Feishu Markdown
F

Feishu Markdown

A tool library that converts Markdown into Feishu document format, including core conversion functions and MCP service integration.
2.5 points
0

What is the Feishu Markdown MCP Server?

The Feishu Markdown MCP Server is an intelligent tool based on the Model Context Protocol (MCP), specifically designed to convert standard Markdown document formats into Feishu (Lark) document formats. It allows AI assistants (such as Claude, ChatGPT, etc.) to directly generate well - structured and beautifully formatted Feishu documents through simple text instructions, including handling complex elements such as images and flowcharts (Mermaid).

How to use the Feishu Markdown MCP Server?

You need to configure the MCP server in your AI assistant client (such as Claude Desktop). After the configuration is completed, you can directly describe the content of the Feishu document you want to the AI assistant. The AI assistant will call this service to convert the Markdown content into the Feishu document structure and return the content that can be directly used in Feishu.

Applicable scenarios

Suitable for various scenarios that require the rapid generation of Feishu documents, for example: • Convert text content such as meeting minutes and project reports into Feishu documents with one click. • Publish Markdown files with code blocks and flowcharts, such as technical documents and product descriptions, to the Feishu knowledge base. • Let the AI assistant directly generate formatted and standardized shared documents in collaborative conversations.

Main features

Markdown to Feishu document conversion
The core function, which accurately maps standard Markdown syntax (headings, lists, code blocks, links, etc.) to the rich - text element structure of Feishu documents.
Image resource processing
Supports handling image links in Markdown to ensure that images can be correctly displayed in the converted Feishu document.
Mermaid flowchart support
Can parse Mermaid code blocks in Markdown and convert them into the chart format supported by Feishu documents or an appropriate alternative representation.
MCP protocol integration
Runs as a standard MCP server and can be discovered and called by any AI assistant client that supports the MCP protocol, providing a unified tool interface.
Advantages
Seamless integration: Deeply integrated with mainstream AI assistants through the MCP protocol, providing a smooth user experience.
Format fidelity: High conversion accuracy, able to better preserve the structure and style intention of the original Markdown document.
Rich functions: Supports advanced elements such as images and flowcharts, meeting the conversion needs of complex documents.
Open - source and transparent: The code is completely open - source, and users can review, modify, or deploy it by themselves as needed.
Limitations
Platform dependence: Mainly targeted at the Feishu/Lark platform, and the generated document format may not be fully compatible with other platforms.
Configuration requirements: Users need to correctly configure the MCP server address in the AI assistant client, which has a certain learning curve.
Real - time performance: The conversion service requires network requests, and the generation speed depends on the network and service response time.
Style limitations: The rich - text styles of Feishu documents may not fully correspond to some Markdown extended syntax or custom CSS.

How to use

Environment preparation
Ensure that you have installed and configured an AI assistant client that supports MCP, such as Claude Desktop.
Configure the MCP server
In the configuration file of your AI assistant client, add the configuration information of the Feishu Markdown MCP server, including the server startup command or address.
Start the AI assistant
Restart your AI assistant client to make it load and connect to the Feishu Markdown MCP server.
Start using
In the dialogue interface of the AI assistant, directly put forward the requirement to generate or convert a Feishu document. For example: "Please organize the following content into a weekly report in Feishu format." The AI assistant will call this service to process your request.

Usage cases

Case 1: Generate minutes of a project kick - off meeting
The user dictated the discussion points of the project kick - off meeting and hoped to generate a formally formatted Feishu document for sharing and archiving.
Case 2: Convert a technical solution document
The user has a technical architecture description written in Markdown, which contains code snippets and a system flowchart drawn by Mermaid, and needs to publish it to the Feishu knowledge base.

Frequently Asked Questions

Do I need to have a Feishu account to use this service?
Which Markdown syntax is supported?
Can the converted document be directly edited in Feishu?
Is this service free?
What if the conversion result is not ideal?

Related resources

GitHub project homepage
Get the complete source code, detailed technical documentation, and the latest update information.
Model Context Protocol (MCP) official documentation
Understand the working principle of the MCP protocol and how to configure the MCP server.
Feishu Open Platform documentation
Understand the rich - text format and open capabilities of Feishu documents.
MIT license
The open - source license used by this project.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
7.1K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
4.5K
4.5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.3K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
6.5K
5 points
R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
9.4K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
10.8K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.5K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.4K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.4K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
34.3K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.6K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.1K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.4K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.0K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
96.8K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase