Jev

Name: Jev
Author: Aitejiu

by Aitejiuversion 0.1.2i★ 3iRuns on your computer

Registry nameio.github.Aitejiu/jev

How to install

What it does

Jev judgments for agents: injection scanning, shell risk gating, ranking

Connects Runs on your computer
Account or key Needs TYPESAFE_API_KEY
Category Developer tools

Install

Pick the AI app you use, then copy the settings.

Passed 2/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026

First: which AI do you use?

ClaudeWeb · app · phoneChatGPTWebClaude CodeTerminalCursorCode editorVS CodeCode editorOtherOther apps

Pick your app and the steps appear below.

Works with Claude, with some setup first

You need a Jev key (create it on the maker’s site) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Sign up and create a Jev key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Done
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Done

Paste these settings and save the file

{
  "mcpServers": {
    "jev": {
      "command": "uvx",
      "args": [
        "jev-mcp"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value"
      }
    }
  }
}

Paste the key only into the app’s field, never into a chat or to anyone

Done

Quit Claude and open it again
Done
Try it
Use Jev and tell me what you can do for me, then show me one thing
✓ If Claude says it is using Jev or shows a Jev tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Jev yet

Jev runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Jev

Steps for Claude →You need a Jev key (create it on the maker’s site) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Steps for Claude Code →You need a Jev key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)
Steps for Cursor →You need a Jev key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)
Steps for VS Code →You need a Jev key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)

B · Others in Developer tools that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Sentry✓ ChatGPT
Compiler Explorer✓ ChatGPT
GitDiagram✓ ChatGPT

Works with Claude Code, with some setup first

You need a Jev key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Sign up and create a Jev key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Done
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Done
4
Paste this command and press Enter
```
claude mcp add --scope user jev --env TYPESAFE_API_KEY=your-value -- uvx jev-mcp
```
Replace “your-value” with your key before pressing Enter
Paste the key only into the app’s field, never into a chat or to anyone
Done
Type /mcp in Claude Code
You should see Jev listed as connected
Done
Try it
Use Jev and tell me what you can do for me, then show me one thing
✓ If Claude Code says it is using Jev or shows a Jev tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

You need a Jev key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Sign up and create a Jev key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Done
Click this button to open Cursor
Open in Cursor
Cursor asks you to confirm; click Install
Done
Fill in your key
In the Jev settings, TYPESAFE_API_KEY is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Done
Open the AI chat in Cursor in Agent mode
Done
Try it
Use Jev and tell me what you can do for me, then show me one thing
✓ If Cursor says it is using Jev or shows a Jev tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

You need a Jev key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Sign up and create a Jev key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Done
Click this button to open VS Code
Open in VS Code
VS Code asks you to confirm; click Install
Done
Fill in your key
In the Jev settings, TYPESAFE_API_KEY is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Done
Open the AI chat in VS Code in Agent mode
Done
Try it
Use Jev and tell me what you can do for me, then show me one thing
✓ If VS Code says it is using Jev or shows a Jev tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Jev💬 Discussion →

For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user jev --env TYPESAFE_API_KEY=your-value -- uvx jev-mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "jev": {
      "command": "uvx",
      "args": [
        "jev-mcp"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value"
      }
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "jev": {
      "command": "uvx",
      "args": [
        "jev-mcp"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "jev": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "jev-mcp"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value"
      }
    }
  }
}

Values you fill in

TYPESAFE_API_KEY secret required env
TypeSafe API key used for Jev judgments

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

GitHub stars i: 3
Downloads per weeki: 26/wk
Licence i: No licence stated
Connection: Runs on your computer
Transport: stdio
Latest versioni: 0.1.2
Categoryi: Developer tools
Published to registryi: Sep 21, 2026
Code last changedi: Sep 21, 2026
Maker: Aitejiu
Packages: pypi: jev-mcp
Repo: Aitejiu/jev-harness-lab
Registry status: Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

Claude Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Raycast

All apps, with pros and cons →

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 13, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Aitejiu, which owns the repo
✓ Pass
Still maintained
Code last changed 2 months ago
✕ Fail
Has a licence
No licence file found in the repo
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

User reviews

No reviews yet

Compared with others in Developer toolsi

More stars than 81% of the other 5829 servers in this category
Published to the registry more recently than 40% of the other 5829 servers in this category
Basic checks equal to or better than 44% of the other 5829 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Jev safe?

