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  3. Reviewgate
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Reviewgate

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

Code review against the rules your team actually wrote, not generic best practice. A cheap generator finds problems, an independent judge refutes them against full files, so the noise stays down. Two tools for the agent loop (getteamrules, reviewchanges), plus a pre-push gate and a bot on GitLab/GitHub pull requests. Single binary, no Node or Docker; bring your own model key.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "reviewgate-reviewgate": {
      "command": "npx",
      "args": [
        "-y",
        "reviewgate-reviewgate"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ”„ More in Version Control

Documentation Overview

ReviewGate

AI code review by your team's standards β€” in the editor while the agent works, at the pre-push hook, and again on the pull request.

Free. Self-hosted. Bring your own model key: the code never leaves your infrastructure, and nothing is reported back to the vendor.

  • Site and documentation: https://reviewgate.dev
  • Live reviews on 13 real pull requests: https://reviewgate.dev/demo
  • Русская вСрсия: https://reviewgate.dev/ru/
  • License: see LICENSE β€” free, including commercial use

This repository distributes the releases. The source is not published; the binaries below are the same artifacts served from the site.


Why it is not another AI reviewer

A general-purpose model tells you about SQL injection in the abstract. ReviewGate reads the agreements your team actually wrote β€” the ADRs, the conventions, the rules in .reviewgate/config.yml β€” and reports the places where this change breaks them. A finding that quotes your own rule is one a reviewer can act on; a finding that quotes a textbook is one they scroll past.

The review runs in three places, on the same rules and the same judge:

WhereWhat it does
CLIreviewgate review over staged, uncommitted or committed changes
Pre-push hookrefuses a git push that carries blocking findings
MCP serverthe coding agent calls the review itself, before the request exists
Bot on GitLab / GitHubsummary, inline findings, one-click fixes, a gate on the merge

Two passes under the hood: a cheap generator looks for problems, a stronger judge refutes them against the code, and only what survives is published. That is what keeps the noise down β€” the numbers behind it are on the site.

Install

CLI β€” one file, no Node and no Docker

Download the archive for your platform from the latest release, unpack, put it on your PATH:

Terminal
curl -fsSLO https://github.com/ReviewGate/reviewgate/releases/latest/download/reviewgate-latest-linux-x64.xz
xz -d reviewgate-latest-linux-x64.xz
chmod +x reviewgate-latest-linux-x64 && sudo mv reviewgate-latest-linux-x64 /usr/local/bin/reviewgate
reviewgate doctor

Platforms: darwin-arm64, darwin-x64, linux-x64, linux-x64-musl, linux-arm64, win-x64. Checksums are published with every release as SHA256SUMS.

The same files are served from the site β€” https://reviewgate.dev/docs/agents lists every platform with its download command β€” use whichever is faster for you.

Claude Code plugin

Two commands wire everything at once: the MCP tools (get_team_rules, review_changes), a pre-push review gate, and the skills that make the agent review its changes before calling work done. The plugin needs the CLI binary from the section above.

Code
/plugin marketplace add ReviewGate/reviewgate
/plugin install reviewgate@reviewgate

Or from the shell: claude plugin marketplace add ReviewGate/reviewgate, then claude plugin install reviewgate@reviewgate.

Bot on a pull request

Terminal
curl -fsSLO https://reviewgate.dev/docker-compose.yml
docker compose up -d

The image is registry.reviewgate.dev/reviewgate-bot, mirrored on Docker Hub as novohudonossor/reviewgate-bot. Full walkthrough, webhook setup and the list of environment variables: https://reviewgate.dev/docs/install

Where the data goes

Nowhere. The bot and the CLI talk to the model provider you configured, on your key, from your network. There is no telemetry, no call home and no vendor account. Review metadata β€” counts, severities, tokens spent β€” stays in your own database, and source code is never written to logs or to disk.

How that is arranged, and how to verify it yourself: https://reviewgate.dev/security

Support

The product is free and stays free. If it earns its place in your pipeline, the most useful thing you can do is use it and tell a colleague: https://reviewgate.dev/donate

Questions and feedback: @ReviewGate on Telegram.

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Reviewgate

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "reviewgate": { "command": "npx", "args": ["-y", "ReviewGate/reviewgate"] } }

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Technical Specs & Signals

CategoryπŸ”„Version Control
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeDocker
Last updatedSep 7, 2026
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37Quality signal: Fair Β· 37/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools19/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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