CrewAI Enterprise MCP Server provides a bridge to deployed CrewAI workflows, enabling AI assistants to kickoff crews and monitor their execution status. The server exposes two main tools: kickoff_crew for starting new crew tasks with custom inputs, and get_crew_status for checking the progress of running crews. Built with FastMCP, it communicates with the CrewAI Enterprise backend using environment variables for authentication and server URL configuration. This implementation is particularly valuable for workflows that benefit from CrewAI's agent collaboration capabilities without leaving the Claude Desktop interface, allowing seamless delegation of complex tasks to specialized agent teams.
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Highlight AIStart the deployed crew workflow.
Retrieve the current status of the deployed crew.
