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제작자가 쓴 설명(영어 원문)
Agentic code review, no signup to try: reality gates + frontier-model review, with veto.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
Authorization비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
터미널에서 이 명령어를 실행하세요
claude mcp add --transport http verificate https://mcp.verificate.ai/mcp --header 'Authorization: your-value'실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"verificate": {
"url": "https://mcp.verificate.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"verificate": {
"type": "http",
"url": "https://mcp.verificate.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
Authorization 비밀 필수 HTTP header이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 verificate.ai 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: Authorization
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.8.7)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Real output from the live server: 12 lines of AI-written payment code — rejected, fixed, approved, in seconds.
You vibe-coded the demo. This ships it. Between a working demo and a launched product used to stand an experienced CTO and a senior dev team — the people who catch the mock refund path, the invented SDK call, the loop that dies at real traffic. Verificate MCP is that review team as an MCP server: 17 deterministic reality gates with veto power, fused with a frontier-model enterprise review (ISO/IEC 25010: performance, scalability, reliability), run on every AI-written change before it reaches your codebase. The AI writes; the gate holds the bar; you ship. Hosted, zero-install, binary verdict in seconds — in Claude Code, Cursor, Windsurf or any MCP client.
Not another linter wrapper. The code-quality shelf on every MCP directory is two things: scanners (ESLint, Semgrep and SonarQube bridges — deterministic rules, no judgment) and prompt relays that pipe your repo to your own LLM key (self-review with extra steps). Verificate is neither: the gates hold veto power that no model output can override.
Your coding assistant writes a mock and calls it done. It invents an SDK call that doesn't exist. It ships an N+1 loop that passes every test and dies under load. Verificate MCP runs the deep review pass on every AI output — deterministic reality gates first (any one can veto), then an enterprise-grade review scores what survives — before the code reaches your codebase.
12 plausible lines of AI-written payment code were sent through the production gateway. Verdict: REJECTED — score 30.8/100, vetoed by `code_reality_gate`, with findings including:
*"N+1 synchronous API calls … For 100 items, this results in 100 sequential HTTP roundtrips, taking ~10–20 seconds and blocking the event loop/worker thread … will trigger Stripe rate limiting (100 req/sec limit)."*
*"
stripe.Inventoryis not a valid Stripe SDK resource."*
*"Floating-point representation issues lead to rounding errors in financial transactions; Stripe API requires integer cents."*
Each of those is an afternoon of production debugging, caught in seconds.
A frontier model asked *"is this OK to merge?"* in a natural workflow missed reward-gaming (a test that only does assert True) and a hallucinated API (stripe.Refund.create_partial) in 0 of 6 runs each. Verificate's gate caught both 6 of 6 — deterministically, with 0 false positives on clean code.
| Adversarial case | LLM review alone | Verificate gate |
|---|---|---|
Reward-gaming (assert True test) | 0 / 6 | 6 / 6 |
| Hallucinated API (nonexistent SDK call) | 0 / 6 | 6 / 6 |
Battle-tested: 2,581 audited validations over 5 weeks (66 rejected, 270 flagged unfit), including guarding the write-path of a 21M-entity source-cited knowledge base (98.6% cited, 100% licensed across 268 sources). Reproduce it: scripts/ · full write-up: COMPARISON.md.
Each tool has one job — two gates that return verdicts, one advisor that doesn't, one generator:
| Tool | Job | Returns |
|---|---|---|
validate_ai_output | The merge gate for AI-written code. Deterministic reality gates (mock/placeholder veto, gaming & bypass detection, invented-API checks) run first and can't be overridden; ISO/IEC 25010 review scores what survives. | Binary approve/reject verdict + severity-ranked findings |
validate_plan | The gate for plans and designs, before any code exists — completeness, feasibility, scalability implications, risk. The cheapest place to catch a bad design. | Binary approve/reject verdict + findings |
analyze_code | Advisory deep-dive on existing code — hot paths, rate-limit math, failure modes, tech debt. Use it to understand a rejection or review inherited code. | Scores + findings, deliberately no verdict |
generate_code | Generate + gate in one step — the LLM writes it, the same protection engine vets it before you see it. | Gated code (no placeholders, no invented APIs) |
The server also ships prompts and resources for a richer client experience:
gate_my_changes / review_my_plan — one-click workflows that loop validate → fix → re-validate until approved.verificate://gates (what each of the 17 deterministic gates watches for) and verificate://example-verdict (a verbatim production rejection).Every machine gets 25 free validations — no account, no card, no key. Add the URL and go:
Claude Code
claude mcp add --transport http verificate https://mcp.verificate.ai/mcp
Cursor / VS Code — one-click install:
*LM Studio and Goose one-click buttons are at https://verificate.ai/mcp (GitHub strips their custom-protocol links).*
Windsurf / any MCP client (JSON)
{
"mcpServers": { "verificate": { "url": "https://mcp.verificate.ai/mcp", "transport": "http" } } }
Cursor: ~/.cursor/mcp.json. Windsurf: ~/.codeium/windsurf/mcp_config.json.
