GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者による説明(英語の原文)
Pre-flight checks for open-source contributions: is this GitHub issue actually landable?
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"greenlight": {
"command": "npx",
"args": [
"-y",
"@reneturcios/greenlight",
"mcp"
]
}
}
}ターミナルでこれを実行します
claude mcp add greenlight -- npx -y @reneturcios/greenlight mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"greenlight": {
"command": "npx",
"args": [
"-y",
"@reneturcios/greenlight",
"mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"greenlight": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/greenlight",
"mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月6日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント CloudCorpRecords で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.26.0)がレジストリに届いたのは昨日です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.js, Dockerも必要です。
同じカテゴリには:GitHub, Desktop Commander, Cloudflare MCP
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Greenlight is the pre-flight and coordination layer for open-source contribution: the software that stands between an outside contributor (increasingly an AI agent) and the maintainers of a public repo, and answers the questions no other tool answers. Can I contribute here at all? Is this issue secretly taken? What are the house rules? Who else is racing me? And for maintainers: who is flooding my queue, and what is safe to merge?
npx @reneturcios/greenlight check <issue-url>
Follow the venture money and you will see where it is not going. Cognition (Devin) raised about $2B at a $48B valuation, and Factory raised $200M at a $5B valuation, to run autonomous coding agents *inside* enterprises' own repos. CodeRabbit raised $88M (valued near $550M), Graphite raised a $52M Series B before being acquired by Cursor, and Greptile raised a $25M Series A, all reviewing a team's *own* pull requests. OpenHands is an agent runtime. Every funded player assumes you are inside the org.
Nobody owns the boundary. No VC-backed tool answers the outside contributor's questions: can I contribute here, is this issue secretly taken, what are this repo's gates and AI policies, who else is racing me. And no VC-backed tool answers the maintainer's questions: which of these 30 open PRs are duplicates, who is claiming what, which claims have gone stale, which agent-written PRs are safe to merge. Greenlight is that layer, built from running real contribution campaigns through it every week.
AI made code cheap. Contribution coordination is now the bottleneck, and it breaks in specific, repeatable ways:
These are coordination problems, not coding problems. The code agents keep getting better; the boundary keeps getting messier. Greenlight works the boundary.
Three layers, from decide to solve to coordinate:
| Layer | Question it answers | Flagship commands |
|---|---|---|
| Decide | Is this issue mine to take? Is this repo worth my time? | check, scan, friction, xray, racecheck, wave, preflight |
| Solve | Will my PR pass? What broke? What do I do next? | ci-prep, ci, review, brief, verify, autopilot, babysit, evidence |
| Coordinate | Who is working on what, and who resolves conflicts? | claim (+ Claim Protocol), guard, radar, digest, passport |
check reads an issue, its comments, linked and mentioned PRs (timeline plus search plus comment references), and the repo's rules, then answers in plain words: GO, RISKY, TAKEN, GATED, or STALE. scan ranks a repo's open issues so you pick a winnable one first. friction scores a repo 0 to 100 on how hard it really is to get a PR merged, with every gate quoting the file its evidence came from. xray (Timeline X-Ray) deep-verifies candidates against their issue timelines before you write a line, catching hidden in-flight PRs including reporter-owned fix PRs; scan --deep demotes anything taken before it shows you the list. racecheck (Keyword Race Check) catches the race X-Ray cannot see: an open PR fixing the same problem that never links the issue, found by the issue's problem keywords (filenames, identifiers, distinctive terms) instead of links, with RACE / SUSPECT / CLEAR verdicts and quoted keyword evidence; scan --deep and xray consult it automatically. The v0.20.1 precision pass keeps it honest on real repos: GitHub label names, URL path segments, and repo template boilerplate (via document-frequency suppression over the scanned PR queue) never count as evidence, RACE-by-terms requires title-derived terms, and a shared changed file needs a distinctive co-hit, so adjacency reads SUSPECT, not RACE. wave turns the Agent Policy Index into a build queue in one command: winnable open repos, x-rayed starter issues, behavioral gates excluded.ci-prep runs a repo's own pull-request checks locally before you push (tests, lint, typecheck, plus conventions like changesets, commit format, DCO), so avoidable CI failures never appear in front of a maintainer. ci triages red PRs into pre-existing vs likely-yours vs external-blocker against base-branch history. review classifies every review thread as likely-real, likely-noise, or needs-decision and drafts your replies. verify reports the honest red-green test delta of your change. autopilot verifies bot findings against the code at head and fixes the mechanical items (DCO surgery, conflict re-merges, formatting) itself. brief assembles a verified one-screen brief for any PR: change shape by area and risk, CI triaged against base-branch history, findings classified real vs false-positive with evidence, test evidence present or explicitly marked absent, merge blockers, and a one-line look-at-this-first. babysit watches your open PRs and reports one prioritized action list.claim posts a protocol claim (expiring lease, public queue, heartbeats; full spec in protocol/SPEC.md), with a hosted app client option via --via-api. guard analyzes an incoming PR for a maintainer: competing fix, prior claims, missing artifacts, first-time contributor. digest reports a repo's PR races, claimed-by-other conflicts, stale claims, and assignment-gate conflicts. radar scans the whole open-PR queue and clusters competing or duplicate PRs with evidence per cluster and a suggested keep, labeled a heuristic, never a verdict. passport renders a contributor's merged work plus claim record.Every verdict and every report cites its evidence: the quoted policy line, the claim comment URL, the PR number, the failing check. Nothing is asserted without a source.
