feishu-mcp-server
Uses TypeScript SDK for Model Context Protocol implementation, enabling structured AI agent interactions with the Feishu/Lark API
Click on "Install 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., "@feishu-mcp-serversearch for overdue tasks in the project tracker table"
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.
飞书 MCP 服务器
这是一个为飞书(Feishu/Lark)应用提供Model Context Protocol (MCP) 服务的实现,允许AI大模型通过工具调用与飞书API进行交互,目前主要支持多维表格操作。
功能特性
提供飞书多维表格操作工具
支持HTTP+SSE通信
Related MCP server: Feishu MCP Server
已实现工具
create_record
在飞书多维表格中创建一条新记录
update_record
在飞书多维表格中更新一条记录
list_fiedls
获取多维表格数据表中的的所有字段
search_records
在多维表格中搜索符合条件的记录
delete_record
删除多维表格中的一条记录
create_bitable_app
创建一个新的飞书多维表格应用
create_table
创建飞书多维表格中的一个新数据表
Development
# Install dependencies
npm install
# Build
npm run build
# Dev
npm run dev
# run mcp stdio
node dist/index.js --config "{\"appId\":\"xxx\",\"appSecret\":\"xxx\"}"
# run mcp sse
node dist/index.js --sse --config "{\"appId\":\"xxx\",\"appSecret\":\"xxx\"}"
飞书API参考
许可证
MIT
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