Feishu MCP Server

Example Use Cases

• 1

  Read and traverse Feishu folder/document hierarchies to find relevant documents and context.

• 2

  Retrieve structured document blocks, images, whiteboard elements and convert them into contextual inputs for generation or analysis.

• 3

  Create, batch-edit, or delete document blocks (including tables, mermaid diagrams and formulas) to automate content generation and document updates.

Description

This project implements a Model Context Protocol (MCP) server enabling AI-driven coding tools (Cursor, Windsurf, Cline, etc.) to read, understand and manipulate Feishu documents in a structured way. It provides tools for folder listing, document/block retrieval, batch block creation and editing, search, image and whiteboard content retrieval, table creation, mermaid/diagram support, and image upload. It supports both tenant and user token workflows and can be run locally or published (npm/Smithery) to integrate with agent platforms, improving automation and contextual understanding of Feishu documents.