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enterprise-mcp-server

CrewAI企业级MCP服务器实现,用于部署和管理AI工作流

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README

🚀 带CrewAI Enterprise MCP服务器的船员AI企业版

本项目是一个模型上下文协议(MCP)服务器的实现,它能提供部署好的CrewAI工作流。借助此服务器,你可以启动已部署的船员并检查其状态,进而获取船员的工作结果。

✨ 主要特性

工具

  • kickoff_crew
  • get_crew_status

环境变量

需从app.crewai.com检索以下环境变量:

  • MCP_CREWAI_ENTERPRISE_SERVER_URL
  • MCP_CREWAI_ENTERPRISE_BEARER_TOKEN

🚀 快速开始

使用Claude桌面

Claude桌面与CrewAI Enterprise MCP服务器 Claude桌面与CrewAI Enterprise MCP服务器 Claude桌面与CrewAI Enterprise MCP服务器

若要将此MCP服务器与Claude桌面配合使用,请按以下步骤操作:

  1. 打开Claude桌面。
  2. 转到设置 > 开发者设置。
  3. 添加新的MCP服务器,配置如下所示。

本地克隆的仓库

需在本地安装mcpmcp[cli]

{
  "mcpServers": {
    "crewai_enterprise_server": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "<克隆仓库的文件路径>",
        "/crewai_enterprise_server.py"
      ],
      "env": {
        "MCP_CREWAI_ENTERPRISE_SERVER_URL": "<>",
        "MCP_CREWAI_ENTERPRISE_BEARER_TOKEN": "<>"
      }
    }
  }
}

待办事项:添加到PyPI

后续计划将相关内容添加到PyPI。

help

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client