Then ask your assistant to *"validate this function with verificate"* — a structured verdict comes back in seconds, and every free-tier response shows how many validations you have left and what the gate has caught for you.
Sign up at https://verificate.ai/auth/signup (30-day trial, no card — then $30/mo) and add your token to the same config:
claude mcp add --transport http verificate \
https://mcp.verificate.ai/mcp \ --header "Authorization: Bearer YOUR_TRIAL_TOKEN"
or in the JSON config add "headers": { "Authorization": "Bearer YOUR_TRIAL_TOKEN" }.
Tools an agent *may* call are tools it will skip under pressure. Add a standing rule (Claude Code: CLAUDE.md; Cursor: a rule file):
Before presenting any substantive code change as complete:
One-paste setup prompts that install these rules for you: PROMPTS.md. Or wire it into CI as a merge gate — see examples/.
AI output ──► Reality gates (deterministic, any one vetoes)
• mock/placeholder in the wire path • invented/hallucinated APIs • claimed-complete without proof • gaming & bypass detection │ survivors only ▼ Enterprise review (ISO/IEC 25010 + MLOps) performance · scalability · reliability · tech debt │ ▼ Verdict: score /100 + severity-ranked findings (REJECTED = agent fixes findings and re-validates)
The two stages are deliberately separate: if reality and quality were blended into one score, a beautifully structured function that fakes its refund path could still average out to "acceptable." A veto architecture makes that impossible.
Everything else on the MCP code-quality shelf is free — and that's fair, because a wrapper should be free. What you can't get for free is judgment with authority:
| What you'll find on the directories | What it is | What it structurally can't do |
|---|---|---|
| Linter wrappers — ESLint MCP, Semgrep MCP, SonarQube MCP | Rule-based scanners exposed as MCP tools. Deterministic, free, worth running. | No judgment. Rules can't know the refund function *never calls the payment provider*, or that stripe.Inventory doesn't exist. No verdict, no veto — findings your agent is free to ignore. |
| BYO-key review relays | Your repo + a review prompt, piped to your own OpenAI/Anthropic key. | Self-review with extra steps: the reviewer shares the generator's blind spots, there are no deterministic gates underneath, and whatever the model says goes. You maintain keys, versions and hosting. |
| A bigger model | Hope the generator reviews itself better. | Self-review inherits self-blindness. An external gate holds the same bar for every model — which also makes smaller, cheaper models safe to ship with: same gate either way. |
| Human review of every AI diff | The gold standard, at human speed. | Doesn't scale at AI generation speed. The gate does the first pass in seconds; humans review verdicts, not raw diffs. |
| Verificate MCP | Deterministic reality gates with veto, then a frontier-model enterprise review — fused into one binary verdict. Hosted, always on the current model. | — |
That second layer is the part you pay for: a frontier agent doing the deep review — production arithmetic, failure modes, SDK reality — with a deterministic floor under it that the agent itself cannot argue away.
This repo is also a runnable, zero-dependency MCP server: a stdio bridge that serves initialize/tools/list locally and forwards tool calls to the hosted gateway. Use it with clients that prefer stdio servers:
VERIFICATE_TOKEN=<your-token> npx github:Verificate-Dev/verificate-mcp-quickstart
Or with Docker:
docker build -t verificate-mcp .
docker run -i -e VERIFICATE_TOKEN= verificate-mcp
Without VERIFICATE_TOKEN, introspection still works and tool calls return instructions for getting a trial token.
Does it slow the agent down? Each validation takes seconds, inside the loop, before work is presented. Compare with a defect found in CI or production plus the context switch to fix it — gating is net-faster for any change that matters.
Which languages? Validation is language-agnostic; analysis covers mainstr
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