GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Beschreibung vom Entwickler (englisches Original)
Pre-flight checks for open-source contributions: is this GitHub issue actually landable?
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"greenlight": {
"command": "npx",
"args": [
"-y",
"@reneturcios/greenlight",
"mcp"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add greenlight -- npx -y @reneturcios/greenlight mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"greenlight": {
"command": "npx",
"args": [
"-y",
"@reneturcios/greenlight",
"mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"greenlight": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/greenlight",
"mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto CloudCorpRecords bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.26.0) kam gestern in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js, Docker auf deinem Computer.
In derselben Kategorie: GitHub, Desktop Commander, Cloudflare MCP
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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
Nur der Anfang wird gezeigt; den Rest findest du im Repo