Prakash2459/webscraped-docs-mcp

MCP Web-Scraped Documentation Server

A fast MCP (Model Context Protocol) server for searching and retrieving documentation from LangChain, LlamaIndex, and OpenAI official sources via a unified API.

Features

• Unified API for documentation search
• Supports LangChain, LlamaIndex, and OpenAI
• Returns up-to-date documentation snippets
• Asynchronous and efficient

Supported Libraries

• LangChain: python.langchain.com/docs
• LlamaIndex: docs.llamaindex.ai/en/stable
• OpenAI: platform.openai.com/docs

Usage

1. Start the server:

   python main.py
   

2. Use the get_docs tool to query documentation:
   • query: Search term (e.g., "Chroma DB")
   • library: One of langchain, llama-index, or openai

Example

result = await get_docs("memory", "langchain")

Environment Variables

• SERPER_API_KEY: API key for Google Serper search

Installation

1. Create a uv virtual environment:

   uv venv .venv
   

2. Activate the virtual environment:
   • On Windows:

     .venv\Scripts\activate
     

   • On macOS/Linux:

     source .venv/bin/activate
     

3. Install dependencies:

   uv sync
   

4. Set up .env file with your Serper API key.

MCP Server Configuration Example

Add the following to your MCP configuration (e.g., mcp.json):

{
   "servers": {
      "documentation": {
         "command": "uv",
         "args": [
            "--directory",
            "D:/projects/mcp/documentation",
            "run",
            "main.py"
         ]
      }
   }
}

License

MIT