Feishu
Enables AI large language models to interact with Feishu (Lark) APIs, primarily supporting multidimensional table operations through tool calls.
About
This tool provides a Model Context Protocol (MCP) server implementation for Feishu (Lark) applications, facilitating interaction between AI large language models and Feishu APIs. It leverages the Model Context Protocol (MCP) TypeScript SDK and currently focuses on supporting multidimensional table operations. It offers features such as creating, updating, searching, and deleting records, as well as creating new Feishu multidimensional table applications and tables.
Key Features
- 1 GitHub stars
- Provides tools for creating, updating, and searching records in Feishu Bitable
- Allows for the creation of new Feishu Bitable applications and tables
- Supports HTTP+SSE communication
- Based on Model Context Protocol (MCP) TypeScript SDK
- Enables AI models to interact with Feishu APIs
Use Cases
- Integrating AI-powered search and filtering capabilities into Feishu workflows
- Programmatically creating and managing Feishu Bitable applications and tables
- Automating data entry and updates in Feishu multidimensional tables using AI
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