YuQue MCP
An MCP server for interacting with the YuQue knowledge base, enabling AI assistants to perform operations on documents and information.
语雀 MCP 服务器
基于 go-zero MCP 组件开发的语雀 Model Context Protocol 服务器,为 AI 助手提供语雀知识库操作能力。
功能特性
- 🔍 获取文档: 根据知识库ID和文档ID获取文档详细内容
- 📝 创建文档: 在指定知识库中创建新文档
- ✏️ 更新文档: 修改文档标题、内容等信息
- 🔎 搜索文档: 在语雀中搜索相关文档
- 👤 用户信息: 获取当前用户详细信息
快速开始
1. 设置环境变量
export YUQUE_TOKEN="your_yuque_token_here"
2. 安装依赖
go mod tidy
3. 启动服务器
go run cmd/server/main.go -f config.yaml
服务器将在 http://localhost:8080 启动。
可用工具
yuque_get_current_user
获取当前语雀用户信息。
yuque_get_document
获取指定文档内容。
book_id: 知识库ID或路径doc_id: 文档ID或slug
yuque_create_document
创建新文档。
book_id: 知识库ID或路径title: 文档标题body: 文档内容(可选)format: 文档格式,默认markdownpublic: 公开设置,默认0(私密)
yuque_update_document
更新文档内容。
book_id: 知识库ID或路径doc_id: 文档ID或slugtitle: 新标题(可选)body: 新内容(可选)format: 文档格式(可选)public: 公开设置(可选)
yuque_search_documents
搜索文档。
query: 搜索关键词
配置说明
配置文件 config.yaml:
name: yuque-mcp-server
host: localhost
port: 8080
mcp:
name: yuque-mcp-server
messageTimeout: 30s
cors:
- http://localhost:3000
yuque:
baseUrl: "https://www.yuque.com/api/v2"
# token 通过环境变量 YUQUE_TOKEN 设置
Cursor IDE 集成配置
在 Cursor IDE 中使用此 MCP 服务器,需要在设置中添加以下配置:
{
"mcpServers": {
"yuque": {
"command": "go",
"args": ["run", "cmd/server/main.go", "-f", "config.yaml"],
"cwd": "/path/to/YuQueMCP",
"env": {
"YUQUE_TOKEN": "your_yuque_token_here"
}
}
}
}
配置步骤:
- 打开 Cursor IDE 设置
- 搜索 "MCP" 或 "Model Context Protocol"
- 添加上述 JSON 配置
- 将
cwd路径修改为项目实际路径 - 将
YUQUE_TOKEN替换为你的语雀 API Token - 重启 Cursor IDE
项目结构
├── cmd/server/ # 服务器启动入口
├── internal/
│ ├── config/ # 配置相关
│ ├── server/ # MCP服务器逻辑
│ │ └── tools/ # 工具实现
│ └── yuque/ # 语雀API客户端
├── config.yaml # 配置文件
└── go.mod # Go模块文件
Related Servers
Outline
Interact with Outline, the open-source knowledge base and wiki, directly through your AI assistant.
Taiga MCP Bridge
Interact with the Taiga project management platform through an MCP bridge, allowing AI tools to manage project resources.
MCP Task Orchestrator
A Kotlin MCP server for comprehensive task management, allowing AI assistants to interact with project data.
Obsidian
Interact with Obsidian vaults to read, create, edit, and manage notes and tags.
MCP Desktop Automation
Automate desktop actions like mouse control, keyboard input, and taking screenshots.
Bakaláři
Access data from the Bakaláři school system, including schedules, absences, and grades, through a standardized API.
DaVinci Resolve
Enables AI assistants to interact with DaVinci Resolve Studio for advanced control over video editing, color grading, and audio.
Zephyr Scale
Manage Zephyr Scale test cases through the Atlassian REST API.
Unified MCP Suite
A collection of MCP servers for media tools, information retrieval, PDF creation, and presentation generation.
Strateegia
Integrates with the Strateegia API, allowing AI assistants to access and interact with Strateegia projects.