It passed 2 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: TYPESAFE_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 2 months ago, and the latest version (0.1.2) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: REA, GitHub, Serena MCP: the IDE for your agent

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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GitHub

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

jev-harness-lab

用 TypeSafe Jev（System One 决策模型）做 agent harness 工程实验的技术仓库：评测框架、基准报告、可运行的集成工具（MCP server、skill router）。

安装

① MCP server（给 agent 加三个 Jev 工具）

用 uv 一条命令，无需克隆：

# 从 PyPI

uvx jev-mcp

直接从 GitHub 源码运行

uvx --from git+https://github.com/Aitejiu/jev-harness-lab jev-mcp

配置到任意 MCP 客户端（opencode / Claude Desktop 等）：

"mcp": { "jev": { "type": "local", "command": ["uvx", "--from", "git+https://github.com/Aitejiu/jev-harness-lab", "jev-mcp"], "environment": { "TYPESAFE_API_KEY": "your-key" }, "enabled": true } } }

提供的工具：

工具	作用
`scan_injection`	扫描工具/网页/邮件输出里的注入指令，返回 block / review / pass
`bash_risk`	shell 命令四维风险打分（破坏性 / 触密 / 外发 / 不可逆），返回 deny / review / allow
`rank_candidates`	候选片段按相关性打分排序（RAG 精排）

MCP Registry 归属标记（勿改格式）：

mcp-name: io.github.Aitejiu/jev

② Agent skill（让 Jev 帮主模型选 skill）

npx skills add Aitejiu/jev-harness-lab --skill jev-skill-router

用 Jev 把任务路由到已安装的 skill，并且只加载选中那一个的完整指令，避免把整个 skill 目录塞进主模型上下文。技能页：https://www.skills.sh/aitejiu/jev-harness-lab/jev-skill-router

环境变量

两个集成都需要：

export TYPESAFE_API_KEY=<your-key>

├── examples/ # 最小可运行示例（三原语、state、路由、护栏、抽取） ├── eval/ # 评测框架：11 个基准脚本 + 24 份报告 + 原始结果 │ └── datasets/ # 手工构造的数据集（如 130 条 shell 命令风险集） ├── integrations/ │ └── opencode/ # opencode 插件：jev_route_skill（skill 门控） ├── skills/ │ └── jev-skill-router/ # 可安装的 agent skill（SKILL.md + 独立脚本，skills.sh） ├── docs/ │ └── REPORT.md # 技术评估报告（数据与结论） ├── src/jev_mcp/ # MCP server 包（PyPI: jev-mcp） ├── pyproject.toml # Python 打包配置（console script: jev-mcp） ├── server.json # MCP Registry 元数据（mcp-name: io.github.Aitejiu/jev） ├── mcp_server.py # 兼容 shim：不安装也可 python mcp_server.py 运行 ├── skill_router.py # 本地 skill 目录路由（Jev 选择并加载 SKILL.md） ├── common.py # .env 加载 + 共享 client └── requirements.txt

快速开始

uv venv --python 3.12 .venv

uv pip install -r requirements.txt echo "TYPESAFE_API_KEY= " > .env

# 最小示例

.venv/bin/python examples/quickstart.py .venv/bin/python examples/noul.py # criteria 对判断的影响 .venv/bin/python examples/routing.py # 阈值路由

