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Other integrations · MCP server

Yuque ai MCP: MCP server, setup and security

Yuque ai MCP is an open-source MCP server that lets an AI agent manage Yuque documents knowledge bases notes boards users and groups. Its repository has 7 stars and its last commit is from October 16, 2026 and it is licensed under MIT.

Score
53/100
Adoption (stars) 8/40
Maintenance 30/30
Framework (licence, registry, official) 15/30
Actively maintained

What Yuque ai MCP does

According to its repository: “Full-featured Yuque (语雀) MCP server with 62 fine-grained tools across 13 domains — documents, knowledge bases, TOC, search, statistics, notes, recycle bin, upload, boards, book stacks, web API, user and group management. Dual stdio + HTTP transport.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Yuque ai MCP is listed under Other integrations, a category of 194 servers in the directory, where it ranks #178 by stars.

Topics declared by the repository: api, chinese, openclaw, typescript, yuque.

Installing and connecting Yuque ai MCP

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Yuque ai MCP. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on May 10, 2026, the yehuoshun/yuque-ai-mcp repository has 7 stars and 1 forks, with 0 open issues. It has more stars than 19% of the servers in the directory. It received changes this month.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Server everythingServer everything : 91.5K91.5KCompiler ExplorerCompiler Explorer : 19.1K19.1KMobilerunMobilerun : 9.8K9.8KLicensed House PaintersLicensed House Painters : 7.4K7.4KYouTubeYouTube : 5.8K5.8KDraw.ioDraw.io : 5.7K5.7KFluxDownFluxDown : 5K5KMCP obsidianMCP obsidian : 4.5K4.5KYuque ai MCPYuque ai MCP : 77
GitHub stars of the most followed servers in the category (log scale); Yuque ai MCP in orange. Checked October 25, 2026.

Verdict

Yuque ai MCP is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Permissive licence (MIT)

Limitations

  • Few visible users
  • Install from source

Frequently asked questions

How do I install Yuque ai MCP?

No package is declared in the MCP registry: clone the yehuoshun/yuque-ai-mcp repository, follow its README, then declare the start command in your client's MCP configuration.

Is Yuque ai MCP free?

The code is published under the MIT licence and can be used free of charge.

Is Yuque ai MCP safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by yehuoshun on GitHub. Check who maintains it before giving it access.

What are the alternatives to Yuque ai MCP?

In the same category: Azure MCP Server, Draw.io, Compiler Explorer, and Mobilerun. Azure MCP Server and Draw.io score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score