeystringrequiredThe key of the AI Config that contains the variation to clone.
projectKeystringrequiredThe project key identifying which project contains the AI Config.
variationIdstringrequiredThe ID of the variation to clone.
namestringoptionalThe name for the new cloned variation.
launchdarklymcp_copy_flag_config#Copy a flag's targeting configuration from one environment to another environment within the same project.4 params

Copy a flag's targeting configuration from one environment to another environment within the same project.

NameTypeRequiredDescription
flagKeystringrequiredThe key of the feature flag whose configuration will be copied.
projectKeystringrequiredThe project key where the flag resides.
sourceobjectrequiredThe source environment to copy the flag configuration from.
targetobjectrequiredThe target environment to copy the flag configuration to.
launchdarklymcp_create_agent_graph#Create a new agent graph definition for multi-step AI workflows.5 params

Create a new agent graph definition for multi-step AI workflows.

NameTypeRequiredDescription
namestringrequiredThe name of the agent graph.
projectKeystringrequiredThe project key for the LaunchDarkly project.
descriptionstringoptionalAn optional description of the agent graph.
edgesarrayoptionalThe edges connecting nodes in the agent graph.
nodesarrayoptionalThe nodes in the agent graph, each representing a step in the workflow.
launchdarklymcp_create_ai_config#Create a new AI Config in a project. An AI Config manages AI model configurations with feature flag-style targeting and experimentation.5 params

Create a new AI Config in a project. An AI Config manages AI model configurations with feature flag-style targeting and experimentation.

NameTypeRequiredDescription
keystringrequiredA unique key for the AI Config.
namestringrequiredA human-readable name for the AI Config.
projectKeystringrequiredThe project key where the AI Config will be created.
descriptionstringoptionalAn optional description for the AI Config.
tagsarrayoptionalOptional list of tags to associate with the AI Config.
launchdarklymcp_create_ai_config_variation#Create a new variation for an AI Config with specific model, prompt, and parameter settings.5 params

Create a new variation for an AI Config with specific model, prompt, and parameter settings.

NameTypeRequiredDescription
configKeystringrequiredThe key of the AI Config to create a new variation for.
namestringrequiredThe name for the new variation.
projectKeystringrequiredThe project key identifying which project contains the AI Config.
modelobjectoptionalModel settings for the new variation such as model name and parameters.
promptarrayoptionalPrompt messages array for the new variation.
launchdarklymcp_create_ai_tool#Create a new AI tool definition for use in AI Config variations.4 params

Create a new AI tool definition for use in AI Config variations.

NameTypeRequiredDescription
namestringrequiredThe name of the AI tool.
projectKeystringrequiredThe project key for the LaunchDarkly project.
descriptionstringoptionalAn optional description of the AI tool.
parametersobjectoptionalThe parameters schema for the AI tool.
launchdarklymcp_create_approval_request#Create an approval request for a proposed flag change. The change will not take effect until approved and applied.8 params

Create an approval request for a proposed flag change. The change will not take effect until approved and applied.

NameTypeRequiredDescription
descriptionstringrequiredA description of the proposed change and reason for the approval request.
envstringrequiredThe environment key where the proposed change would apply.
featureFlagKeystringrequiredThe feature flag key that the approval request targets.
instructionsarrayrequiredThe semantic patch instructions describing the proposed flag changes.
projectKeystringrequiredThe project key where the approval request will be created.
commentstringoptionalOptional comment to include with the approval request.
flagKeystringoptionalAlias for featureFlagKey.
notifyMemberIdsarrayoptionalList of member IDs to notify about the approval request.
launchdarklymcp_create_flag#Create a new feature flag in a project. The flag is created across all environments with default targeting off.7 params

Create a new feature flag in a project. The flag is created across all environments with default targeting off.

NameTypeRequiredDescription
keystringrequiredUnique key identifier for the new feature flag.
namestringrequiredHuman-readable display name for the new feature flag.
projectKeystringrequiredThe project key where the flag will be created.
descriptionstringoptionalOptional description for the new feature flag.
tagsarrayoptionalOptional array of tags to associate with the new flag.
temporarybooleanoptionalWhether the flag is temporary (short-lived) or permanent.
variationsarrayoptionalOptional array of variation objects defining the flag's possible values.
launchdarklymcp_create_playground#Create a new AI playground for testing prompts and AI configurations.3 params

Create a new AI playground for testing prompts and AI configurations.

NameTypeRequiredDescription
namestringrequiredName for the AI playground.
projectKeystringrequiredThe project key to associate this playground with.
descriptionstringoptionalDescription of the AI playground.
launchdarklymcp_create_prompt_snippet#Create a new reusable prompt snippet.6 params

Create a new reusable prompt snippet.

NameTypeRequiredDescription
keystringrequiredA unique key for the prompt snippet.
namestringrequiredThe name of the prompt snippet.
projectKeystringrequiredThe project key.
textstringrequiredThe text content of the prompt snippet.
descriptionstringoptionalA description of the prompt snippet.
tagsarrayoptionalArray of tags to categorize the prompt snippet.
launchdarklymcp_createdashboard#Create a new observability dashboard with custom panels and metrics.4 params

Create a new observability dashboard with custom panels and metrics.

NameTypeRequiredDescription
namestringrequiredThe name of the dashboard.
projectKeystringrequiredThe project key identifying which project to create the dashboard in.
descriptionstringoptionalAn optional description for the dashboard.
panelsarrayoptionalAn array of panel definitions for the dashboard.
launchdarklymcp_createdataset#Create a new offline dataset for AI evaluation. Provide the filename and format (csv, json, or jsonl). The dataset is created in pending status and must be uploaded separately. Returns the dataset ID and upload URL.5 params

Create a new offline dataset for AI evaluation. Provide the filename and format (csv, json, or jsonl). The dataset is created in pending status and must be uploaded separately. Returns the dataset ID and upload URL.

