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GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Agentic code review, no signup to try: reality gates + frontier-model review, with veto.
These three are never merged into one score: opinions, measurements and popularity are different things.
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This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Run this in your terminal
claude mcp add --transport http verificate https://mcp.verificate.ai/mcp --header 'Authorization: your-value'Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"verificate": {
"url": "https://mcp.verificate.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"verificate": {
"type": "http",
"url": "https://mcp.verificate.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
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Authorization secret required HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
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 7, 2026
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Not checked yet; we check endpoints in rotation
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Not checked yet; we read the tool list when we check the endpoint
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The GitHub repo last changed –, and the latest version (1.8.7) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
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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
Only the beginning is shown; read the rest in the repo