DOC-Intelligence-MCP-SERVER
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@DOC-Intelligence-MCP-SERVERSearch LangChain docs for ChatOpenAI usage"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
DOC-Intelligence-MCP-SERVER
A Model Context Protocol (MCP) server that enables LLMs (like Claude) to dynamically search, scrape, and query libraries' official documentation using Google Serper and Groq.
Features
Google Serper API Integration: Searches documentation sites for up-to-date information.
Fast Web Scraping: Extracts page content cleanly using
trafilatura.LLM Content Cleaning: Automatically cleans and strips HTML bloat from documentation pages using Groq (
llama-3.1-8b-instant).Claude Integration: Instantly works as a tool within Claude Desktop or any other MCP client.
Supported Libraries (Configured Domains)
uv(docs.astral.sh/uv)openai(platform.openai.com/docs)langchain(python.langchain.com/docs)llama-index(docs.llamaindex.ai/en/stable)
Setup
1. Requirements
Ensure you have uv installed.
2. Configure Environment Variables
Copy .env.example to .env and fill in your API keys:
cp .env.example .envInside .env:
SERPER_API_KEY: Get one from Serper.devGROQ_API_KEY: Get one from Groq Console
3. Run Locally (Testing)
You can run the test client to verify operations:
uv run client.pyClaude Desktop Integration
To add this tool to Claude, edit your claude_desktop_config.json configuration file:
Windows Path: %APPDATA%\Claude\claude_desktop_config.json
Add the server config under mcpServers:
{
"mcpServers": {
"docs-intelligence": {
"command": "uv",
"args": [
"--directory",
"C:/Users/SARAN KUMAR/OneDrive/Desktop/MCP SERVER -1",
"run",
"mcp_server.py"
]
}
}
}Restart Claude Desktop, and you will see the get_docs tool available!
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