NameTypeRequiredDescription
filenamestringrequiredThe filename for the dataset including extension (e.g. data.csv).
formatstringrequiredThe format of the dataset file. One of: csv, json, or jsonl.
projectKeystringrequiredThe project key identifying which project to create the dataset in.
checksumstringoptionalA checksum hash of the dataset file for integrity validation.
sizenumberoptionalThe size of the dataset file in bytes.
launchdarklymcp_createevaluation#Create a new AI evaluation definition. An evaluation defines a comparison between AI Config variations using a dataset and judge criteria. After creation, use run-evaluation to start an evaluation run.5 params

Create a new AI evaluation definition. An evaluation defines a comparison between AI Config variations using a dataset and judge criteria. After creation, use run-evaluation to start an evaluation run.

NameTypeRequiredDescription
namestringrequiredA human-readable name for the evaluation.
projectKeystringrequiredThe project key identifying which project to create the evaluation in.
configKeystringoptionalThe key of the AI Config to evaluate.
datasetIdstringoptionalThe ID of the offline dataset to use for this evaluation.
variationKeysarrayoptionalArray of variation keys from the AI Config to include in the evaluation.
launchdarklymcp_createexperiment#Create a new experiment in a project environment. An experiment measures the impact of flag variations on metrics.8 params

Create a new experiment in a project environment. An experiment measures the impact of flag variations on metrics.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key where the experiment will run.
flagKeystringrequiredThe feature flag key that this experiment is based on.
namestringrequiredThe display name for the new experiment.
projectKeystringrequiredThe project key identifying the project to create the experiment in.
descriptionstringoptionalAn optional description for the experiment.
metricsarrayoptionalArray of metric objects to assign to the experiment.
randomizationUnitstringoptionalThe unit of randomization for the experiment (e.g. user, request).
treatmentsarrayoptionalArray of treatment objects defining the flag variations to include in the experiment.
launchdarklymcp_creategraph#Create a new agent graph definition. An agent graph defines a multi-step AI workflow with nodes and edges.5 params

Create a new agent graph definition. An agent graph defines a multi-step AI workflow with nodes and edges.

NameTypeRequiredDescription
namestringrequiredThe name of the agent graph.
projectKeystringrequiredThe project key identifying which project to create the graph in.
descriptionstringoptionalAn optional description for the agent graph.
edgesarrayoptionalAn array of edge definitions connecting nodes in the graph.
nodesarrayoptionalAn array of node definitions for the graph.
launchdarklymcp_createmetric#Create a new metric for use in experiments. Metrics define what to measure (click events, conversions, revenue, etc.) and how to analyze results.11 params

Create a new metric for use in experiments. Metrics define what to measure (click events, conversions, revenue, etc.) and how to analyze results.

NameTypeRequiredDescription
keystringrequiredNo description.
measureTypestringrequiredNo description.
namestringrequiredNo description.
projectKeystringrequiredNo description.
successCriteriastringrequiredNo description.
descriptionstringoptionalNo description.
eventKeystringoptionalNo description.
kindstringoptionalNo description.
randomizationUnitsarrayoptionalNo description.
tagsarrayoptionalNo description.
unitstringoptionalNo description.
launchdarklymcp_createproject#Create a new LaunchDarkly project. Projects are top-level containers for feature flags and environments.3 params

Create a new LaunchDarkly project. Projects are top-level containers for feature flags and environments.

NameTypeRequiredDescription
keystringrequiredA unique key for the new project. Used in API calls and SDK configuration.
namestringrequiredA human-readable name for the project.
tagsarrayoptionalOptional list of tags to categorize the project.
launchdarklymcp_delete_ai_config#Permanently delete an AI Config and all its variations. This is irreversible.2 params

Permanently delete an AI Config and all its variations. This is irreversible.

NameTypeRequiredDescription
configKeystringrequiredThe key of the AI Config to permanently delete.
projectKeystringrequiredThe project key identifying which project contains the AI Config to delete.
launchdarklymcp_delete_ai_config_variation#Delete a variation from an AI Config. This is permanent and cannot be undone.3 params

Delete a variation from an AI Config. This is permanent and cannot be undone.

NameTypeRequiredDescription
configKeystringrequiredThe key of the AI Config that contains the variation to delete.
projectKeystringrequiredThe project key identifying which project contains the AI Config.
variationIdstringrequiredThe ID of the variation to permanently delete.
launchdarklymcp_delete_flag#Permanently delete a feature flag and all its targeting rules across all environments. This is irreversible.3 params

Permanently delete a feature flag and all its targeting rules across all environments. This is irreversible.

NameTypeRequiredDescription
confirmbooleanrequiredMust be set to true to confirm permanent deletion of the flag.
flagKeystringrequiredThe key of the feature flag to permanently delete.
projectKeystringrequiredThe project key where the flag resides.
launchdarklymcp_delete_prompt_snippet#Delete an existing prompt snippet permanently.1 param

Delete an existing prompt snippet permanently.

NameTypeRequiredDescription
snippetIdstringrequiredThe ID of the prompt snippet to delete.
launchdarklymcp_deleteagentgraph#Permanently delete an agent graph definition. This cannot be undone.2 params

Permanently delete an agent graph definition. This cannot be undone.

NameTypeRequiredDescription
graphIdstringrequiredThe ID of the agent graph to permanently delete.
projectKeystringrequiredThe key of the project that contains the agent graph.
launchdarklymcp_deletedataset#Permanently delete an offline dataset and its associated metadata. THIS IS IRREVERSIBLE. Requires confirm=true to execute.3 params

Permanently delete an offline dataset and its associated metadata. THIS IS IRREVERSIBLE. Requires confirm=true to execute.

NameTypeRequiredDescription
confirmbooleanrequiredMust be set to true to confirm the irreversible deletion of the dataset.
datasetIdstringrequiredThe unique identifier of the dataset to permanently delete.
projectKeystringrequiredThe project key identifying which project the dataset belongs to.
launchdarklymcp_find_members#Search for organization members by email, name, or role.3 params

Search for organization members by email, name, or role.

