Provides MCP tools that wrap Jev's finite typed judgments to give agents a semantic decision-control layer for task routing, pre-execution risk gating, and completion verification, keeping final execution authority in code.
Enables MCP clients to call TypeSafe's JEV classifier and receive structured, typed judgments with probabilities for binary, choice, and scoring questions.
Enables MCP-capable agents to query the NanoJev decision service in natural language for boolean, choice, and score evaluations across decision-loop stages such as feasibility checks, action selection, risk assessment, and look-ahead planning.
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.