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by saptechengineer • Security & Privacy
A collection of locally-hosted MCP servers that extend Claude Desktop with services like real-time weather and LinkedIn profile scraping for privacy-preserving local processing.
Current weather data (conditions and forecasts) for any location to answer user queries or make decisions based on weather.
Extract and summarize LinkedIn profile information to produce professional bios, skill lists, or career trajectory summaries.
Run extension services locally to preserve data privacy and avoid sending sensitive information to cloud-hosted MCP servers.
This repository provides lightweight MCP servers (Weather Service and LinkedIn Profile Scraper) you can run locally to add external capabilities to Claude Desktop while keeping data and processing on your machine. It includes installation and configuration instructions using the UV package manager and example MCP configuration snippets. The project is open-source (MIT) and intended to let users integrate real-time data and profile analysis into Claude without relying on third-party cloud-hosted endpoints.
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