NameTypeRequiredDescription
limitnumberoptionalMaximum number of members to return per page.
offsetnumberoptionalOffset for pagination.
querystringoptionalSearch query to filter members by email, name, or role.
launchdarklymcp_find_stale_flags#Find feature flags that haven't been evaluated recently and may be candidates for cleanup. Returns flags with their last evaluation time and staleness indicators.3 params

Find feature flags that haven't been evaluated recently and may be candidates for cleanup. Returns flags with their last evaluation time and staleness indicators.

NameTypeRequiredDescription
envstringrequiredThe environment key to check flag evaluation staleness in.
projectKeystringrequiredThe project key identifying which project to search for stale flags.
limitnumberoptionalMaximum number of stale flags to return.
launchdarklymcp_get_agent_graph#Get details about a specific agent graph definition.2 params

Get details about a specific agent graph definition.

NameTypeRequiredDescription
graphIdstringrequiredThe unique identifier of the agent graph.
projectKeystringrequiredThe project key for the LaunchDarkly project.
launchdarklymcp_get_ai_config#Get details about a specific AI Config including its variations and metadata.2 params

Get details about a specific AI Config including its variations and metadata.

NameTypeRequiredDescription
configKeystringrequiredThe key of the AI Config to retrieve.
projectKeystringrequiredThe project key where the AI Config resides.
launchdarklymcp_get_ai_config_health#Get the health status of an AI Config including latency, error rates, and evaluation metrics.3 params

Get the health status of an AI Config including latency, error rates, and evaluation metrics.

NameTypeRequiredDescription
configKeystringrequiredThe key of the AI Config to retrieve health status for.
environmentKeystringrequiredThe environment key to retrieve health metrics from.
projectKeystringrequiredThe project key identifying which project contains the AI Config.
launchdarklymcp_get_ai_config_status_across_envs#Get the status of an AI Config across all environments in a project.2 params

Get the status of an AI Config across all environments in a project.

NameTypeRequiredDescription
configKeystringrequiredThe key of the AI Config to retrieve status across all environments.
projectKeystringrequiredThe project key identifying which project contains the AI Config.
launchdarklymcp_get_ai_config_targeting#Get the targeting rules and rollout configuration for an AI Config in a specific environment.3 params

Get the targeting rules and rollout configuration for an AI Config in a specific environment.

NameTypeRequiredDescription
configKeystringrequiredThe key of the AI Config to retrieve targeting rules for.
envstringrequiredThe environment key to retrieve targeting configuration from.
projectKeystringrequiredThe project key identifying which project contains the AI Config.
launchdarklymcp_get_ai_tool#Get details about a specific AI tool definition.2 params

Get details about a specific AI tool definition.

NameTypeRequiredDescription
projectKeystringrequiredThe project key for the LaunchDarkly project.
toolIdstringrequiredThe unique identifier of the AI tool.
launchdarklymcp_get_flag#Get full details about a specific feature flag including all variations, targeting rules across environments, and metadata.3 params

Get full details about a specific feature flag including all variations, targeting rules across environments, and metadata.

NameTypeRequiredDescription
flagKeystringrequiredThe feature flag key to retrieve full details for.
projectKeystringrequiredThe project key identifying which project contains the flag.
envstringoptionalOptional environment key to scope the flag details to a specific environment.
launchdarklymcp_get_flag_health#Get health indicators for a feature flag including evaluation counts, error rates, and usage patterns.3 params

Get health indicators for a feature flag including evaluation counts, error rates, and usage patterns.

NameTypeRequiredDescription
envstringrequiredThe environment key to check flag health in.
flagKeystringrequiredThe feature flag key to retrieve health indicators for.
projectKeystringrequiredThe project key identifying which project contains the flag.
launchdarklymcp_get_flag_status_across_envs#Get the on/off status and targeting summary for a feature flag across all environments in a project.2 params

Get the on/off status and targeting summary for a feature flag across all environments in a project.

NameTypeRequiredDescription
flagKeystringrequiredThe feature flag key to get status for across all environments.
projectKeystringrequiredThe project key identifying which project contains the flag.
launchdarklymcp_get_member_self#Get the profile of the currently authenticated member, including their role and permissions.0 params

Get the profile of the currently authenticated member, including their role and permissions.

launchdarklymcp_get_playground#Retrieve a single AI playground by ID.1 param

Retrieve a single AI playground by ID.

NameTypeRequiredDescription
playgroundIdstringrequiredThe ID of the AI playground to retrieve.
launchdarklymcp_get_prompt_snippet#Retrieve a single prompt snippet by ID.1 param

Retrieve a single prompt snippet by ID.

NameTypeRequiredDescription
snippetIdstringrequiredThe ID of the prompt snippet to retrieve.
launchdarklymcp_getdashboard#Get a specific observability dashboard by ID, including its panels and configuration.2 params

Get a specific observability dashboard by ID, including its panels and configuration.

NameTypeRequiredDescription
dashboardIdstringrequiredThe unique identifier of the dashboard to retrieve.
projectKeystringrequiredThe project key identifying which project the dashboard belongs to.
launchdarklymcp_getdataset#Get details about a specific offline dataset by ID, including its processing status and row count.2 params

Get details about a specific offline dataset by ID, including its processing status and row count.

NameTypeRequiredDescription
datasetIdstringrequiredThe unique identifier of the dataset to retrieve.
projectKeystringrequiredThe project key identifying which project the dataset belongs to.
launchdarklymcp_getenvironment#Get details about a specific environment in a project, including its keys and settings.2 params

Get details about a specific environment in a project, including its keys and settings.

NameTypeRequiredDescription
environmentKeystringrequiredThe key of the environment to retrieve.
projectKeystringrequiredThe key of the project that contains the environment.
launchdarklymcp_getevaluation#Get details about a specific evaluation definition, including its configuration and last run status.2 params

Get details about a specific evaluation definition, including its configuration and last run status.