check before you spend an evening on an issue. Run scan when you are picking what to work on. Run ci-prep before you push.init --agent claude-code, also cursor, copilot, windsurf, cline) installs the MCP config plus the one behavior rule: check Greenlight before opening a PR. Agents waste the most tokens fixing already-taken issues; 33 MCP tools make the whole engine available mid-run.guard on each incoming PR, radar across the whole open queue, digest for the weekly triage, and the roadmap below for the control room: stale-claim sweeps, policy enforcement, AI-PR filtering.@reneturcios/greenlight), the MCP Registry, and GHCR (ghcr.io/cloudcorprecords/greenlight), plus Docker and direct MCP stdio.data/friction-index.json) and the Agent Policy Index (505 repos, 127 gated, 19 agent bans, published at docs/policy.html), both built from real campaign field work, not scraped guesses.*The 59-second demo: real issue checks on real repos, an AI-caught hidden claim, a GATED agent ban, campaign scouting, and the claims babysitter. Full narrated video.*
npx @reneturcios/greenlight check <issue-url>
Set up your AI coding tool and verify the setup:
npx @reneturcios/greenlight init --agent claude-code # one-command MCP setup (cursor, copilot, windsurf, cline work too)
npx @reneturcios/greenlight doctor # checks Node version, token, GitHub quota, cache
Or from source:
npm install
npm run build
Set GITHUB_TOKEN (a classic personal access token, no scopes needed for public repos) to raise the GitHub API rate limit from 60 to 5000 requests per hour. Greenlight caches API responses under ~/.cache/greenlight.
Run the MCP server with npx @reneturcios/greenlight mcp (stdio), or point your agent at the greenlight command with the single argument mcp.
Greenlight also ships as a container image on GHCR: ghcr.io/cloudcorprecords/greenlight.
Use it as a stdio MCP server:
docker run -i ghcr.io/cloudcorprecords/greenlight
Any CLI command can be passed after the image name instead of the default mcp argument:
docker run ghcr.io/cloudcorprecords/greenlight check <issue-url>
docker run ghcr.io/cloudcorprecords/greenlight --version
One command sets it up:
npx @reneturcios/greenlight init --agent claude-code
(also cursor, copilot, windsurf, cline; repeat --agent for more than one). Init copies the MCP config into your project and installs the workflow instruction snippet that teaches your agent the one behavior rule: check Greenlight before it opens a PR. Prefer doing it by hand? The integrations/ drop-in pack has ready-to-copy MCP configs plus the same snippets. Then verify with a "list your MCP tools" prompt; the greenlight server carries 33 tools (see the list below).
# One-command setup for your AI coding tool (cursor, copilot, windsurf, cline work too)
npx @reneturcios/greenlight init --agent claude-code
npx @reneturcios/greenlight doctor
npx @reneturcios/greenlight help check npx @reneturcios/greenlight --version
npx @reneturcios/greenlight check https://github.com/batrapulkit/squidbrake/issues/74
npx @reneturcios/greenlight scan PrefectHQ/fastmcp
npx @reneturcios/greenlight xray usebruno/bruno --issues 8149,9319 npx @reneturcios/greenlight scan
冒頭だけを表示しています。続きはリポジトリで読めます