PitchLense
Analyzes startup risk across 9 categories (market, product, team, financial, customer, operational, competitive, legal, exit) by processing unstructured data like pitch decks and financial reports to return structured JSON assessments with numerical scores, risk levels, and actionable recommendation
About
PitchLense MCP provides AI-powered startup risk analysis through 9 specialized analyzers covering market, product, team, financial, customer, operational, competitive, legal, and exit risks. Built by Aman Ulla using Google Gemini AI and the FastMCP framework, it processes unstructured startup data (pitch decks, financial reports, news articles) and returns structured JSON risk assessments with numerical scores, risk levels, and actionable recommendations. The implementation includes a comprehensive scanner that runs all analyses in parallel, individual MCP tools for each risk category, and additional tools for web research via SerpAPI and Perplexity, making it useful for venture capitalists, startup accelerators, and investment analysts conducting due diligence.
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