Enables MCP-capable agents to run TypeSafe's Jev judgment model as typed yes/no, choice, and score tools, with calibrated probabilities, confidence thresholds, escalation for uncertain or non-judgment tasks, and an optional action gate that fails open.
Enables MCP-compatible agent hosts to interact with TypeSafe AI's Jev System One API through dependency-free STDIO tools for classification, scoring, verification, gating, routing, review, and health checks.
Enables Claude Code or any MCP client to ask TypeSafe's Jev for calibrated, typed judgments (probabilities, choices, scores) instead of prose, with local caching and cost tracking.
Enables AI coding agents to offload yes/no, multiple-choice, and scoring questions to TypeSafe's Jev, returning compact confidence-scored answers to save tokens and improve speed.
Enables coding agents to query a Jev model for next-tool recommendations, exposing tools to check status and request tool-choice predictions, while logging all decisions for review.