PitchLense
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/connectaman/pitchlense-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve PitchLense from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.