CrewAI MCP Server

What is CrewAI MCP Server?

CrewAI MCP Server connects CrewAI with Claude through the Model Context Protocol, allowing users to manage CrewAI agents, tasks, and crews while enabling bidirectional communication, document analysis, and execution of complex multi-agent workflows.

How to use CrewAI MCP Server?

Install via pip install mcp-server-crewai or directly from GitHub. For use with Claude Desktop, add an entry to claude_desktop_config.json with the command mcp-server-crewai. For development, clone the repository and install with dev dependencies using pip install -e ".[dev]".

Key features of CrewAI MCP Server

• CrewAI agent, task, and crew creation and management
• Bidirectional communication between Claude and CrewAI
• Document analysis and insight generation
• Execution of complex multi-agent workflows

Use cases of CrewAI MCP Server

• Automating document analysis with AI agents
• Orchestrating multi-step tasks via Claude and CrewAI
• Building complex workflows involving multiple specialized agents

FAQ from CrewAI MCP Server

How is the CrewAI MCP Server installed?

Install via pip: pip install mcp-server-crewai. You can also install directly from GitHub using pip install git+https://github.com/rafaelcc14g/mcp-server-crewai.git.

How do I configure the server for Claude Desktop?

Add the following entry to your claude_desktop_config.json file: {"mcpServers": {"crewai": {"command": "mcp-server-crewai", "args": []}}}.

What can the CrewAI MCP Server do?

It manages CrewAI agents, tasks, and crews, enables bidirectional communication with Claude, performs document analysis and insight generation, and runs complex multi-agent workflows.