NameTypeRequiredDescription
evaluationIdstringrequiredThe unique identifier of the evaluation definition to retrieve.
projectKeystringrequiredThe project key identifying which project the evaluation belongs to.
launchdarklymcp_getevaluationrunsummary#Get the summary results of a completed evaluation run, including pass/fail counts and aggregate scores.3 params

Get the summary results of a completed evaluation run, including pass/fail counts and aggregate scores.

NameTypeRequiredDescription
evaluationIdstringrequiredThe unique identifier of the evaluation definition.
projectKeystringrequiredThe project key identifying which project the evaluation belongs to.
runIdstringrequiredThe unique identifier of the evaluation run to retrieve the summary for.
launchdarklymcp_getexperiment#Get details about a specific experiment including its configuration, current iteration status, and metric assignments.3 params

Get details about a specific experiment including its configuration, current iteration status, and metric assignments.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key where the experiment exists.
experimentKeystringrequiredThe experiment key identifying the experiment to retrieve.
projectKeystringrequiredThe project key identifying the project containing the experiment.
launchdarklymcp_getexperimentmetricresults#Get the metric results for a specific metric in an experiment iteration. Returns statistical analysis including p-values, confidence intervals, and improvement percentages for each treatment variation compared to the control.5 params

Get the metric results for a specific metric in an experiment iteration. Returns statistical analysis including p-values, confidence intervals, and improvement percentages for each treatment variation compared to the control.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key where the experiment is running.
experimentKeystringrequiredThe experiment key identifying the experiment.
iterationIdstringrequiredThe iteration ID for the experiment iteration to retrieve metric results from.
metricKeystringrequiredThe metric key identifying the specific metric to retrieve results for.
projectKeystringrequiredThe project key identifying the project containing the experiment.
launchdarklymcp_getexperimentresults#Get the results for all metrics in an experiment iteration.4 params

Get the results for all metrics in an experiment iteration.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key where the experiment is running.
experimentKeystringrequiredThe experiment key identifying the experiment.
iterationIdstringrequiredThe iteration ID for the experiment iteration to retrieve results from.
projectKeystringrequiredThe project key identifying the project containing the experiment.
launchdarklymcp_getkeys#Get the client-side SDK key, mobile key, and server-side SDK key for a specific environment. Use this to retrieve SDK initialization keys for a project environment.2 params

Get the client-side SDK key, mobile key, and server-side SDK key for a specific environment. Use this to retrieve SDK initialization keys for a project environment.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key identifying the environment to retrieve SDK keys for.
projectKeystringrequiredThe project key identifying the project to retrieve SDK keys for.
launchdarklymcp_getmetric#Get details about a specific metric including its configuration and associated experiments.2 params

Get details about a specific metric including its configuration and associated experiments.

NameTypeRequiredDescription
metricKeystringrequiredThe key of the metric to retrieve.
projectKeystringrequiredThe key of the project that contains the metric.
launchdarklymcp_getproject#Get details about a specific LaunchDarkly project, including its environments and settings.1 param

Get details about a specific LaunchDarkly project, including its environments and settings.

NameTypeRequiredDescription
projectKeystringrequiredThe key of the project to retrieve.
launchdarklymcp_getsdkactive#Check whether an SDK is actively connected and sending events for a specific environment. Returns the connection status and last seen time.2 params

Check whether an SDK is actively connected and sending events for a specific environment. Returns the connection status and last seen time.

NameTypeRequiredDescription
environmentKeystringrequiredThe key of the environment to check SDK activity in.
projectKeystringrequiredThe key of the project to check SDK activity for.
launchdarklymcp_invite_members#Invite new members to the LaunchDarkly organization by email address.1 param

Invite new members to the LaunchDarkly organization by email address.

NameTypeRequiredDescription
membersarrayrequiredList of members to invite, each with an email and optional role.
launchdarklymcp_list_agent_graphs#List all agent graph definitions in a project.3 params

List all agent graph definitions in a project.

NameTypeRequiredDescription
projectKeystringrequiredThe project key for the LaunchDarkly project.
limitnumberoptionalMaximum number of agent graphs to return per page.
offsetnumberoptionalOffset for pagination.
launchdarklymcp_list_ai_configs#List all AI Configs in a project with their current status and variation count.4 params

List all AI Configs in a project with their current status and variation count.

NameTypeRequiredDescription
projectKeystringrequiredThe project key to list AI Configs from.
limitnumberoptionalMaximum number of AI Configs to return per page.
offsetnumberoptionalOffset for pagination.
querystringoptionalSearch query to filter AI Configs by name or key.
launchdarklymcp_list_ai_tools#List all AI tool definitions in a project.3 params

List all AI tool definitions in a project.

NameTypeRequiredDescription
projectKeystringrequiredThe project key for the LaunchDarkly project.
limitnumberoptionalMaximum number of AI tools to return per page.
offsetnumberoptionalOffset for pagination.
launchdarklymcp_list_approval_requests#List pending and historical approval requests for flag changes in a project environment.6 params

List pending and historical approval requests for flag changes in a project environment.

NameTypeRequiredDescription
envstringrequiredThe environment key to filter approval requests for.
featureFlagKeystringrequiredThe feature flag key to filter approval requests for.
projectKeystringrequiredThe project key to list approval requests from.
flagKeystringoptionalAlias for featureFlagKey.
limitnumberoptionalMaximum number of approval requests to return per page.
offsetnumberoptionalOffset for pagination.
launchdarklymcp_list_playgrounds#List all AI playgrounds in the account.3 params

List all AI playgrounds in the account.

NameTypeRequiredDescription
limitnumberoptionalMaximum number of playgrounds to return per page.
offsetnumberoptionalOffset for pagination.
projectKeystringoptionalThe project key to filter playgrounds by.
launchdarklymcp_list_prompt_snippets#List all reusable prompt snippets.3 params

List all reusable prompt snippets.