跑评测（示例：skill router，501 个真实 skills）

.venv/bin/python eval/run_skillretbench.py --variant hybrid --per-setting 100

评测结果缓存在 eval/results/*.jsonl（已随仓库提交，可 --report-only 直接出报告）；原始数据集在 eval/data/，需按 eval/README.md 的说明下载（已 gitignore）。

集成工具

MCP server

.venv/bin/python mcp_server.py   # stdio

工具	作用	输入 → 输出
`scan_injection`	扫描工具输出中的注入指令	tool_output → `action`(block/review/pass) + 概率
`bash_risk`	shell 命令四维风险打分	command → `action`(deny/review/allow) + 破坏性/触密/外发/不可逆分数
`rank_candidates`	候选片段相关性重排	query + candidates(≤10) → 排序后的 index/score

接入 opencode 的配置示例（项目 .opencode/opencode.json）：

"mcp": { "jev": { "type": "local", "command": ["/absolute/path/to/jev-harness-lab/.venv/bin/python", "/absolute/path/to/jev-harness-lab/mcp_server.py"], "enabled": true } } }

Skill router

.venv/bin/python skill_router.py --query "帮我查飞书文档" --load

opencode 插件在 integrations/opencode/jev-skill-router.ts：注册 jev_route_skill(task) 工具，请求进来时用 Jev 从本地 skill 目录选出最合适的一个并返回其完整指令。参考做法是配合 agent.build.tools.skill = false 关闭内置 skill 工具，使主模型上下文不再携带整个 skill 目录。

主要基准结果（详见 docs/REPORT.md）

任务	数据	结果
间接注入检测	InjecAgent 1,105 条	阈值 0.10：P/R 100%，良性误报 0%
检索重排	BEIR SciFact 900 对	BM25 → Jev：MRR 0.622 → 0.843，Hit@1 50% → 78.3%
意图分类	SNIPS / Banking77	7 类 97.9% / 77 类 80.3%
工具目录路由	MetaTool 199 工具	相似干扰 k=5 96.5%
Skill router	SkillRetBench 501 库	hybrid 架构 R@1 75.8%（最强基线 38.0%）
命令风险门控	自建 130 条	危险拦截 100%、正常放行 98.2%
模型难度路由	RouterBench	51%（无信号，负结果）
轨迹失败归因	Who&When 1,403 步	AUROC 0.56（负结果）

总计约 22,500 次 API 调用、52.2M input tokens、$2.19。

说明

所有 benchmark 使用公开数据集；原始结果 JSONL 已提交，报告可复现。
部分官方基线为模拟实现（在报告中已标注）。
Jev 已知限制：choice 最多 255 个选项、仅文本输入、state+questions 共享约 32k tokens、英语为主。
版本：jev-1.13.0，模型升级后建议重新评测。

Jev

What it does

Install

Install Python (uv)

Sign up and create a Jev key

Open the Claude desktop app’s settings file

Paste these settings and save the file

Quit Claude and open it again

Try it

What you can do instead

Install Python (uv)

Sign up and create a Jev key

Open Terminal

Paste this command and press Enter

Type /mcp in Claude Code

Try it

Install Python (uv)

Sign up and create a Jev key

Click this button to open Cursor

Fill in your key

Open the AI chat in Cursor in Agent mode

Try it

Install Python (uv)

Sign up and create a Jev key

Click this button to open VS Code

Fill in your key

Open the AI chat in VS Code in Agent mode

Try it

Installed on your computer

Values you fill in

At a glance

Which apps can use it

Related guides

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Discussion

User reviews

Compared with others in Developer toolsi

Common questions

Others in the same category

REA

GitHub

Serena MCP: the IDE for your agent

README from the maker

jev-harness-lab

安装

① MCP server（给 agent 加三个 Jev 工具）

直接从 GitHub 源码运行

② Agent skill（让 Jev 帮主模型选 skill）

环境变量

目录

快速开始

跑评测（示例：skill router，501 个真实 skills）

集成工具

MCP server

Skill router

主要基准结果（详见 docs/REPORT.md）

说明