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feishu-markdown

MCP.Pizza Chef: huandu

This server converts your Markdown files into Feishu (Lark) document format, supporting images and flowcharts like Mermaid diagrams. It acts as a backend plugin for AI assistants that use the Model Context Protocol, enabling you to prepare rich Feishu documents from Markdown content. Setup requires some developer steps, and it can be integrated with MCP-compatible apps and AI models such as ChatGPT, Claude, or Gemini.

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Use This MCP server To

Convert Markdown notes into Feishu document format Include images and Mermaid diagrams in Feishu documents Prepare Markdown content for collaboration in Feishu Automate creation of Feishu documents from Markdown files Integrate Markdown to Feishu conversion in AI workflows

README

Feishu Markdown

Build license

本项目是一个单仓库（monorepo），用于将 Markdown 转换为飞书 / Lark 文档格式，并提供一个 MCP 服务以便与 Model Context Protocol 集成。

主要 package：

  • feishu-markdown：核心库，将 Markdown 转换为飞书文档结构，支持图片、流程图（Mermaid）等处理。
  • feishu-markdown-mcp：基于 feishu-markdown 的 MCP 服务，可作为模型上下文协议（Model Context Protocol）的后端插件使用。

快速开始

  1. 安装依赖：
pnpm install
  1. 构建所有包：
pnpm build
  1. 在开发中运行某个包（示例）：
pnpm --filter feishu-markdown dev

开发

  • 运行全部测试：pnpm test
  • 代码风格与类型检查：pnpm lint / pnpm typecheck

发布

仓库提供了 GitHub Actions 工作流用于自动发布。发布到 npm 公共仓库需要在仓库 Secrets 中配置 NPM_TOKEN（用于 pnpm publish）。

许可证

本项目使用 MIT 许可证，详见项目根目录的 LICENSE 文件。

更多信息请查看各子包的 package.json 与 README.md。

feishu-markdown FAQ

Can I use this to convert Markdown into Feishu documents?
Yes — this server converts Markdown files into Feishu/Lark document format, including support for images and diagrams.
Do I need a Feishu account or API key to use this?
The project README does not specify needing a Feishu account or API key, but since it converts Markdown to Feishu document format, you might need Feishu to view or further use the documents.
Which apps or clients support this MCP server?
The README does not specify supported clients; it is intended as a backend service for MCP-compatible apps.
How difficult is it to set up?
Setup requires developer skills, including installing dependencies and building from source using pnpm.
Can I use this with popular AI assistants like ChatGPT or Claude?
This MCP server is designed to integrate with MCP clients that can connect to various AI models including ChatGPT, Claude, and Gemini.