Jev Use MCP server
Typed yes/no, pick-one and score judgments from Jev in one batched call; typed escalation back.
10 stars1.4k downloads/wk
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If you have run it, two minutes of your experience saves the next person an afternoon.
Jev Use tools (2)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
jev_gateAsk Jev to risk-check ONE proposed agent action against the current state in a single
jev_judgeHand a batch of quick judgment questions to Jev (TypeSafe AI's System One model):
Public scan report
scanner v0.1.9 · 2026-09-20 · same rubric, same numbers if you re-run it
- Code scan57 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 0 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
What the publisher says
From the Jev Use repository's README, as published. We do not edit it. Read it on GitHub
jev-use
English | 简体中文
The best way for Claude Code, Codex, and pi to work with Jev: hand the tasks that need no text output to Jev — faster steps, fewer tokens, tasks done sooner and better.
It makes the LLM and Jev true collaborators: when content needs to be written, the LLM takes over; when a step just needs a fast decision, Jev executes it.
Demos — real runs, 1× speed
Directions task: Jev clicks, the LLM types — 10 decisions (p50 274 ms) · 4 writes; Jev rejects a wrong route, the LLM rewrites Context compaction — 200 messages judged in 7 calls, one LLM paragraph replaces the dropped pile; recall 3/3 Pong: ball speed = decision latency — 86 Jev decisions in 20 s vs 6 (haiku) and 3 (gemini) called the usual way; enum-constrain both and the gap is 3× Gate every shell command — dangerous ones denied in ~230 ms with a reason, zero LLM tokens
Every demo is a rerunnable script in bench/examples/; all numbers, methodology, variance and caveats: bench/RESULTS.md · third-party measurements: docs/evidence.md.
Install
npx -y jev-use install # wires Claude Code, Codex, and pi — whichever it findsSet one key in the environment your agent runs in (JEV_BACKEND=mock for a keyless dry run):
npx -y jev-use doctor checks the wiring. Judged state goes to the provider you configure; JEV_BACKEND=mock stays local. Plugin form with the routing skill and the PreToolUse gate: harness/claude-code · harness/codex.
Use as a library
npm i jev-use — zero runtime dependencies on the judgment path:
import { Jev, check, pick, rate } from "jev-use";
const jev = new Jev();
const { answers } = await jev.judge(state, {
next: pick("Next action?", { merge: "all green", rerun: "looks flaky", hold: "needs attention" }),
risk: rate("How risky?", ["routine", "worth a look", "incident"]),
passed: check("Did the run fully succeed?"),
});
// answers.next → { answer: "merge", confidence: 0.93, confidenceFrom: "reported", escalate: false }Anything Jev can't or shouldn't decide comes back with escalate: true and a typed reason. Tools, verdict shape, escalation contract, CLI: docs/reference.md.
Small enough to read
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Install directly
Runs npx -y jev-use on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add jev-use -- npx -y jev-use
Jev Use: common questions
- Is Jev Use MCP server safe?
- Yes, by our scan: it is graded A (92/100). Read the Jev Use safety report
- How do I install Jev Use?
- It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
- Does Jev Use need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Jev Use maintained?
- The last commit was in the last day (2026-09-20). The latest release is v0.7.1.