Sophisticated technical buyers, top-tier funds with internal data engineering teams, larger firms building their own AI-native research stacks, do not always want a UI. They want a data layer beneath their own tools. The Kruncher MCP Server is built for exactly that.
The same continuously updating company knowledge layer that powers our screening, memo generation, portfolio monitoring, signal feed, and Alpha Engine is now available as an MCP endpoint. Your team queries it from Claude, from your internal agents, from your research notebooks, and from any MCP-compatible client, and gets structured private-market intelligence back in real time, scored through your fund's configured lens.
Building this data layer in-house would take a team of NLP engineers and data scientists 18 to 24 months. Kruncher gives you the substrate, with full historical lineage on every data point, entity resolution across 20+ premium sources, multilingual European registry coverage, and 450 configurable signals, behind a single stable interface.