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

Flowcheck

作者:CloudCorpRecords版本 0.1.2i★ –i在你的电脑上运行
注册名称io.github.CloudCorpRecords/flowcheck

安装

概览

作者提供的说明(英文原文)

Least-privilege auditor for GitHub Actions workflows: permissions, triggers, secrets.

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

在终端中运行这条命令

claude mcp add flowcheck -- npx -y @reneturcios/flowcheck 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": {
    "flowcheck": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/flowcheck",
        "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": {
    "flowcheck": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/flowcheck",
        "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 1389 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1389 个服务器的 79% 更新
  • 基础检查结果等于或优于此分类中其他 1389 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

Flowcheck 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(0.1.2)于11天前进入注册中心。

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。

flowcheck

The default GitHub token can write to your repo. Most workflows never check.

Every GitHub Actions workflow runs with a GITHUB_TOKEN. Repos created with legacy settings give that token write access to nearly everything, and a workflow with no permissions: block inherits whatever the repo default is. Add the trigger shapes that check out pull request code inside a privileged context, secrets passed wholesale to reusable workflows, and caches written by PR runs and read back by release runs, and the workflow file itself becomes the attack surface. The 2025 tj-actions compromise showed how fast a trusted action can turn; "pwn request" write-ups have shown the same for pull_request_target checkouts of PR heads for years.

flowcheck audits every workflow in a repo for least-privilege problems, shows the evidence per file, job, and line, and emits a hardened permissions block per job, inferred from what the job's steps actually do, that you can paste in.

Why this exists

GitHub Actions are the second largest confirmed open source supply-chain attack surface of the last year, behind only npm. The failures are rarely exotic: a missing permissions block, one write-all, a checkout of ${{ github.event.pull_request.head.sha }} under pull_request_target, a self-hosted runner answering PR triggers. All of them are visible in the YAML, statically, before anything runs. flowcheck reads the YAML with a real parser (anchors, merge keys, and block scalars included), never executes anything in the scanned repo, and is callable by agents through MCP so the audit can run inside contribution and release workflows, not just by hand.

Sibling tools ask different questions: actionpin asks whether action refs are pinned to SHAs. flowcheck asks whether permissions and triggers are least-privilege. They share no code.

What it checks

ruleseveritywhat it means
FC-PERMS-WRITE-ALLcritical (top level), high (job)permissions: write-all, every scope writable by the token.
FC-PR-HEAD-CHECKOUTcriticalpull_request_target, workflow_run, or issue_comment trigger combined with a checkout whose ref points at the PR head. Privileged context, untrusted code.
FC-NO-TOP-PERMISSIONShigh or mediumNo top-level permissions: block. Jobs inherit the repo default token, which is write-all on many repos.
FC-JOB-GRANT-BROADmedium (high for id-token)A job (or the top-level block it inherits) grants a write scope no step in the job needs, judged against the inferred needs.
FC-SECRETS-INHERIThigh or mediumA reusable workflow call passes secrets: inherit, handing every repo secret to the called workflow.
FC-REUSABLE-MISSINGhighA job calls a local reusable workflow (./.github/workflows/...) that does not exist in the estate. GitHub fails the caller at runtime.
FC-REUSABLE-NOT-CALLABLEhighA job calls a local workflow as reusable, but that file declares no workflow_call trigger, so it cannot be called.
FC-REUSABLE-INPUTSmediumA caller passes an input the callee does not declare in workflow_call inputs, or omits a required input that has no default.
FC-REUSABLE-SECRETSmediumA caller does not pass a secret the callee declares required: true in workflow_call secrets (and does not use secrets: inherit).

Reusable graph checks resolve local calls only: a remote reusable call (owner/repo/.github/workflows/... at a ref) cannot be read from the local estate and is not flagged by the graph rules. | FC-SELF-HOSTED-PR | high | A self-hosted runner in a workflow with PR-reachable triggers. Fork code on your machine and your network. | | FC-SECRETS-ON-PR | medium | Secret references in a pull_request workflow. Same-repo PR branches run with secrets before merge. | | FC-CACHE-POISON | medium | A cache step under a PR trigger in a workflow that also has a privileged (write) consumer: a poisoned cache entry can execute inside a later privileged run. | | FC-ARTIFACT-WORKSPACE | medium | actions/upload-artifact uploading the whole workspace (path: ., **, or no path), which routinely carries .git, config, and spilled secret material. | | FC-PERMS-READ-ALL | low | permissions: read-all instead of an explicit scope list. | | FC-NO-TIMEOUT | low | A job with no timeout-minutes. The platform default is 360 minutes. | | FC-NO-CONCURRENCY | low | A deploy-shaped job (release, publish, image push, or an environment) with no concurrency guard at job or workflow level. | | FC-DISPATCH-INPUT-INJECTION | low | A workflow_dispatch input interpolated directly into a run step, where free text becomes shell. | | FC-PARSE-ERROR | medium | The workflow YAML does not parse cleanly. |

