Henryhaoson Yuque MCP Server
H

Henryhaoson Yuque MCP Server

The Yuque MCP Server is an integration tool based on the Model-Context-Protocol, providing the ability to interact with the Yuque API and supporting functions such as document management, knowledge base operation, and team data analysis.
2 points
12.2K

What is the Yuque MCP Server?

The Yuque MCP Server is an intelligent assistant service that enables AI assistants to directly interact with the Yuque knowledge base platform through the standardized Model-Context-Protocol (MCP) protocol. You can think of it as an intelligent secretary that can automatically manage your documents and knowledge bases on Yuque.

How to use the Yuque MCP Server?

It's very simple to use: 1) Install and run the server. 2) Connect your AI assistant. 3) Manage Yuque content through natural language instructions. The server supports both HTTP and command-line usage modes.

Applicable Scenarios

Suitable for teams that need to manage Yuque documents in batches, users who want to automatically organize knowledge bases through AI, and developers who want to intelligently integrate Yuque with other systems.

Main Features

User and Document Management
Get user information and document lists, and support full lifecycle management of document creation, deletion, modification, and query.
Team Data Analysis
Get statistical indicators such as team member activity and knowledge base usage to help teams optimize knowledge management.
Intelligent Search
Support searching for content in Yuque by multiple conditions to quickly locate the required information.
Multi-Format Support
Support the creation and update of documents in Markdown, HTML, and Yuque Lake formats.
Advantages
Seamlessly integrate with the Yuque platform, expanding the capabilities of AI assistants
Support multiple deployment methods, including local, server, and Docker containers
Provide detailed team data analysis to help optimize knowledge management
Flexible configuration method, supporting dynamic API token settings
Limitations
Basic command-line operation knowledge is required for deployment
Some advanced features require Yuque Enterprise Edition support
AI assistants need to be adapted to the MCP protocol to fully发挥 their role

How to Use

Installation Preparation
Ensure that the Node.js 18+ environment is installed and obtain the Yuque API access token.
Project Setup
Clone the repository, install dependencies, and configure environment variables.
Run the Server
Select the development or production mode to start the service.
Connect the AI Assistant
Connect the AI assistant that supports the MCP protocol to the server endpoint.

Usage Examples

Automatically Archive Expired Documents
Let the AI assistant regularly check and archive documents that have not been updated for 6 months.
Team Knowledge Base Health Check
Get an analysis of the usage of the team knowledge base.
Batch Document Update
Update the metadata or content of a batch of documents uniformly.

Frequently Asked Questions

How to obtain the Yuque API token?
Which document formats are supported?
Is data updated in real-time?
Is programming knowledge required to use it?
Does it support team collaboration features?

Related Resources

Yuque Open API Documentation
Official API interface specification
MCP Protocol Specification
Model-Context-Protocol technical standard
Example Project Repository
Source code of this project
Docker Deployment Guide
Docker official getting started tutorial

Installation

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

Alternatives

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
8.7K
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
8.4K
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
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
8.6K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.5K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.6K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
7.7K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
8.3K
4.5 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
18.9K
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
32.2K
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
21.7K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
63.1K
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#
27.0K
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
57.6K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
42.2K
4.8 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
19.9K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase