What dependencies are required?
Python 3.8 or higher, a Claude Pro subscription, a Serper API key, and the Claude Desktop application.
@XPE-7
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-xpe-7": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
It is an MCP server that enhances Claude with documentation search capabilities for AI and ML libraries. It integrates with the Serper API for web search and the Claude Desktop app, targeting users who need fast, intelligent retrieval of technical documentation.
Clone the repository, create a virtual environment, install dependencies, and set the SERPER_API_KEY in a .env file. Start the server with python main.py, then connect the Claude Desktop app via the Tools section by adding a local tool.
Python 3.8 or higher, a Claude Pro subscription, a Serper API key, and the Claude Desktop application.
Open the Claude Desktop app, go to Settings > Tools, click “Add Tool”, select “Connect to a local tool”, and follow the prompts to connect to the running server.
Currently it supports LangChain (python.langchain.com/docs), LlamaIndex (docs.llamaindex.ai/en/stable), and OpenAI (platform.openai.com/docs). More can be added by editing the `docs_urls` dictionary in `main.py`.
“Connection refused” usually means the server is not running. Timeout errors may indicate poor internet or need for increased timeout. API key issues require verifying the Serper key in the `.env` file.
When Claude invokes the `get_docs` tool, the server searches the web via the Serper API, scrapes relevant documentation pages, and returns the content to Claude for analysis. No documentation data is stored locally beyond the search results.
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