Show HN: MeMCP – MCP for Personal Profile (github.com)

A developer has unveiled MeMCP, a FastAPI-driven Model Context Protocol (MCP) server designed to aggregate and manage personal professional profiles, including career data and project details. Notable for its comprehensive scraping framework, MeMCP can pull information from diverse sources such as GitHub, LinkedIn, and Medium, using LLM-powered content extraction for enhanced data enrichment. It supports multi-language capabilities and features a RESTful API that allows for sophisticated searching and filtering of the aggregated information. This tool is significant for the AI/ML community as it bridges the gap between disparate professional data sources, enabling users to create a cohesive representation of their professional identities. By employing advanced metrics to analyze skills and technologies—like proficiency, project count, and relevancy—MeMCP provides insights that are vital for personal branding and career development. Its ability to intelligently classify and enrich content showcases the practical applications of LLMs in structuring unstructured data, thereby enhancing user experience and engagement in the increasingly data-driven job market.