jev-mcp
MCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any MCP client
Install / Use
claude mcp add burnigtm -- npx -y github:burnigtm/jev-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of jev-mcp
jev-mcp scores 37/100 on our quality scale, 4400th of 4,606 Development & Engineering skills we index.
Its MCP Server is 1.8 KB long, written without headings and no code examples: moderately detailed.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
jev-mcp compared with similar skills
All 4 of these similar skills score higher than jev-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| jev-mcp (this skill)by burnigtm | 37 | 0 | — | MCP Server |
| Agent-Reachby Panniantong | 100 | 103.3k | 1d ago | CLAUDE.md |
| taste-skillby Leonxlnx | 100 | 102.9k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.9k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 66.3k | today | CLAUDE.md |
Frequently asked questions
- How do I install jev-mcp?
- Run
claude mcp add burnigtm -- npx -y github:burnigtm/jev-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does jev-mcp work with?
- It is written for Claude Code, Claude Desktop, Cursor and OpenAI Codex, as a MCP Server file. Other agents that read the same format can often use it too.
- Is jev-mcp safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is jev-mcp still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHub{ "name": "jev-mcp", "version": "0.2.0", "description": "MCP server that brings TypeSafe Jev cheap typed decisions to Cursor, Codex, and any MCP client", "type": "module", "main": "./dist/index.js", "bin": { "jev-mcp": "./dist/index.js" }, "exports": { ".": "./dist/index.js" }, "files": [ "dist", "examples", "skills", "docs", "evals/README.md", "scripts/checkout-d-drive.ps1", "AGENTS.md", ".env.example", "README.md", "LICENSE" ], "engines": { "node": ">=20" }, "scripts": { "build:skill": "node scripts/build-skill.mjs", "test:skill": "npm run build && node --import tsx --test tests/skill.test.ts tests/workflow.test.ts tests/eval-harness.test.ts tests/evidence.test.ts", "eval:live": "npm run build && node scripts/eval-live.mjs", "eval:agent": "npm run build && node scripts/eval-agent.mjs", "eval:bonus": "npm run build && node scripts/eval-bonus.mjs", "build": "tsc", "prepack": "npm run build", "start": "node dist/index.js", "dev": "tsx src/index.ts", "test": "node scripts/run-tests.mjs", "test:package": "node --import tsx --test tests/package.test.ts", "benchmark": "npm run build && node scripts/benchmark.mjs", "benchmark:ci": "npm run build && node scripts/benchmark.mjs --assert", "typecheck": "tsc --noEmit" }, "keywords": [ "mcp", "jev", "typesafe", "cursor", "codex" ], "license": "MIT", "repository": { "type": "git", "url": "https://github.com/burnigtm/jev-mcp.git" }, "dependencies": { "@modelcontextprotocol/sdk": "^1.30.0", "@typesafe-ai/sdk": "^0.6.0", "zod": "^4.6.5" }, "devDependencies": { "@types/node": "^22.20.3", "diff": "^9.0.0", "fflate": "^0.8.3", "tsx": "^4.23.13", "typescript": "^5.9.2", "yaml": "^2.9.1" } }
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.