Splitifi Intelligence MCP

You'd reach for this when you need programmatic access to legal outcome predictions or judicial analytics in your LLM workflows. The server taps into 2,741 machine learning models trained on over 30 million court records to surface case outcome probabilities and judge profiles. It's useful for legal research automation, case strategy tooling, or building features that need to assess litigation risk based on historical patterns. The models cover a broad dataset, though the specifics of which jurisdictions, case types, or prediction outputs are exposed aren't detailed in the listing. If you're building anything that touches legal decision making or needs courtroom data at scale, this gives Claude direct access to those predictions without you maintaining the models yourself.