What Feishu features does Lark rs MCP support?
Currently it supports reading metadata and content from multidimensional tables and creating records in batch.
@hanxuanliang
基本信息
lark rust mcp server
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>"
}
}
}
}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。
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.
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.
Currently it supports reading metadata and content from multidimensional tables and creating records in batch.
Only STDIO mode is supported, suitable for CLI and embedded application scenarios.
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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