mcpField
F
Feishu Mcp

Feishu Mcp

Local
github.com/DarkNoahCommunication7Updated 82w ago

About Feishu Mcp

Feishu Mcp is an MCP server for using Feishu APIs, with a focus on Bitable operations. It is intended for AI applications that need to create, query, and manage Bitable records and tables.

Key features

  1. 01Create, update, and delete records
  2. 02Search Bitable records
  3. 03List table fields
  4. 04Create Bitable apps and tables
  5. 05HTTP and SSE communication

Use cases

  1. 01Add or edit Bitable records
  2. 02Search records by conditions
  3. 03Create a Bitable app or table

MCP support

The server exposes Feishu Bitable record, field, app, and table operations as tools for MCP clients. It communicates over HTTP and SSE.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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

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

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.