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- feishu-mcp
Feishu Mcp
What is Feishu Mcp
feishu-mcp is an implementation of the Model Context Protocol (MCP) service for Feishu (Lark) applications, enabling AI large models to interact with the Feishu API through tool calls, primarily supporting multidimensional table operations.
Use cases
Use cases for feishu-mcp include creating new records in Feishu multidimensional tables, updating existing records, searching for specific records based on criteria, deleting records, and creating new Feishu multidimensional table applications.
How to use
To use feishu-mcp, install the dependencies using ‘npm install’, build the project with ‘npm run build’, and run the server using ‘node dist/index.js --config “{"appId":"xxx","appSecret":"xxx"}”’ for standard input or ‘node dist/index.js --sse --config “{"appId":"xxx","appSecret":"xxx"}”’ for SSE communication.
Key features
Key features include support for multidimensional table operations in Feishu, tools for creating, updating, searching, and deleting records, and the use of HTTP+SSE communication.
Where to use
feishu-mcp can be used in various fields that require data management and manipulation within Feishu’s multidimensional tables, such as project management, data analysis, and collaborative applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Feishu Mcp
feishu-mcp is an implementation of the Model Context Protocol (MCP) service for Feishu (Lark) applications, enabling AI large models to interact with the Feishu API through tool calls, primarily supporting multidimensional table operations.
Use cases
Use cases for feishu-mcp include creating new records in Feishu multidimensional tables, updating existing records, searching for specific records based on criteria, deleting records, and creating new Feishu multidimensional table applications.
How to use
To use feishu-mcp, install the dependencies using ‘npm install’, build the project with ‘npm run build’, and run the server using ‘node dist/index.js --config “{"appId":"xxx","appSecret":"xxx"}”’ for standard input or ‘node dist/index.js --sse --config “{"appId":"xxx","appSecret":"xxx"}”’ for SSE communication.
Key features
Key features include support for multidimensional table operations in Feishu, tools for creating, updating, searching, and deleting records, and the use of HTTP+SSE communication.
Where to use
feishu-mcp can be used in various fields that require data management and manipulation within Feishu’s multidimensional tables, such as project management, data analysis, and collaborative applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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
- 基于Model Context Protocol (MCP) TypeScript SDK
- 提供飞书多维表格操作工具
- 支持HTTP+SSE通信
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
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










