Feishu Markdown

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This project streamlines the process of converting Markdown into a structured Feishu/Lark document format. It encompasses a core TypeScript library that intelligently processes Markdown, including advanced elements like images and Mermaid flowcharts, and an associated MCP service. The MCP service acts as a powerful backend plugin for the Model Context Protocol, facilitating dynamic context exchange for AI models and other protocol-compliant applications.

Características Principales

• Provides an MCP service for Model Context Protocol integration
• Supports image embedding in Feishu documents
• Converts Markdown to Feishu/Lark document structure
• 0 GitHub stars
• Renders Mermaid flowcharts within Feishu
• Developed as a TypeScript-based monorepo

Casos de Uso

• Integrate Markdown-formatted context into applications utilizing the Model Context Protocol
• Publish technical documentation, including diagrams, directly to Feishu
• Automate the creation of Feishu documents from Markdown sources