NameTypeRequiredDescription
limitnumberoptionalMaximum number of prompt snippets to return per page.
offsetnumberoptionalOffset for pagination.
querystringoptionalFree-text search query to filter prompt snippets.
launchdarklymcp_listdashboards#List observability dashboards in a project.3 params

List observability dashboards in a project.

NameTypeRequiredDescription
projectKeystringrequiredThe project key identifying which project's dashboards to list.
limitnumberoptionalMaximum number of dashboards to return per page.
offsetnumberoptionalOffset for pagination. Set to current offset + limit to get the next page.
launchdarklymcp_listdatasets#List offline datasets for a project. Returns id, name, status, row count, and creation info for each dataset.3 params

List offline datasets for a project. Returns id, name, status, row count, and creation info for each dataset.

NameTypeRequiredDescription
projectKeystringrequiredThe project key identifying which project to list datasets for.
limitnumberoptionalMaximum number of datasets to return per page.
offsetnumberoptionalOffset for pagination. Set to current offset + limit to get the next page.
launchdarklymcp_listevaluations#List AI Config evaluations in a project. Returns evaluation definitions with their names, associated config keys, and last run info.4 params

List AI Config evaluations in a project. Returns evaluation definitions with their names, associated config keys, and last run info.

NameTypeRequiredDescription
projectKeystringrequiredThe project key identifying which project to list evaluations for.
limitnumberoptionalMaximum number of evaluations to return per page.
offsetnumberoptionalOffset for pagination. Set to current offset + limit to get the next page.
searchstringoptionalSearch term to filter evaluations by name.
launchdarklymcp_listexperiments#List experiments in a project environment. Returns experiment configurations with their current iteration status.4 params

List experiments in a project environment. Returns experiment configurations with their current iteration status.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key to scope the experiment list to.
projectKeystringrequiredThe project key identifying the project whose experiments to list.
limitnumberoptionalMaximum number of experiments to return per page.
offsetnumberoptionalOffset for pagination. Set to current offset + limit to get the next page.
launchdarklymcp_listflags#Search and browse feature flags in a project. Returns a paginated list scoped to a single environment. Filtering: - `query`: search by flag name or key (case-insensitive) - `tags`: array of tags (all must match) - `state`: lifecycle state — `live`, `deprecated`, or `archived`. Defaults to `live` - `type`: `temporary` or `permanent` - `maintainerId`: member ID of the flag maintainer (use get-member-self or find-members to resolve) - `maintainerTeamKey`: team key of the maintaining team - `sdkAvailability`: one of `client`, `mobile`, `anyClient`, `server` Sorting: use `sort` with `creationDate` or `name`; prefix with `-` for descending. Defaults to `-creationDate`. Pagination: responses include `totalCount` and `pageInfo.offset`. To get the next page, set `offset` to the current offset + limit.12 params

Search and browse feature flags in a project. Returns a paginated list scoped to a single environment. Filtering: - `query`: search by flag name or key (case-insensitive) - `tags`: array of tags (all must match) - `state`: lifecycle state — `live`, `deprecated`, or `archived`. Defaults to `live` - `type`: `temporary` or `permanent` - `maintainerId`: member ID of the flag maintainer (use get-member-self or find-members to resolve) - `maintainerTeamKey`: team key of the maintaining team - `sdkAvailability`: one of `client`, `mobile`, `anyClient`, `server` Sorting: use `sort` with `creationDate` or `name`; prefix with `-` for descending. Defaults to `-creationDate`. Pagination: responses include `totalCount` and `pageInfo.offset`. To get the next page, set `offset` to the current offset + limit.

NameTypeRequiredDescription
projectKeystringrequiredThe project key identifying which project's flags to list.
envstringoptionalThe environment key to scope the flag list to.
limitnumberoptionalMaximum number of flags to return per page.
maintainerIdstringoptionalMember ID of the flag maintainer. Use get-member-self or find-members to resolve.
maintainerTeamKeystringoptionalTeam key of the maintaining team.
offsetnumberoptionalOffset for pagination. Set to current offset + limit to get the next page.
querystringoptionalSearch by flag name or key (case-insensitive).
sdkAvailabilitystringoptionalFilter by SDK availability: client, mobile, anyClient, or server.
sortstringoptionalSort flags by creationDate or name. Prefix with - for descending. Defaults to -creationDate.
statestringoptionalLifecycle state filter: live, deprecated, or archived. Defaults to live.
tagsarrayoptionalArray of tags to filter by. All specified tags must match.
typestringoptionalFilter by flag type: temporary or permanent.
launchdarklymcp_listmetricevents#List metric event types available in a project. Metric events are the raw events tracked for custom metrics.3 params

List metric event types available in a project. Metric events are the raw events tracked for custom metrics.

NameTypeRequiredDescription
projectKeystringrequiredThe key of the project to list metric events for.
limitnumberoptionalMaximum number of metric events to return per page.
offsetnumberoptionalOffset for pagination. Set to current offset + limit to get the next page.
launchdarklymcp_listmetrics#List metrics in a project. Returns metric configurations for use in experiments.3 params

List metrics in a project. Returns metric configurations for use in experiments.

NameTypeRequiredDescription
projectKeystringrequiredThe key of the project to list metrics for.
limitnumberoptionalMaximum number of metrics to return per page.
offsetnumberoptionalOffset for pagination. Set to current offset + limit to get the next page.
launchdarklymcp_listreleasepolicies#List release policies for a project. Release policies define automated release pipeline stages.3 params

List release policies for a project. Release policies define automated release pipeline stages.

NameTypeRequiredDescription
projectKeystringrequiredThe key of the project to list release policies for.
limitnumberoptionalMaximum number of release policies to return per page.
offsetnumberoptionalOffset for pagination. Set to current offset + limit to get the next page.
launchdarklymcp_manage_expiring_targets#Add or update expiring user targets on a flag — targets that will be automatically removed after a specified date.4 params

Add or update expiring user targets on a flag — targets that will be automatically removed after a specified date.

NameTypeRequiredDescription
envstringrequiredThe environment key where the expiring targets apply.
flagKeystringrequiredThe key of the feature flag to manage expiring targets on.
projectKeystringrequiredThe project key where the flag resides.
targetsarrayoptionalArray of expiring target objects specifying users and their expiration dates.
launchdarklymcp_previewgraph#Preview how an agent graph would execute for a given input without persisting any state. Returns the execution trace.2 params

Preview how an agent graph would execute for a given input without persisting any state. Returns the execution trace.

NameTypeRequiredDescription
graphIdstringrequiredThe ID of the agent graph to preview.
inputobjectrequiredThe input object to pass to the graph for preview execution.
launchdarklymcp_query_change_history#Query the audit log to find what changed in a LaunchDarkly account.9 params

Query the audit log to find what changed in a LaunchDarkly account.

NameTypeRequiredDescription
endDatestringoptionalEnd date for the audit log query (ISO 8601 format).
envstringoptionalThe environment key to scope the query to.
limitnumberoptionalMaximum number of audit log entries to return.
projectKeystringoptionalThe project key to scope the audit log query to.
querystringoptionalFree-text search query to filter audit log entries.
resourceKeystringoptionalThe key of the specific resource to filter audit log entries for.
resourceKindstringoptionalThe kind of resource to filter audit log entries for (e.g. flag, segment).
startDatestringoptionalStart date for the audit log query (ISO 8601 format).
tagsarrayoptionalArray of tags to filter audit log entries by.
launchdarklymcp_queryaggregations#Query aggregated metric data for custom metrics in a project environment.6 params

Query aggregated metric data for custom metrics in a project environment.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key to scope the aggregations query to.
metricKeystringrequiredThe metric key identifying which custom metric to query aggregations for.
projectKeystringrequiredThe project key identifying which project to query aggregations for.
aggregationTypestringoptionalThe type of aggregation to apply to the metric data.
endTimestringoptionalThe end of the time window for the query (ISO 8601 format).
startTimestringoptionalThe start of the time window for the query (ISO 8601 format).
launchdarklymcp_queryerrorgroups#Query error groups for a project environment to identify recurring errors.5 params

Query error groups for a project environment to identify recurring errors.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key to scope the error groups query to.
projectKeystringrequiredThe project key identifying which project to query error groups for.
endTimestringoptionalThe end of the time window for the query (ISO 8601 format).
limitnumberoptionalMaximum number of error groups to return.
startTimestringoptionalThe start of the time window for the query (ISO 8601 format).
launchdarklymcp_queryflagevaluations#Query flag evaluation events for observability. Returns counts and details of flag evaluations over a time window.6 params

Query flag evaluation events for observability. Returns counts and details of flag evaluations over a time window.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key to scope the flag evaluation query to.
projectKeystringrequiredThe project key identifying which project to query flag evaluations for.
endTimestringoptionalThe end of the time window for the query (ISO 8601 format).
flagKeystringoptionalThe flag key to filter evaluations for a specific flag.
limitnumberoptionalMaximum number of evaluation events to return.
startTimestringoptionalThe start of the time window for the query (ISO 8601 format).
launchdarklymcp_querylogs#Query log events for a project environment for debugging and observability.6 params

Query log events for a project environment for debugging and observability.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key to scope the logs query to.
projectKeystringrequiredThe project key identifying which project to query logs for.
endTimestringoptionalThe end of the time window for the query (ISO 8601 format).
limitnumberoptionalMaximum number of log events to return.
querystringoptionalA search query string to filter log events.
startTimestringoptionalThe start of the time window for the query (ISO 8601 format).
launchdarklymcp_querysessions#Query session replay data for user sessions in a project.5 params

Query session replay data for user sessions in a project.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key to scope the sessions query to.
projectKeystringrequiredThe project key identifying which project to query session data for.
endTimestringoptionalThe end of the time window for the query (ISO 8601 format).
limitnumberoptionalMaximum number of sessions to return.
startTimestringoptionalThe start of the time window for the query (ISO 8601 format).
launchdarklymcp_querytimelineevents#Query timeline events for a project environment, such as flag changes, deployments, and other notable events.5 params

Query timeline events for a project environment, such as flag changes, deployments, and other notable events.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key to scope the timeline events query to.
projectKeystringrequiredThe project key identifying which project to query timeline events for.
endTimestringoptionalThe end of the time window for the query (ISO 8601 format).
limitnumberoptionalMaximum number of timeline events to return.
startTimestringoptionalThe start of the time window for the query (ISO 8601 format).
launchdarklymcp_querytraces#Query distributed traces for a project environment for observability and debugging.6 params

Query distributed traces for a project environment for observability and debugging.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key to scope the traces query to.
projectKeystringrequiredThe project key identifying which project to query traces for.
endTimestringoptionalThe end of the time window for the query (ISO 8601 format).
limitnumberoptionalMaximum number of traces to return.
startTimestringoptionalThe start of the time window for the query (ISO 8601 format).
traceIdstringoptionalFilter traces by a specific trace ID.
launchdarklymcp_runevaluation#Start a new run of an AI evaluation. This executes the evaluation against the configured dataset and judge criteria. Returns the run ID and status.2 params

Start a new run of an AI evaluation. This executes the evaluation against the configured dataset and judge criteria. Returns the run ID and status.

