Connect AI agents to the LeadBoxer MCP server

1. Install the SDK

   Node.js

   npm install @scalekit-sdk/node dotenv

   Python

   pip install scalekit-sdk-python python-dotenv

   Full SDK reference: Node.js | Python

2. 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

   Node.js

   quickstart.mts

   import { ScalekitClient } from '@scalekit-sdk/node'
   import 'dotenv/config'
   import { createInterface } from 'node:readline/promises'
   
   const scalekit = new ScalekitClient(
     process.env.SCALEKIT_ENVIRONMENT_URL,
     process.env.SCALEKIT_CLIENT_ID,
     process.env.SCALEKIT_CLIENT_SECRET,
   )
   const actions = scalekit.actions
   
   const connector = 'leadboxermcp'
   const identifier = 'user_123'
   
   // Generate an authorization link for the user
   const { link } = await actions.getAuthorizationLink({ connectionName: connector, identifier })
   console.log('Authorize LeadBoxer MCP:', link)
   const rl = createInterface({ input: process.stdin, output: process.stdout })
   await rl.question('Press Enter after authorizing...')
   rl.close()
   
   // Make your first call
   const result = await actions.executeTool({
     connector,
     identifier,
     toolName: 'leadboxermcp_list_specs',
     toolInput: {},
   })
   console.log(result)

   npx tsx quickstart.mts

   Python

   quickstart.py

   import os
   from scalekit import ScalekitClient
   from dotenv import load_dotenv
   load_dotenv()
   
   scalekit_client = ScalekitClient(
       env_url=os.getenv("SCALEKIT_ENVIRONMENT_URL"),
       client_id=os.getenv("SCALEKIT_CLIENT_ID"),
       client_secret=os.getenv("SCALEKIT_CLIENT_SECRET"),
   )
   actions = scalekit_client.actions
   
   connection_name = "leadboxermcp"
   identifier = "user_123"
   
   # Generate an authorization link for the user
   link_response = actions.get_authorization_link(
       connection_name=connection_name,
       identifier=identifier,
   )
   print("Authorize LeadBoxer MCP:", link_response.link)
   input("Press Enter after authorizing...")
   
   # Make your first call
   result = actions.execute_tool(
       tool_input={},
       tool_name="leadboxermcp_list_specs",
       connection_name=connection_name,
       identifier=identifier,
   )
   print(result)

   python quickstart.py

What you can do

Connect this agent connector to let your agent:

• Search endpoints — Performs a deep search through paths, operations, and parameters to discover relevant API endpoints
• List specs, endpoints — Lists all available OpenAPI specs
• Get endpoint — Gets detailed information about a specific API endpoint, including security schemes and servers
• Execute request — Executes an API request with a given HAR request object

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.

leadboxermcp_execute_request#Executes an API request with a given HAR request object.2 params▾

Executes an API request with a given HAR request object.

NameTypeRequiredDescription

harRequestobjectrequiredHAR request object describing the API call to execute.

titlestringrequiredTitle of the OpenAPI spec.

leadboxermcp_get_endpoint#Gets detailed information about a specific API endpoint, including security schemes and servers.3 params▾

Gets detailed information about a specific API endpoint, including security schemes and servers.

NameTypeRequiredDescription

methodstringrequiredThe HTTP method (e.g. GET, POST, PUT, DELETE).

pathstringrequiredThe API endpoint path (e.g. /api/v1/users).

titlestringrequiredTitle of the OpenAPI spec.

leadboxermcp_list_endpoints#Lists all API paths and their HTTP methods with summaries, organized by path. Results can be passed directly into 'get-endpoint'.1 param▾

Lists all API paths and their HTTP methods with summaries, organized by path. Results can be passed directly into 'get-endpoint'.

NameTypeRequiredDescription

titlestringrequiredTitle of the OpenAPI spec. Use tool 'list-specs' or 'search-endpoints' to see available specs.

leadboxermcp_list_specs#Lists all available OpenAPI specs. Use the title to select a spec.0 params▾

Lists all available OpenAPI specs. Use the title to select a spec.

leadboxermcp_search_endpoints#Performs a deep search through paths, operations, and parameters to discover relevant API endpoints.1 param▾

Performs a deep search through paths, operations, and parameters to discover relevant API endpoints.

NameTypeRequiredDescription

patternstringrequiredSearch pattern (case-insensitive).