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Fast, cheap, typed judgments from TypeSafe's Jev model, as MCP tools.
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CommunityJev Tools & CLIs
Jev MCP — jkudish
An MCP server exposing ten Jev judgment tools, including verify, screen, find, rerank, classify, review, and gate, each returning typed probabilities in roughly 150 to 500 ms.
- Stars
- 539
- Language
- JavaScript
- License
- MIT
- Reading time
- 3 min
- Published by
- Community
- Author
- jkudish
- Last verified
- Sep 2026
About this project
Fast, cheap, typed judgments from TypeSafe's Jev model, as MCP tools. Give your agent twelve judgment tools: jevscreen judges content before it enters context. jevnoul returns a calibrated probability for a stated proposition. jevfind picks the best candidate by meaning. jevrerank scores and sorts every candidate. jevcompare judges how two passages relate. jevextract pulls field values with regex plus judgment. jevaudit audits extracted values against their source before they are trusted.
Quoted from the project's README. Read the full README.
Highlights
- Ten tools cover claim verification, content screening, candidate finding, reranking, and classification.
- Typical latency is roughly 150 to 500 ms per judgment at a fraction of a cent.
- Provider keys can be TypeSafe direct, OpenRouter, or Vercel AI Gateway.
- Runs via npx with one-line setup for Claude Code, Codex, Amp, and OpenCode.
Watch out
Early software, and it needs Node 20 or newer plus a TypeSafe or OpenRouter API key.
Questions about this entry
Short answers drawn from the linked project or page.
The point is the mechanical checks an agent otherwise skips because a frontier model is too slow to run on every page or candidate list. jev_screen filters a fetched page for injected instructions before it enters context, jev_find picks the best candidate by meaning with no embeddings or index to maintain, and jev_extract returns verbatim strings the model found but never wrote.
That is the failure mode the shipped agent skill exists for. It teaches when to reach for each tool instead of answering from the agent's own reading, because a registered-but-unused tool list changes nothing about the agent's behavior.
Stdio is the default. HTTP mode listens on HOST, which is 127.0.0.1 unless you change it, and JEV_MCP_AUTH_TOKEN is required to serve beyond loopback. Some clients can only be given a URL, so JEV_MCP_PATH_TOKEN=1 puts the token in the path instead; the README says to treat that whole URL as the secret.
No. Importing @jkudish/jev-mcp never boots a transport; createServer() registers the tools and returns an McpServer you connect yourself. The package now declares exports, so deep imports like @jkudish/jev-mcp/dist/index.js no longer resolve, and the /server alias is the explicit safe entry.
Run npx -y @jkudish/jev-mcp, or register it with your client as an MCP server using that command; it needs Node.js 22 or newer and a Jev provider key such as TYPESAFE_API_KEY.
The README lists twelve, including jev_verify for claims against evidence, jev_screen for content before it enters context, jev_find and jev_rerank for candidates, jev_classify, jev_extract, jev_review and jev_gate.
Yes. The package ships an agent skill under skills/jev/ that teaches coding agents when to reach for each tool; copy it to .claude/skills, .opencode/skills or .agents/skills, and in Amp the server is bundled with the skill.
Reactions & coverage
Posts, threads, and videos about this entry from around the web.
X: jev-review: a local-first score loop for coding agents
Reddit: One command to wire Jev into Claude Code, Claude Desktop, and Codex.
X: Decision outputs in Grep
X: Jev in front of the HeyGen MCP
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From the Jev guides
Original write-ups on what this entry is for.
From the Jev AI model community
Posts from builders shipping with Jev right now.