原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Greenlight

作者:CloudCorpRecords版本 0.26.0i★ –i在你的电脑上运行
注册名称io.github.CloudCorpRecords/greenlight

安装

概览

作者提供的说明(英文原文)

Pre-flight checks for open-source contributions: is this GitHub issue actually landable?

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "greenlight": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/greenlight",
        "mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add greenlight -- npx -y @reneturcios/greenlight mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "greenlight": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/greenlight",
        "mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "greenlight": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/greenlight",
        "mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 CloudCorpRecords 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 1385 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1385 个服务器的 98% 更新
  • 基础检查结果等于或优于此分类中其他 1385 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Greenlight 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.26.0)于昨天进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js, Docker。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT3天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT15天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Greenlight

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?

Quickstart

npx @reneturcios/greenlight check <issue-url>

Why this layer exists

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.

The problem

AI made code cheap. Contribution coordination is now the bottleneck, and it breaks in specific, repeatable ways:

  • Hidden competition. Issue list views lie. In a hand-vetted focus session on usebruno/bruno, 6 of 7 promising issues were secretly taken by PRs visible only in the issues' timelines, not in the list view or search results. You can spend a weekend on work that was already done.
  • Gates and bans. Greenlight's own Agent Policy Index now tracks 505 repos: 127 of them (25%) carry contribution gates, and 19 ban agent contributions outright. Whole repos (nuxt, uv, Gradio, Activepieces) have closed their doors to outside PRs entirely. Nobody told you; it was in AGENTS.md.
  • Duplicate AI PRs. When several contributors (human or agent) race the same issue, maintainers get three overlapping PRs and no way to arbitrate. GitHub has no claim system, only comments.
  • House rules everywhere. CLAs, DCO sign-off, changesets, commit formats, assignment requests. Every repo invents its own, hides them in different files, and rejects your PR on the technicality.

These are coordination problems, not coding problems. The code agents keep getting better; the boundary keeps getting messier. Greenlight works the boundary.

What Greenlight does

Three layers, from decide to solve to coordinate:

LayerQuestion it answersFlagship commands
DecideIs this issue mine to take? Is this repo worth my time?check, scan, friction, xray, racecheck, wave, preflight
SolveWill my PR pass? What broke? What do I do next?ci-prep, ci, review, brief, verify, autopilot, babysit, evidence
CoordinateWho is working on what, and who resolves conflicts?claim (+ Claim Protocol), guard, radar, digest, passport
  • Decide. 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.
  • Solve. 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.
  • Coordinate. 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.

Who it is for

  • Contributors (human). Run 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.
  • AI agents and coding tools. One command (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.
  • Maintainers. 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.

Proof, stated plainly

  • 1268 tests, all passing, including a fixture corpus pinned to real campaign cases (a taken issue, a weak PR mention, claim-first gates, scoped claims, half-shipped issues, stale claims, paused-PR workflows).
  • Dogfooded on real campaigns: the toolkit has authored 80+ pull requests across dozens of public open-source repos. Every feature exists because a real contribution died without it.
  • Distributed everywhere the audience already looks: npm (@reneturcios/greenlight), the MCP Registry, and GHCR (ghcr.io/cloudcorprecords/greenlight), plus Docker and direct MCP stdio.
  • Two living datasets ship with it: the Contribution Friction Index (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.

Watch it work

*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.*

Install

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.

Run it with Docker

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

Use it inside your AI coding tool

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).

CLI

# One-command setup for your AI coding tool (cursor, copilot, windsurf, cline work too)

npx @reneturcios/greenlight init --agent claude-code

Verify the setup: Node version, token, GitHub quota, cache (exit 1 when anything fails)

npx @reneturcios/greenlight doctor

Help: overview, one command's flags, or the version

npx @reneturcios/greenlight help check npx @reneturcios/greenlight --version

Verdict for one issue

npx @reneturcios/greenlight check https://github.com/batrapulkit/squidbrake/issues/74

[GO] batrapulkit/squidbrake#74

Taint: tell the approver when an agent edits its own setup right after reading outside content

- open, unassigned, no linked PRs, no claim signals, no blocking gates

Rank a repo's starter issues, GO first (falls back to recent open

unassigned issues when the repo does not use those labels; --no-fallback to opt out)

npx @reneturcios/greenlight scan PrefectHQ/fastmcp

Deep-verify candidates against their timelines first (catches hidden in-flight PRs)

npx @reneturcios/greenlight xray usebruno/bruno --issues 8149,9319 npx @reneturcios/greenlight scan

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx