The Crossbeam MCP connector routes your AI agent's tool calls to Crossbeam's own MCP server through Scalekit. Each user signs in to Crossbeam once, and Scalekit stores and refreshes their tokens, so your agent never handles credentials. It comes with 9 tools.
- Tools
- 9
- What they doRead · write · destructive
- 9 · 0 · 09 read0 write0 destructive
- Users sign in with
- OAuth
- OAuth app
- Scalekit's or your own
Setup
Install the SDK
Terminal window npm install @scalekit-sdk/node dotenvTerminal window pip install scalekit-sdk-python python-dotenvSet your credentials
Add your Scalekit credentials to your
.envfile. 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>Create the Crossbeam MCP connection
In AgentKit > Connections, create a Crossbeam MCP connection. The name you give it is the
connection_nameyour code passes. See Configure connections.Scalekit credentials are available for Crossbeam MCP server, so you don't need to register an OAuth app.
Authorize a user and make your first call
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.actionsconst connector = 'crossbeammcp'const identifier = 'user_123'// Generate an authorization link for the userconst { link } = await actions.getAuthorizationLink({ connectionName: connector, identifier })console.log('Authorize Crossbeam MCP:', link)const rl = createInterface({ input: process.stdin, output: process.stdout })await rl.question('Press Enter after authorizing...')rl.close()// Make your first callconst result = await actions.executeTool({connector,identifier,toolName: 'crossbeammcp_find_overlaps',toolInput: {},})console.log(result)Terminal window npx tsx quickstart.mtsquickstart.py import osfrom scalekit import ScalekitClientfrom dotenv import load_dotenvload_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.actionsconnection_name = "crossbeammcp"identifier = "user_123"# Generate an authorization link for the userlink_response = actions.get_authorization_link(connection_name=connection_name,identifier=identifier,)print("Authorize Crossbeam MCP:", link_response.link)input("Press Enter after authorizing...")# Make your first callresult = actions.execute_tool(tool_input={},tool_name="crossbeammcp_find_overlaps",connection_name=connection_name,identifier=identifier,)print(result)Terminal window python quickstart.pyEach user signs in once. See Authorize a user for the full flow and statuses.
Tools
Pass the exact name toexecute_toolcrossbeammcp_find_overlap_partnersIdentify which partners have a given account in their data, revealing who can help with a specific company.Read-onlyFind Overlap Partners
Identify which partners have a given account in their data, revealing who can help with a specific company.
Inputs
accountstringrequired- The account to check for partner overlaps, specified as a company name, domain, or CRM record ID.
crossbeammcp_find_overlapsPull a list of accounts you share with one or more partners.Read-onlyFind Overlaps
Pull a list of accounts you share with one or more partners. Supports filtering by partner, population, segment, and partner score.
Inputs
limitnumber- Maximum number of overlapping accounts to return.default
10 min_partner_scorenumber- Minimum partner score required for an overlap to be included.
partnersarray- Partner organization names to find shared accounts (overlaps) with. Omit to include all partners.
populationstring- Population to filter overlaps by, such as customers, prospects, or open opportunities.
segmentstring- Segment to filter overlaps by.
crossbeammcp_find_partner_recommendationsReturn ranked partner suggestions for an open opportunity, helping identify which partners can best assist with a deal.Read-onlyFind Partner Recommendations
Return ranked partner suggestions for an open opportunity, helping identify which partners can best assist with a deal.
Inputs
opportunitystringrequired- The open opportunity to get partner recommendations for, specified as an opportunity name or CRM opportunity ID.
accountstring- The account associated with the opportunity, specified as a company name, domain, or CRM record ID.
limitnumber- Maximum number of recommended partners to return.default
10
crossbeammcp_get_account_contextRetrieve a unified view of an account, including details and owner information.Read-onlyGet Account Context
Retrieve a unified view of an account, including details and owner information. Look up by domain, CRM record ID, or company name.
Inputs
accountstringrequired- The account to look up, specified as a company name, domain, or CRM record ID.
crossbeammcp_get_ecosystem_activitySurface recent partner activity across your ecosystem, such as new overlaps, updates, and engagement signals.Read-onlyGet Ecosystem Activity
Surface recent partner activity across your ecosystem, such as new overlaps, updates, and engagement signals.
Inputs
limitnumber- Maximum number of activity items to return.default
10 partnerstring- Limit activity to a specific partner organization. Omit to include activity across all partners.
sincestring- Only include activity on or after this date (ISO 8601 format, e.g. 2026-01-01).
crossbeammcp_get_list_linkGenerate a shareable Crossbeam list link from a plain-language description of the accounts or overlaps you want to share.Read-onlyGet List Link
Generate a shareable Crossbeam list link from a plain-language description of the accounts or overlaps you want to share.
Inputs
querystringrequired- Plain-language description of the list to generate, such as the accounts, partners, or overlaps to include.
crossbeammcp_get_partner_contextProvide an overview of a partner relationship, including scores and recent activity.Read-onlyGet Partner Context
Provide an overview of a partner relationship, including scores and recent activity. Filter by partner name, tag, or region.
Inputs
partnerstring- The partner organization name to retrieve context for.
regionstring- Filter partners by region.
tagstring- Filter partners by tag.
crossbeammcp_get_partner_suggestionsSurface potential new partners based on ecosystem fit, helping expand your partner network.Read-onlyGet Partner Suggestions
Surface potential new partners based on ecosystem fit, helping expand your partner network.
Inputs
limitnumber- Maximum number of suggested partners to return.default
10
crossbeammcp_search_crossbeam_knowledgeAnswer Crossbeam product questions and surface best practices from the Crossbeam knowledge base.Read-onlySearch Crossbeam Knowledge
Answer Crossbeam product questions and surface best practices from the Crossbeam knowledge base.
Inputs
querystringrequired- The product question or topic to search the Crossbeam knowledge base for.
No tools match.