NameTypeRequiredDescription
evaluationIdstringrequiredThe unique identifier of the evaluation to run.
projectKeystringrequiredThe project key identifying which project the evaluation belongs to.
launchdarklymcp_saveandstartexperimentiteration#Update an experiment's configuration and immediately start a new iteration. Combines update-experiment and start-experiment-iteration into one step.5 params

Update an experiment's configuration and immediately start a new iteration. Combines update-experiment and start-experiment-iteration into one step.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key where the experiment will run.
experimentKeystringrequiredThe experiment key identifying the experiment to update and start.
projectKeystringrequiredThe project key identifying the project containing the experiment.
metricsarrayoptionalArray of metric objects to assign to the experiment iteration.
treatmentsarrayoptionalArray of treatment objects defining the flag variations to include in the experiment.
launchdarklymcp_setup_ai_config#Initialize an AI Config with its first variation and targeting setup in one step.5 params

Initialize an AI Config with its first variation and targeting setup in one step.

NameTypeRequiredDescription
configKeystringrequiredThe key of the AI Config to initialize.
environmentKeystringrequiredThe environment key to set up the AI Config in.
projectKeystringrequiredThe project key identifying which project to set up the AI Config in.
modelobjectoptionalModel settings for the initial variation.
promptarrayoptionalPrompt messages for the initial variation.
launchdarklymcp_startexperimentiteration#Start a new iteration for an experiment. The experiment must be configured with metrics and treatments.3 params

Start a new iteration for an experiment. The experiment must be configured with metrics and treatments.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key where the experiment will run.
experimentKeystringrequiredThe experiment key identifying the experiment to start a new iteration for.
projectKeystringrequiredThe project key identifying the project containing the experiment.
launchdarklymcp_startguardedrollout#Start a guarded rollout on a flag's default rule. A guarded rollout progressively increases traffic to the test variation while monitoring metrics for regressions.9 params

Start a guarded rollout on a flag's default rule. A guarded rollout progressively increases traffic to the test variation while monitoring metrics for regressions.

NameTypeRequiredDescription
controlVariationIdstringrequiredThe ID of the control variation to compare against during the rollout.
environmentKeystringrequiredThe environment key where the guarded rollout will be started.
flagKeystringrequiredThe key of the feature flag to start a guarded rollout on.
metricsarrayrequiredArray of metric configurations to monitor for regressions during the rollout.
projectKeystringrequiredThe project key identifying which project the flag belongs to.
randomizationUnitstringrequiredThe context kind used to randomize traffic between variations (e.g. user, organization).
stagesarrayrequiredArray of rollout stage configurations defining traffic percentages and hold durations.
testVariationIdstringrequiredThe ID of the variation to progressively roll out as the test variation.
commentstringoptionalAn optional comment explaining the purpose of this guarded rollout.
launchdarklymcp_stopexperimentiteration#Stop the currently running iteration of an experiment. This ends data collection for the iteration.3 params

Stop the currently running iteration of an experiment. This ends data collection for the iteration.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key where the experiment is running.
experimentKeystringrequiredThe experiment key identifying the experiment whose iteration should be stopped.
projectKeystringrequiredThe project key identifying the project containing the experiment.
launchdarklymcp_stopguardedrollout#Stop an active guarded rollout on a flag's default rule. This immediately halts the progressive rollout.4 params

Stop an active guarded rollout on a flag's default rule. This immediately halts the progressive rollout.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key where the guarded rollout is active.
flagKeystringrequiredThe key of the feature flag with an active guarded rollout.
projectKeystringrequiredThe project key identifying which project the flag belongs to.
commentstringoptionalAn optional comment explaining why the rollout is being stopped.
launchdarklymcp_toggle_flag#Turn a feature flag on or off in a specific environment. When off, all users receive the off variation.5 params

Turn a feature flag on or off in a specific environment. When off, all users receive the off variation.

NameTypeRequiredDescription
envstringrequiredThe environment key where the flag should be toggled.
flagKeystringrequiredThe feature flag key to toggle on or off.
onbooleanrequiredSet to true to turn the flag on, or false to turn it off.
projectKeystringrequiredThe project key identifying which project contains the flag.
commentstringoptionalOptional comment describing why the flag was toggled.
launchdarklymcp_update_ai_config#Update the metadata for an AI Config such as name, description, and tags.5 params

Update the metadata for an AI Config such as name, description, and tags.

NameTypeRequiredDescription
configKeystringrequiredThe key of the AI Config to update.
projectKeystringrequiredThe project key identifying which project contains the AI Config.
descriptionstringoptionalThe updated description for the AI Config.
namestringoptionalThe updated display name for the AI Config.
tagsarrayoptionalArray of tags to associate with the AI Config.
launchdarklymcp_update_ai_config_individual_targets#Update the individual user targeting for an AI Config in a specific environment.4 params

Update the individual user targeting for an AI Config in a specific environment.

NameTypeRequiredDescription
configKeystringrequiredThe key of the AI Config to update.
envstringrequiredThe environment key where the AI Config targeting will be updated.
projectKeystringrequiredThe project key for the LaunchDarkly project.
targetsarrayoptionalThe individual user targets to set for this AI Config.
launchdarklymcp_update_ai_config_rollout#Update the rollout percentages for an AI Config's default rule in a specific environment.4 params

Update the rollout percentages for an AI Config's default rule in a specific environment.

NameTypeRequiredDescription
configKeystringrequiredThe key of the AI Config to update.
envstringrequiredThe environment key where the rollout will be updated.
projectKeystringrequiredThe project key for the LaunchDarkly project.
rolloutobjectoptionalThe rollout configuration defining percentage splits across variations.
launchdarklymcp_update_ai_config_targeting_rules#Update the targeting rules for an AI Config in a specific environment.4 params

Update the targeting rules for an AI Config in a specific environment.

NameTypeRequiredDescription
configKeystringrequiredThe key of the AI Config to update targeting rules for.
envstringrequiredThe environment key where targeting rules will be updated.
projectKeystringrequiredThe project key identifying which project contains the AI Config.
rulesarrayoptionalArray of targeting rule objects to apply to the AI Config.
launchdarklymcp_update_ai_config_variation#Update a specific variation of an AI Config, including its prompt, model settings, and parameters.6 params

Update a specific variation of an AI Config, including its prompt, model settings, and parameters.

