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Jev-Style MCP server

by lawrence3699·io.github.lawrence3699/jev-style·v0.6.3·5 stars

Local 2B and 0.8B decision models: calibrated yes/no, choice and score answers for your agent.

B82/100grade B
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B82/100

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Adoption
Growing

5 stars110 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Jev-Style tools

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How Jev-Style compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
82/100
higher than 65% of 4,460 AI and agents servers
GitHub stars
5
more than 78% of 2,711 AI and agents servers
Downloads a week
110
more than 66% of 1,538 AI and agents servers with a package

Release history: 6 versions in the registry since 2026-09-27, latest 2026-11-01, typically one every 6 days.

Install Jev-Style in Claude Code, Cursor or VS Code

claude mcp add jev-style -- uvx jev-style
Add to Cursor

What the publisher says

From the Jev-Style repository's README, as published. We do not edit it. Read it on GitHub

Jev-Style

<!-- mcp-name: io.github.lawrence3699/jev-style -->

Small, calibrated decision models you run on your own machine, plus the tooling to put them to work in AI agents.

New in 0.3.0: Jev-Style-2B-Decision-v3. It scores 73.6 % on the 231 public items of JevBench v1.4.1 (self-run with the official harness on the GGUF F16 build, not an official board entry), 9.5 points above the 0.8B and the highest among the Qwen3.5-2B-family systems on the board. Its lead over decider-2b (71.0 %) is inside the 95 % confidence interval, 42 of the 82 board systems score higher, and hosted Jev is well ahead at 86.6 %. Try it in your browser, or run it locally with jev-style serve --release 2b. The default release is still the 0.8B, so existing setups get the same model as before.

Jev-Style is a family of small decision models built on Qwen3.5. The current releases are Jev-Style-2B-Decision-v3 (1.27 GB at 4-bit) and Jev-Style-0.8B-Decision-v3 (0.53 GB at 4-bit, the default); both, with every build and demo, are in the v3 collection. You give a model text or JSON and some typed questions, and it returns a calibrated probability for every option in one forward pass. The server's API follows the public systemone request shape, so clients written for Jev-compatible servers can call your laptop instead.

This repository is the part that makes the model useful day to day:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Jev-Style: common questions

Is Jev-Style MCP server safe?
Mostly: it is graded B (82/100). Read the Jev-Style safety report
How do I install Jev-Style?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Jev-Style need an API key?
No secret keys are declared. It reads 1 setting from the environment.
Is Jev-Style maintained?
The last commit was 38 days ago (2026-09-27). The latest release is v0.6.3.
What can I use instead of Jev-Style?
Servers from other publishers that do the same job: CHAP Coordinator MCP server.
How does Jev-Style compare with other AI and agents MCP servers?
safety score 82/100 (higher than 65% of 4,460 AI and agents servers); github stars 5 (more than 78% of 2,711 AI and agents servers); downloads a week 110 (more than 66% of 1,538 AI and agents servers with a package). Full comparison.

Alternatives to Jev-Style

Same job from other publishers: the closest match first, then the best rated.

  • CHAP Coordinator
    Auditable records of human decisions over AI agent work. Approvals, edits, overrides, escalations.
    A