Library Docs MCP Server
A documentation search server based on the MCP protocol that can retrieve the latest documentation of popular libraries such as Langchain in real-time, solving the problem of outdated knowledge in LLM models.
rating : 2.5 points
downloads : 20
What is the Library Docs MCP Server?
This is a documentation query server based on the MCP (Model Context Protocol). It is specifically designed to search for and retrieve the latest documentation of popular AI libraries. It conducts site-specific searches through the Serper API and parses the returned documentation content using BeautifulSoup.How to use the Library Docs MCP Server?
Users can search for library documentation through natural language queries, and the server will return the latest official documentation content. It is particularly suitable for integration with LLM platforms such as Claude Desktop.Use cases
When the knowledge base of the AI model you are using (such as Claude) has a cut-off date limitation, this server can provide the latest library documentation references. It is especially suitable for developers to obtain accurate API usage and examples when dealing with new versions of libraries.Main features
Multi-library documentation supportSupports documentation search for popular libraries such as Langchain, Llama-Index, MCP, and OpenAI, and can be easily extended to support more libraries.
Real-time documentation retrievalRetrieves the latest documentation directly from official sources through the Serper API to ensure information timeliness.
Natural language queryUsers can describe questions in daily language, and the system will automatically match relevant documentation content.
Advantages and limitations
Advantages
Solve the knowledge cut-off date limitation problem of LLM models
Provide accurate official documentation references
Support multiple popular AI development libraries
Simple and intuitive query method
Limitations
Currently, the number of supported libraries is limited
Relies on a third-party API (Serper) for searching
Network latency may affect response speed
How to use
Configure Claude Desktop
Add the MCP server configuration to claude_desktop_config.json
Start the server
Ensure that the Python environment and all dependencies are installed, and then run the server script
Send a query
Send a natural language query through the integrated LLM interface, and the system will automatically retrieve and return relevant documentation
Usage examples
Solve version compatibility issuesWhen the version of the library you are using does not match the built-in knowledge of the LLM model, you can obtain the correct API usage through this service.
Explore new featuresQuery the latest features of the library, even if the knowledge base of the LLM model does not include this information yet.
Frequently Asked Questions
Why is this MCP server needed?
How to add support for new libraries?
What if the query results are inaccurate?
Related resources
Official documentation of the MCP protocol
Complete technical specifications and usage guide for the Model Context Protocol
Serper API documentation
Official documentation of the search API used by this service
Example project repository
Contains complete implementation code and configuration examples
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