Lark rs MCP Server

@hanxuanliang

代码仓库

基本信息

分类

沟通协作

许可证

MIT

传输方式

stdio

作者

hanxuanliang

关于 Lark rs MCP Server

lark rust mcp server

#larkrs#mcp#feishu-api

Lark rs MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "larkrs-mcp": {
      "command": "/Users/code/mcp/larkrs-mcp/target/debug/larkrs-mcp",
      "env": {
        "FEISHU_APP_ID": "<your-app-id>",
        "FEISHU_APP_SECRET": "<your-app-secret>"
      }
    }
  }
}

Lark rs MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Lark rs MCP?

Lark rs MCP is a server that implements the Model Context Protocol (MCP) to integrate with Feishu (Lark) APIs. It enables AI models to interact with Feishu services, specifically reading metadata and content from multidimensional tables and batch-creating records. It is designed for developers and AI applications that need to access Feishu data through the MCP standard.

How to use Lark rs MCP?

Clone the repository, then compile with cargo build. Point the MCP client's command to the compiled binary path. At runtime, set environment variables following the .env.example format for Feishu authentication. Currently only STDIO mode is supported, and the server has been tested with the Chatwise client.

Key features of Lark rs MCP

Reads metadata and content from Feishu multidimensional tables
Supports batch creation of records in multidimensional tables
Communicates via STDIO (standard input/output) only
Written in Rust for performance and reliability

Use cases of Lark rs MCP

Connect AI assistants to Feishu table data for real‑time queries
Automate bulk record creation in Feishu from AI‑driven workflows
Enable chatbots to retrieve and display structured Feishu content

常见问题

What Feishu features does Lark rs MCP support?

Currently it supports reading metadata and content from multidimensional tables and creating records in batch.

What transport mode does Lark rs MCP use?

Only STDIO mode is supported, suitable for CLI and embedded application scenarios.

How do I configure and run Lark rs MCP?

Clone the repository, compile with `cargo build`, set the binary path in your MCP client, and provide environment variables for Feishu authentication as shown in `.env.example`.

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