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CrewAI MCP Server

@rafaelcc14g

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

rafaelcc14g

关于 CrewAI MCP Server

MCP 서버로 CrewAI와 Claude를 연결하는 통합 서비스

#mcp-server#crewai#integration-service

CrewAI MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

CrewAI MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

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`.

2

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": []}}}`.

3

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.

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