MCP
How to Use Funded DB With MCP: VC Portfolios and AI Investment Theses
Last updated: April 2026
BigIdeasDB MCP includes 3 Funded DB tools that give your AI access to VC- and accelerator-backed portfolio companies, each with an AI investment thesis, attractiveness score, and momentum score. Use them to see what the smartest money funds by sector and find validated markets to build into. This guide covers each tool with example prompts.
On this page
search_funded_companies
Search funded companies by keyword and narrow with filters for sector, status, country, or founding year. Each result includes the company's one-liner, sectors, and the AI investment thesis, attractiveness score, and momentum score.
Example prompt: 'Search funded companies for developer tools founded after 2022'. This surfaces recently funded startups in a space so you can see where capital is flowing. Read what VCs are funding in 2026 for the macro view.
get_funded_company
Pull the full profile for a single company by slug. Returns the AI investment thesis, risks, opportunity and risk signals, founders, and the investors who backed it.
Example prompt: 'Get the funded company details for <slug>'. Use this after a search to read the full thesis and see which firms are on the cap table.
semantic_search_funded
Concept (vector) search across the funded portfolio. Describe a thesis or market in natural language and get the semantically closest companies with similarity scores - matches a keyword filter would miss.
Example prompt: 'Semantic search funded companies for agents that automate back-office finance for SMBs'. This finds companies by meaning, not exact keywords.
Research workflows with Funded DB tools
Use Funded DB to validate that smart money is already backing a space, then cross-reference demand. Combine with search_pain_points and search_stripe_companies to confirm both the problem and the existing supply. For a full multi-source workflow, see our cross-source research guide, or read how to find startup ideas that get funded.
FAQ
What data does Funded DB cover?
VC- and accelerator-backed portfolio companies across top firms and accelerators (including Y Combinator, Techstars, a16z, and Sequoia), each enriched with an AI investment thesis, attractiveness score, momentum score, and risk/opportunity signals.
What is semantic search on funded companies?
It embeds your natural-language query and matches it against vector embeddings of each company, returning the closest matches by meaning with similarity scores - useful when you can't name the exact keyword.
Can I filter by sector or founding year?
Yes. search_funded_companies accepts sector, status, country, min_founded_year, and max_founded_year filters alongside the keyword query.
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