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CrewAI Enterprise MCP Server

Official
by crewAIInc
GitHub
Python
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local-only server

The server can only run on the client’s local machine because it depends on local resources.

Integrations

  • Enables starting deployed CrewAI workflows and monitoring their execution status, retrieving results from CrewAI workflows through the CrewAI Enterprise platform.

CrewAI Enterprise MCP Server

Overview

A Model Context Protocol (MCP) server implementation that provides deployed CrewAI workflows. This server enables kicking off your deployed crew and inspect the status giving the results of your crew.

Tools

  • kickoff_crew
  • get_crew_status

Env Variables

retrieve from app.crewai.com MCP_CREWAI_ENTERPRISE_SERVER_URL MCP_CREWAI_ENTERPRISE_BEARER_TOKEN

Usage with Claude Desktop

To use this MCP server with Claude Desktop, follow these steps:

  1. Open Claude Desktop
  2. Go to Settings > Developer Settings
  3. Add a new MCP server with the configuration shown below

Locally, cloned repo:

Install mcp and mcp[cli] locally

{ "mcpServers": { "crewai_enterprise_server": { "command": "uv", "args": [ "run", "--with", "mcp[cli]", "mcp", "run", "<filepath of cloned repo>", "/crewai_enterprise_server.py" ], "env": { "MCP_CREWAI_ENTERPRISE_SERVER_URL": "<>", "MCP_CREWAI_ENTERPRISE_BEARER_TOKEN": "<>" } } } }

TODO: Added on PyPI:

This server cannot be installed

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A Model Context Protocol server that enables users to kickoff and monitor deployed CrewAI workflows through Claude Desktop.

  1. Overview
    1. Tools
      1. Env Variables
        1. Usage with Claude Desktop
          1. Locally, cloned repo:
          2. TODO: Added on PyPI: