📡 MCP Radar

MCP servers for jev

26 Model Context Protocol servers tagged jev, ranked by stars. Updated daily. Browse all servers →

NiazMorshed2007/jev-review

Local-first MCP plugin for continuous software-quality review by AI coding agents, powered by Jev.

⭐ 209TypeScript
ThinkFlowLab/system1-agents

System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics

⭐ 132Python
nassim-arifette/jevgrep

Jev-powered semantic code search for coding agents — find behavior across repositories via CLI or MCP, with exact source excerpts and line numbers.

⭐ 75TypeScript
AkashPriyadarshii/jev-seo

jev-seo: Rust SEO and GEO CLI plus MCP server for coding agents: 50-rule audits, live crawls, GEO scores, rank drift, CI gates. MIT, zero subscription.

⭐ 43Rust
PerryLink/jevcore

TypeSafe Jev for DeepSeek Harness, the Model Context Protocol, and plain Node: typed judgments instead of prose, offline by default.

⭐ 38TypeScript
shitianfang/jev-use

Claude Code / Codex / pi plugin that hands agent steps needing no text output to Jev (TypeSafe's judgment model) — measured p50 ~230 ms and ~$0.02 per 1,000 judgments, with typed escalation back to th

⭐ 27JavaScript
shaharia-lab/jev-cli

Command-line tool for TypeSafe AI's Jev model. Ask yes/no, multiple-choice and rubric questions about any text and get calibrated probabilities back. Answers become exit codes for shells and CI, JSON

⭐ 27Rust
agent-chaperone/agent-chaperone

Screens an AI agent's tool calls before they run and tool results before the agent reads them. An MCP proxy plus a hooks adapter for a client's built-in tools.

⭐ 20TypeScript
lawrence3699/jev-style

Small, calibrated decision models on your own machine: systemone-compatible local server, 6 agent skills, Claude Code guard, MCP tools. Weights on Hugging Face.

⭐ 9Python
caiovicentino/jev-risk-check-provider

x402 risk-check provider: signed pre-payment verdicts — OFAC, phishing feeds, transaction simulation, drainer-kit code, and our own EIP-7702 kit watch (poisoners, sweepers). $0.001 per check with prep

⭐ 9TypeScript
rashedInt32/jev-mcp

MCP server exposing TypeSafe Jev as typed, calibrated judgment tools: classify, score, check, batched ask. Ships as a Claude Code plugin.

⭐ 7TypeScript
tontoko/jev-browser

One grounded Jev/Playwright core: typed SDK, persistent CLI, and MCP server with native browser operations and deterministic assertions.

⭐ 7JavaScript
vij-sameerb5/JevX

When and Where Actually to use Jev in your code base.

⭐ 6TypeScript
kinde-starter-kits/jev-agent-authorization

Jev agent authorization for MCP tool calls: Kinde identity and permissions plus Jev's typed, calibrated decisions, checked server-side before every call runs

⭐ 5TypeScript
brnyxx/jev-ra

Browser use for coding agents, 3-5x faster than browser-use. MCP server + CLI; TypeSafe Jev decides every step in ~300 ms.

⭐ 4Python
Sur-Cai/macos-computer-use-kit

AX-first computer use for AI agents on macOS with optional Jev (TypeSafe System One) semantic guards: calibrated target/input judgments before an irreversible action, decisions kept in code. Accessibi

⭐ 4Python
adityajha2005/decisionkit

Fast, cheap, probability-scored decisions for coding agents, scripts and CI. CLI + MCP server + Claude Code plugin for the OpenAI Decisions API and Jev (TypeSafe AI).

⭐ 4TypeScript
abhishekswe/agent-fastpath

Jev MCP server: a decision layer for coding agents, built on TypeSafe Jev (System One model). Ship gates, risk checks, file triage that keeps files out of context, and a safe headless browser, with ca

⭐ 3TypeScript
nexibeo/jev-browser-control

Let Claude code, chatgpt codex or control your own Chrome. Chrome extension + MCP server: Jev, TypeSafe's decision model, picks each click in ~0.5 s for a fraction of a cent. MIT, bring your own OpenR

⭐ 3JavaScript
simota/tenbin

MCP server and agent skill for the TypeSafe AI System One API (Jev): decompose a judgment into Choice / Score / Noul questions, lint them, measure on labelled data, and put calibrated thresholds in co

⭐ 3TypeScript
diorrego/toolgate-experiment

Benchmarks of MCP tool selection accuracy and latency. V2 evaluates 143 Woku tools with GPT-6 Luna API calls and Jev; includes Go/Rust cores, one TypeScript SDK and reproducible reports.

⭐ 3JavaScript
wangkuangkuang/jev-mcp-server

MCP server for Jev (TypeSafe System One): the three official question types — choice, score, noul — plus batch classify. Calibrated probabilities, ~0.5s, <$0.001/call.

⭐ 3Python
freepik-company/jev-mcp

MCP server for typed decisions with Jev / System One via OpenRouter or TypeSafe

⭐ 3Go
King4s/Jev-AI-Skill

One AI skill + MCP server for Claude Code, Codex and Hermes: Jev (TypeSafe) gates large-model turns (event triage, review verdicts, owner questions, tool choice), runs build-and-repair loops with inde

⭐ 3Python
123wwwa/JevTrace

An MCP server that cuts coding-agent token usage by retrieving only the relevant JS/TS code using the TypeScript compiler and Jev.

⭐ 3TypeScript
saloni-garg/jev-max

The Jev browser agent that handles the real web: shadow DOM and iframe piercing, canvas fallback, uploads, multi-tab, MCP for any agent host.

⭐ 3Python

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