Yuque-MCP-ServerYuque mcp server

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Reviewed by Daniel Nikulshyn·Updated July 2026

Overview

The Yuque MCP Server is a Model-Context-Protocol (MCP) server that integrates with Yuque's API to provide a collection of tools for AI models to interact with Yuque's knowledge library platform. The server offers various features, including user and document management, searching Yuque's content, and retrieving knowledge library information and statistical data. It uses the Yuque OpenAPI and supports deployment through Docker or via Smithery. The server provides tools such as getting the current user's information, listing a user's documents and repositories, getting a specific repository's documents, creating, updating, and deleting documents, and searching for content within Yuque. It also enables integration with AI models that support Model-Context-Protocol, allowing them to interact with Yuque's data using the registered tools. The server can be configured through environment variables or a .env file, and supports multiple users or environments. Additionally, the server provides team statistical analysis tools, including getting team, member, repository, and document statistics. The server is built using Node.js 18+ and follows the MIT License.

Key features

User and document management (get_current_user, get_user_docs, get_user_repos, get_repo_docs, get_doc)
Document creation, update, and deletion (create_doc, update_doc, delete_doc)
Search functionality (search)
Team statistics and analytics (get_group_statistics, get_group_member_statistics, get_group_book_statistics, get_group_doc_statistics)

Pricing

Model: Free
Category: MCP Servers
Rating: No reviews yet

Use cases

AI-powered knowledge base management

Integrate Yuque-MCP-Server with AI models to automate knowledge base management tasks, such as document creation, updating, and deletion.

Content analysis and search

Use Yuque-MCP-Server to enable AI models to search for specific content within Yuque's knowledge base and analyze document statistics.

Pros & Cons

Pros

Enables AI models to interact with Yuque's knowledge base platform
Supports multiple document formats (Markdown, HTML, Lake)
Provides detailed document information, including content, modification history, and permission settings
Offers team statistics and analytics, including member, document, and knowledge base metrics

Cons

Requires a Yuque API token for authentication
Limited to Node.js 18+ environments
May require additional configuration for multi-user or testing environments

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Q&A

What are the main limitations when using this server?

It requires a Yuque API token for authentication, works only in Node.js 18+ environments, and may need extra configuration for multi‑user or testing setups.

Asked by Celia Ramirez · Mar 12, 2026

How do I deploy Yuque-MCP-Server in my environment?

You can deploy it via Docker or using Smithery, making it easy to run in containers or as a serverless function in Node.js 18+ environments.

Asked by Dmitri Volkov · Feb 22, 2026

What integration methods does Yuque-MCP-Server support for AI models?

The server follows the Model-Context-Protocol, letting any MCP‑compatible AI model call tools like get_user_docs, create_doc, or search to interact directly with Yuque's knowledge base.

Asked by Vincenzo Greco · Jan 12, 2026