MPC Docs Server
by MCP-Mirror
This is a simple MCP server for retrieving information from the official documentation of Langchain, Llama Index, and OpenAI. It provides a tool that can be used by MCP-compatible applications to search and retrieve relevant documentation snippets.
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What is MPC Docs Server?
The MPC Docs Server is an MCP (Model Context Protocol) server designed to retrieve documentation snippets from Langchain, Llama Index, and OpenAI. It acts as a tool for MCP-compatible applications to search and access relevant documentation.
How to use MPC Docs Server?
To use the server, first install the uv package manager and set up the project by creating a virtual environment and installing dependencies. Then, create a .env file with your Serper API key. Finally, run the main.py file to start the MCP server. MCP clients can then call the get_docs tool with a query and library name to retrieve documentation.
Key features of MPC Docs Server
Documentation Retrieval from Langchain, Llama Index, and OpenAI
MCP Compatibility for easy integration with other MCP applications
Simple
get_docstool for querying documentationUses Serper API for web search
Use cases of MPC Docs Server
Integrating documentation retrieval into MCP-compatible applications
Providing a tool for searching and accessing documentation within a larger system
Automating documentation lookup for AI models and agents
Building a knowledge base for AI development
FAQ from MPC Docs Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol that allows different applications and models to communicate and share information.
What is Serper API?
What is Serper API?
Serper API is a web search API used to find relevant documentation on the web.
How do I get a Serper API key?
How do I get a Serper API key?
You can obtain a SERPER API key from Serper.dev.
What libraries are supported?
What libraries are supported?
The server supports documentation retrieval from Langchain, Llama Index, and OpenAI.
How do I install the dependencies?
How do I install the dependencies?
Use the uv add command as described in the README to install the necessary packages.