About Lark rs MCP
Lark rs MCP is a Rust-based MCP server for accessing Feishu APIs from AI applications. It focuses on reading bitable metadata and content and creating records in batches, using STDIO transport only.
Key features
- 01Read bitable metadata
- 02Read bitable content
- 03Create records in batches
- 04STDIO transport
Use cases
- 01Inspecting bitable structure in AI applications
- 02Providing bitable content to AI models
- 03Adding multiple bitable records at once
MCP support
The server exposes Feishu API operations to MCP clients, including bitable reading and batch record creation. It currently supports STDIO only.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMELark rs MCP
飞书MCP服务器是一个基于MCP的服务，提供飞书API集成，使AI模型能够轻松与飞书服务交互。
功能特点
- 多维表格: 读取多维表格元数据和内容, 提供批量创建记录的功能
- 多模式支持: 目前仅支持STDIO模式
- STDIO：通过标准输入/输出通信，适用于CLI环境和集成到其他应用
配置
目前仅支持验证chatwise中的运行情况
首先将本项目克隆到本地:
cd /path/to/your/project
git clone https://github.com/your-repo/larkrs-mcp.git
然后使用 cargo build 编译项目:
cd larkrs-mcp
cargo build
将编译产物的路径直接复制到MCP client的命令中, 例如:
在运行时，按照 .env.example 的格式书写你的环境变量，用于验证飞书身份。
Comments
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.