NameTypeRequiredDescription
configKeystringrequiredThe key of the AI Config that contains the variation to update.
projectKeystringrequiredThe project key identifying which project contains the AI Config.
variationIdstringrequiredThe ID of the variation to update.
modelobjectoptionalModel settings for this variation such as model name and parameters.
namestringoptionalThe updated name for the variation.
promptarrayoptionalPrompt messages array for this variation.
launchdarklymcp_update_flag_settings#Update a feature flag's global settings such as name, description, tags, temporary status, and maintainer.4 params

Update a feature flag's global settings such as name, description, tags, temporary status, and maintainer.

NameTypeRequiredDescription
flagKeystringrequiredNo description.
instructionsarrayrequiredNo description.
projectKeystringrequiredNo description.
commentstringoptionalNo description.
launchdarklymcp_update_individual_targets#Update the individual user targets for a flag variation in a specific environment. Add or remove specific user keys from a variation's target list.4 params

Update the individual user targets for a flag variation in a specific environment. Add or remove specific user keys from a variation's target list.

NameTypeRequiredDescription
envstringrequiredThe environment key where the individual targets should be updated.
flagKeystringrequiredThe feature flag key to update individual targets for.
projectKeystringrequiredThe project key identifying which project contains the flag.
targetsarrayoptionalArray of target objects specifying user keys and their assigned variations.
launchdarklymcp_update_playground#Update an existing AI playground configuration.4 params

Update an existing AI playground configuration.

NameTypeRequiredDescription
playgroundIdstringrequiredThe ID of the AI playground to update.
descriptionstringoptionalUpdated description of the AI playground.
namestringoptionalUpdated name for the AI playground.
projectKeystringoptionalThe project key the playground belongs to.
launchdarklymcp_update_prerequisites#Update the prerequisite flags for a feature flag in a specific environment. Prerequisite flags must be in a specific variation before the dependent flag serves its variations.4 params

Update the prerequisite flags for a feature flag in a specific environment. Prerequisite flags must be in a specific variation before the dependent flag serves its variations.

NameTypeRequiredDescription
envstringrequiredThe environment key where the prerequisites should be updated.
flagKeystringrequiredThe feature flag key to update prerequisites for.
projectKeystringrequiredThe project key identifying which project contains the flag.
prerequisitesarrayoptionalArray of prerequisite flag objects, each with a key and required variation index.
launchdarklymcp_update_prompt_snippet#Update an existing prompt snippet.4 params

Update an existing prompt snippet.

NameTypeRequiredDescription
contentstringrequiredThe updated content of the prompt snippet.
namestringrequiredThe updated name of the prompt snippet.
snippetIdstringrequiredThe ID of the prompt snippet to update.
tagsarrayoptionalUpdated array of tags for the prompt snippet.
launchdarklymcp_update_rollout#Update the default rule (fallthrough) rollout percentages for a flag in a specific environment.4 params

Update the default rule (fallthrough) rollout percentages for a flag in a specific environment.

NameTypeRequiredDescription
envstringrequiredThe environment key where the rollout should be updated.
flagKeystringrequiredThe feature flag key to update rollout for.
projectKeystringrequiredThe project key identifying which project contains the flag.
rolloutobjectoptionalRollout configuration object specifying variation weights for the default rule.
launchdarklymcp_update_targeting_rules#Update the targeting rules for a feature flag in a specific environment. Rules determine which users see which variation based on user attributes.4 params

Update the targeting rules for a feature flag in a specific environment. Rules determine which users see which variation based on user attributes.

NameTypeRequiredDescription
envstringrequiredThe environment key where the targeting rules should be updated.
flagKeystringrequiredThe feature flag key to update targeting rules for.
projectKeystringrequiredThe project key identifying which project contains the flag.
rulesarrayoptionalArray of targeting rule objects defining conditions and variation assignments.
launchdarklymcp_updateagentgraph#Update an existing agent graph definition, modifying its nodes, edges, or metadata.6 params

Update an existing agent graph definition, modifying its nodes, edges, or metadata.

NameTypeRequiredDescription
graphIdstringrequiredThe ID of the agent graph to update.
projectKeystringrequiredThe key of the project that contains the agent graph.
descriptionstringoptionalA new description for the agent graph.
edgesarrayoptionalUpdated list of edge definitions connecting nodes in the agent graph.
namestringoptionalA new display name for the agent graph.
nodesarrayoptionalUpdated list of node definitions for the agent graph.
launchdarklymcp_updateexperiment#Update an existing experiment's configuration including name, description, metrics, treatments, and randomization unit.7 params

Update an existing experiment's configuration including name, description, metrics, treatments, and randomization unit.

NameTypeRequiredDescription
environmentKeystringrequiredThe environment key where the experiment exists.
experimentKeystringrequiredThe experiment key identifying the experiment to update.
projectKeystringrequiredThe project key identifying the project containing the experiment.
descriptionstringoptionalThe updated description for the experiment.
metricsarrayoptionalUpdated array of metric objects to assign to the experiment.
namestringoptionalThe updated display name for the experiment.
treatmentsarrayoptionalUpdated array of treatment objects defining the flag variations to include.
launchdarklymcp_vent#Report a missing capability, bug, parameter gap, or unclear error encountered while using LaunchDarkly MCP tools. This feedback is collected and triaged to improve the toolset. Use this when a tool is missing, returns an unexpected error, or lacks a needed parameter.5 params

Report a missing capability, bug, parameter gap, or unclear error encountered while using LaunchDarkly MCP tools. This feedback is collected and triaged to improve the toolset. Use this when a tool is missing, returns an unexpected error, or lacks a needed parameter.

NameTypeRequiredDescription
categorystringrequiredThe category of the issue being reported.
descriptionstringrequiredA description of the issue or missing capability.
contextstringoptionalAdditional context about the situation when the issue occurred.
errorMessagestringoptionalThe error message received, if any.
toolNamestringoptionalThe name of the tool that has the issue, if applicable.