Used for configuration management, allowing storage of Feishu application credentials and other environment variables securely in a .env file
Used as the package manager for installing dependencies and running the MCP server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@lark-tools-mcp read the latest project report from the shared Lark document"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP server provides Feishu related operations to AI encoding agents such as cursor
飞书MCP插件
通过打通飞书与cursor，向LLM提供读取文档、发送消息、合同审批、数据处理.....
可能会有意想不到的组合方式
MCP服务运行基于token，需要创建一个应用并做发布 https://open.feishu.cn/document/server-docs/api-call-guide/terminolog
然后对应用进行文档授权，这一步较为繁琐，参考文档，选择合适的方案：https://open.feishu.cn/document/uAjLw4CM/ugTN1YjL4UTN24CO1UjN/trouble-shooting/how-to-add-permissions-to-app
Related MCP server: feishu_mcp_server
拷贝 .env.example 为 .env 文件
修改 .env 文件中的 FEISHU_APP_ID 为飞书自建应用的 app_id
修改 .env 文件中的 FEISHU_APP_SECRET 为飞书自建应用的 app_secret
运行 MCP Server
yarn install
yarn start
5. Add MCP to cursor
6. Agent 模式下，输入飞书文档链接，让AI帮你阅读与整理内容
获取飞书文档信息（纯文本）
This server cannot be deployed
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