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Connect AI agents to the IGPT MCP server

Vendor MCP2 toolsOAuth 2.1/DCRAIProductivity

The IGPT MCP connector routes your AI agent's tool calls to IGPT's own MCP server through Scalekit. Each user signs in to IGPT once, and Scalekit stores and refreshes their tokens, so your agent never handles credentials. It comes with 2 tools.

  1. Install the SDK

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

    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.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 = 'igptmcp'
    const identifier = 'user_123'
    

    // Generate an authorization link for the user
    const { link } = await actions.getAuthorizationLink({ connectionName: connector, identifier })
    console.log('Authorize IGPT 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: 'igptmcp_search',
      toolInput: {},
    })
    console.log(result)
    Terminal window
    npx tsx quickstart.mts

What you can do

Section titled “What you can do”

Connect this agent connector to let your agent:

  • Search records — Search connected datasources which include documents and messages
  • Ask records — Sends user question to backend and returns answer based on connected datasources which include documents and messages

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.

igptmcp_ask#Sends user question to backend and returns answer based on connected datasources which include documents and messages2 params

Sends user question to backend and returns answer based on connected datasources which include documents and messages

NameTypeRequiredDescription
inputstringrequiredUser input question
output_formatstringoptionalOutput format. Use "json" for a automatic generic object, or provide a JSON Schema to enforce a specific output structure ex:{"schema":{"type":"object"}}