jev-mcp

# Jev MCP

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<p align="center">
  <img src=".github/jev-mcp-og.png" alt="jev-mcp — Fast, cheap, typed judgments from TypeSafe's Jev model, as MCP tools." />
</p>

Fast, cheap, typed judgments from TypeSafe's Jev model, as MCP tools.

Give your agent twelve judgment tools:

- `jev_verify` checks claims against evidence.
- `jev_screen` judges content before it enters context.
- `jev_noul` returns a calibrated probability for a stated proposition.
- `jev_find` picks the best candidate by meaning.
- `jev_rerank` scores and sorts every candidate.
- `jev_classify` batch-assigns items to classes.
- `jev_decide` settles bounded alternatives.
- `jev_compare` judges how two passages relate.
- `jev_extract` pulls field values with regex plus judgment.
- `jev_audit` audits extracted values against their source before they are trusted.
- `jev_review` scores a proposed diff before the task is called done.
- `jev_gate` reviews a patch and verifies completion claims in one call.

Each judgment comes back typed: probabilities, and for most tools a confidence score, in roughly 150 to 500 ms, for a fraction of a cent. The cheap mechanical checks agents otherwise skip, because a frontier model is too slow to run on every page, claim, or candidate list.

What you can use it for (the use cases are endless; these are just examples):

- Fact-check a report, PR description, or agent brief against the sources it cites, claim by claim.
- Screen a fetched page for injected instructions before it enters context, and skip pages with nothing to say.
- Find which document, file, or note answers a question, across hundreds of candidates, with no embeddings and no index to maintain.
- Rerank retrieval results, triage near-duplica