jev-mcp

MCP server wrapping TypeSafe's Jev System One models — typed noul/choice/score judgments for AI agents

How it uses Jev

MCP server wrapping TypeSafe's Jev System One models. Instead of prompt-and-parse, agents get typed judgments they can use directly in code: yes/no probabilities, multiple-choice selections with distributions, and rubric-based scores.

Getting started

Or with an installed environment:

Source: community catalog. Details and metrics reflect the published community snapshot and are not a performance endorsement. Documentation details extracted from GitHub · the README · the project website.

Keep exploring

Similar to jev-mcp

Browse all
typesafe-demo-mcp project preview
Agent tooling
MCP server exposing TypeSafe System One judgments (noul, choice, score) as agent tools
typesafe-cli (geilt) project preview
CLI and agent skill for TypeSafe System One (Jev): typed Choice, Score, and Noul judgments.
decisions-judge-mcp project preview
Agent tooling
Typed decisions for AI agents as an MCP tool: yes/no probability (noul), choice, and score in one fast request. Backed by the TypeSafe System One model.
s1-rs project preview
SDKs & clients
Typed System One layer for Rust (Choice/Score/Noul).
jev-mcp-server project preview
Benchmarks & research
MCP server for Jev (TypeSafe System One): the three official question types — choice, score, noul — plus batch classify. Calibrated probabilities, ~0.5s, <$0.001/call.
Loki project preview
Integrations
Self-improving agent harness with an optional TypeSafe Jev companion for typed Choice, Score, and Noul judgments.
typesafe-jev-mcp project preview
Benchmarks & research
MCP server exposing TypeSafe's Jev model as a typed evaluate tool.
qwen-rlcd project preview
Benchmarks & research
Jev-style calibrated decision model (Choice/Score/Noul) on Qwen3.5-0.8B
jev-rs project preview
Applications
System One judgments (noul/choice/score) from any LLM in one prefill — a Rust, Jev-compatible /v1/systemone engine