Verdict rules:

  • EXPOSED: at least one critical or high finding. Exit code 1.
  • REVIEW: only medium or low findings. Exit code 1.
  • HARDENED: no findings. Exit code 0.
  • Usage errors exit with code 2. That includes a target that is not a directory or a single workflow file: a FIFO, a device, a regular non-workflow file, or a nonexistent path gets a stderr error and no verdict, never a HARDENED over zero files. A reader that closes the output pipe early makes the process exit 141, never 0.

The hardened plan

For every job, flowcheck infers the least privilege its steps need:

step shapeinferred grant
actions/checkoutcontents: read
release creation (gh release create, softprops/action-gh-release)contents: write
image push (docker/build-push-action with push, docker push, buildx --push)packages: write
PR writes (gh pr create, gh pr comment, labeler, stale)pull-requests: write
issue writes (gh issue comment and friends)issues: write
Pages deploy (actions/deploy-pages)pages: write, id-token: write
OIDC sign-in (AWS, Azure, Google auth actions, explicit OIDC use in scripts)id-token: write
build provenance (actions/attest-build-provenance)attestations: write, id-token: write
no token use at allpermissions: {}

audit prints the plan next to the findings; harden prints the per-job blocks plus a top-level union block. Nothing is written to your files: the plan is output, you paste it.

Usage

CLI
# Audit the current repo

npx @reneturcios/flowcheck audit

Audit another path, machine readable

npx @reneturcios/flowcheck audit ~/src/my-repo --json

Just the hardening plan

npx @reneturcios/flowcheck harden ~/src/my-repo

Example output:

flowcheck audit .: EXPOSED

workflows: 2, jobs: 3, findings: 2 (critical: 1, high: 1, medium: 0, low: 0) [CRITICAL] .github/workflows/pr.yml:14 FC-PR-HEAD-CHECKOUT (job inspect) Privileged trigger context (pull_request_target) combined with a checkout of the PR head (...) [HIGH] .github/workflows/pr.yml:1 FC-NO-TOP-PERMISSIONS No top-level permissions block. ... EXPOSED: at least one critical or high finding. ...

Auditing needs no credentials and no network. Estate caps are explicit, never silent: at most 500 workflow files per run and 2 MiB per file, and the report's caps field plus a note say when a cap was hit and what was not scanned.

MCP server

Add to your MCP client config:

{

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

Tools: audit_workflows(path) returns the full audit report as JSON. harden_plan(path) returns the per-job hardened permissions blocks, the top-level union block, and the findings they answer.

Limits, stated plainly

  • Permission inference is heuristic. It recognizes the step shapes in the table above plus common gh CLI and script patterns. An unknown third-party action may need more (or less) than the plan suggests; the plan is a starting point a human reviews, not a proof.
  • Broad-grant findings are calibrated for invisible consumers: when a job contains a step whose token use cannot be seen in the workflow file (an unknown third-party action, a local composite action, or an actions/github-script step, which is arbitrary JavaScript that often delegates to repo files), the finding is reported at low severity with that caveat instead of medium or high. flowcheck does not follow local composite action files or scripts a step delegates to in v0.1.1.
  • The PR-head checkout rule needs an explicit ref expression pointing at the head (pull_request.head, head_ref, workflow_run.head). A checkout with no ref under pull_request_target checks out the base branch, which is the safe shape, and is not flagged. Indirect head checkouts assembled through env vars or outputs are not traced.
  • Self-hosted detection sees the literal self-hosted label in runs-on; runner groups named without the label are not recognized.
  • Reusable workflow jobs are planned from the call site only; the called workflow's own steps are a separate audit target.
  • Matrix-generated jobs are audited as written, once, not per matrix combination.
  • The secrets rule counts references under pull_request; it does not try to prove a specific secret reaches a specific step.
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