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`.
@rafaelcc14g
基本情報
MCP 서버로 CrewAI와 Claude를 연결하는 통합 서비스
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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.
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]".
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`.
Add the following entry to your `claude_desktop_config.json` file: `{"mcpServers": {"crewai": {"command": "mcp-server-crewai", "args": []}}}`.
It manages CrewAI agents, tasks, and crews, enables bidirectional communication with Claude, performs document analysis and insight generation, and runs complex multi-agent workflows.
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