语雀 MCP 服务器
by MCP-Mirror
A Model-Context-Protocol (MCP) server for integrating with the Yuque API. It allows AI models to interact with Yuque knowledge base platform.
Last updated: N/A
What is 语雀 MCP 服务器?
This server provides an MCP tool for interacting with the Yuque knowledge base platform, allowing AI models to retrieve user and document information, create, read, update, and delete documents, search Yuque content, get knowledge base information, and obtain statistics and analytics.
How to use 语雀 MCP 服务器?
To use the server, clone the repository, install dependencies, configure the .env file with your Yuque API token, and run the server in either development or production mode. Docker deployment is also supported. Once running, connect to the server from a compatible client and use the registered tools to interact with Yuque data.
Key features of 语雀 MCP 服务器
User and document management (CRUD operations)
Team statistics and analysis
Docker support for easy deployment
SSE endpoint with query parameter overrides for dynamic configuration
Use cases of 语雀 MCP 服务器
Integrating Yuque knowledge base with AI models
Automating document management tasks
Analyzing team knowledge base usage
Building custom applications that interact with Yuque
FAQ from 语雀 MCP 服务器
What is the purpose of this server?
What is the purpose of this server?
This server acts as a bridge between AI models and the Yuque knowledge base platform, enabling them to interact with Yuque data through a defined protocol.
What is MCP?
What is MCP?
MCP stands for Model-Context-Protocol. It's a way for AI models to interact with external systems through defined tools and a standardized communication protocol.
How do I get a Yuque API token?
How do I get a Yuque API token?
You need a Yuque account. The documentation doesn't specify how to obtain the token, but it likely involves creating an application or integration within your Yuque account settings.
Can I use this server with any AI model?
Can I use this server with any AI model?
No, the AI model needs to support the Model-Context-Protocol and be able to communicate with the server using the defined protocol.
What are the different document formats supported?
What are the different document formats supported?
The server supports Markdown, HTML, and Lake document formats for creating and updating documents.