Lark rs MCP Server logo

Lark rs MCP Server

by hanxuanliang

The Lark rs MCP server is an MCP-based service that provides Feishu API integration, enabling AI models to easily interact with Feishu services. It currently supports STDIO mode.

View on GitHub

Last updated: N/A

What is Lark rs MCP Server?

The Lark rs MCP server is a service designed to integrate AI models with Feishu (Lark) services through the MCP (Model Communication Protocol). It allows AI models to interact with Feishu APIs.

How to use Lark rs MCP Server?

  1. Clone the repository. 2. Build the project using cargo build. 3. Copy the path of the compiled artifact into the MCP client command. 4. Configure environment variables according to the .env.example format for Feishu identity verification.

Key features of Lark rs MCP Server

  • Multi-dimensional Table Support (read metadata and content, batch create records)

  • STDIO mode support

Use cases of Lark rs MCP Server

  • Integrating AI models with Feishu multi-dimensional tables

  • Automating tasks within Feishu using AI

  • Building AI-powered applications that leverage Feishu data

FAQ from Lark rs MCP Server

What is MCP?

MCP stands for Model Communication Protocol, a standard for communication between AI models and other services.

What is Feishu?

Feishu (also known as Lark) is a collaboration platform that offers messaging, meetings, documents, and other productivity tools.

What is STDIO mode?

STDIO mode communicates through standard input/output, suitable for CLI environments and integration into other applications.

How do I configure the environment variables?

Refer to the .env.example file for the required environment variables and their format.

Where can I find the MCP client?

The README mentions integration with 'chatwise', implying it might be related to the MCP client. More information might be needed from chatwise documentation.