📌Overview

Purpose: To provide a platform for executing and monitoring deployed CrewAI workflows via a Model Context Protocol (MCP) server.

Overview: The CrewAI Enterprise MCP Server facilitates the deployment and management of CrewAI workflows. It allows users to initiate workflows and check their status, enhancing the overall efficiency and monitoring capabilities of deployed crew operations.

Key Features:

• Kickoff Crew: This tool initiates the execution of deployed CrewAI workflows, enabling users to start their processes efficiently.

• Get Crew Status: This feature allows users to retrieve the current status of their workflows, providing visibility into operations for better management and oversight.

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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 inspecting the status to get the results of your crew.

Tools

• kickoff_crew
• get_crew_status

Environment 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.

Example configuration:

{
  "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

• Add to PyPI