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

Tracewatch

作者:CloudCorpRecords版本 0.2.2i★ –i在你的电脑上运行
注册名称io.github.CloudCorpRecords/tracewatch

安装

概览

作者提供的说明(英文原文)

Observability, tracking, and root-cause for Security Wave scans and findings.

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: 其他

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

在终端中运行这条命令

claude mcp add tracewatch -- npx -y @reneturcios/tracewatch 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": {
    "tracewatch": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/tracewatch",
        "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": {
    "tracewatch": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/tracewatch",
        "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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32461 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32461 个服务器的 75% 更新
  • 基础检查结果等于或优于此分类中其他 32461 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

Tracewatch 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(0.2.2)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:Spec Driven Development, Remote Desktop Commander, dotnet-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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

dotnet-mcp

作者:Skymly

MCP server for .NET symbols, XAML, source generators, and restricted workspace edit

在你的电脑上运行今天更新
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。

tracewatch

Observability, tracking, and root-cause for the Security Wave.

The Security Wave tools (hookcheck, actionpin, injectcheck, mcpvet, depguard, flowcheck) answer "what is wrong right now, in this one scan." tracewatch is the wave's memory and stopwatch. It ingests their JSON reports over time and answers the questions an incident actually turns on:

  • What changed since the last scan? Did a pin silently regress to a mutable tag? Did the ref under an already-pinned action move? That move is the tj-actions shape from March 2025: a tag retargeted under every repo that trusted it, invisible to anyone who only ever ran one scan.
  • Where did this finding come from? tracewatch blames a finding to the commit that introduced it (git pickaxe on the finding's own content) and to the pull request that carried it, and labels every statement confirmed, inferred, or not established.
  • How fast do we notice? Watch mode scans new issues, PRs, files, and tree changes on arrival and records time-to-detect for each one, so "early detection" is a measured number. The comparison point matters: hosted AI firewalls detect at prompt time, after the agent has already read the content. tracewatch detects at rest and on arrival, before any agent session exists.
  • Is the estate getting better? Verdict trends, open findings by tool and severity, mean time open for resolved findings, and detection latency stats, per repo, over the whole scan history.

Deterministic, offline-first, local store you can grep. No hosted backend, no account, no telemetry.

Install

npx -y @reneturcios/tracewatch --version

npm install -g @reneturcios/tracewatch docker run -i --rm ghcr.io/cloudcorprecords/tracewatch mcp

Quick start

# scan a repo with all six tools and start tracking it

tracewatch ingest ~/src/myrepo

what changed since the previous scan?

tracewatch diff myrepo

where did this finding come from?

tracewatch blame myrepo --finding tw_0123456789abcdef

health over time

tracewatch report myrepo

watch a directory and scan new content on arrival

tracewatch watch ~/src/myrepo --interval 30

What it tracks

Every ingest stores one scan record (timestamp, tool versions, verdicts, git HEAD) plus one observation per finding. Findings carry stable IDs: a hash of tool, rule, normalized location, and a content signature. The same finding keeps its identity across scans and tool versions; a content edit keeps the identity and changes the ID version, which is what diff reports as CHANGED.

Diff groups: NEW, RESOLVED, CHANGED (with field-level old to new), verdict moves, and REF EVENTS. A ref event fires whenever an action's ref or classification moves, with both values spelled out:

  • pin-regression: PINNED to MUTABLE or BRANCH
  • pin-improvement: MUTABLE or BRANCH to PINNED
  • ref-move: the ref changed inside one classification (for a pinned action, the SHA itself moved)

Blame (root cause)

tracewatch blame myrepo --rule CURL-PIPE-SH --file package.json

tracewatch blame myrepo --finding tw_0123456789abcdef --json

Evidence is labeled, never blended:

  • CONFIRMED: the introducing commit from git log -S on the finding's needle in your local clone; the current-line commit from git blame; the PR association from the GitHub API (commits/{sha}/pulls) when the clone has a GitHub remote; ref history and first/last seen from the store itself.
  • INFERRED: circumstantial statements, written as inferences (for example, when the introducing commit and the current-line commit differ, the line was rewritten later without introducing the content).
  • NOT ESTABLISHED: whatever could not be proven, with the reason (no clone recorded, no GitHub remote, API unreachable). Provenance is never guessed to fill the page.

Watch and time-to-detect

tracewatch watch ~/src/myrepo --interval 60 --alerts alerts.jsonl

tracewatch watch owner/repo --path ~/src/myrepo-clone --interval 60

Local mode polls a directory: new or changed text files are scanned with injectcheck the poll they appear in; a git HEAD move triggers a full ingest plus diff. GitHub mode polls an owner/repo slug: new issues and PRs are scanned on arrival, HEAD moves are recorded (and scanned when you pass a local clone with --path). Every detection writes a record with time-to-detect = detection time minus the content's own creation time (issue created_at, commit time, file birth time). State checkpoints after every cycle, so a restarted watch resumes without re-alerting history. Alerts stream as JSONL to stdout and to the --alerts file.

Polling is the portable fallback. The fastest path is event-driven, in CI:

name: tracewatch-issues

on: issues: types: [opened, edited] pull_request: types: [opened, edited, synchronize] permissions: contents: read jobs: scan-new-content: runs-on: ubuntu-latest steps:

  • uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
  • uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4 with: node-version: 24
  • name: Scan the new issue or PR body on arrival env: BODY: ${{ github.event.issue.body || github.event.pull_request.body }} run: | printf '%s' "$BODY" > /tmp/body.md npx -y @reneturcios/injectcheck file /tmp/body.md --json > /tmp/report.json npx -y @reneturcios/tracewatch import ${{ github.repository }} --report injectcheck=/tmp/report.json

Known limit, stated plainly: GitHub watch mode reads through the local ghapi helper, whose output truncates long responses; an issue poll that cannot be parsed in full is logged as a watch note and retried next cycle rather than partially trusted. The CI pattern above has no such limit and is the recommended production path for issue scanning.

Reports

tracewatch report myrepo          # human

tracewatch report myrepo --json # machine tracewatch findings myrepo --tool hookcheck --status open

The health report carries the verdict trend across every scan, open findings by tool and severity, resolved count, mean time open for resolved findings (first-seen scan to the scan where the finding disappeared), all ref events, and detection latency stats (count, median, max, by kind).

MCP

tracewatch mcp serves a stdio MCP server with seven tools:

ToolWhat it does
ingest_scanRun the six tools on a local path and store the scan
diff_scansNEW / RESOLVED / CHANGED, verdict moves, ref events between two scans
finding_provenanceIntroducing commit, current-line commit, PR, ref history for one finding
repo_healthVerdict trend, open findings, mean time open, detection latency
watch_statusEvery tracked repo: scans, last scan, open findings, median TTD
list_findingsTracked findings filtered by tool, severity, status
explain_findingThe full evidence bundle for one finding, written to act on

Store

Append-only JSONL under ~/.tracewatch (override with --store or TRACEWATCH_STORE): scans.jsonl, findings.jsonl, detections.jsonl, alerts.jsonl, plus watch-state.json checkpoints. Plain text on purpose. Finding status is derived from the observation series on every read, never stored as mutable state, so the store cannot disagree with itself. Identical store state always renders identical diff and report output.

Exit codes: 0 success or no changes, 1 a diff found changes, 2 usage error or total failure, 141 the reader closed the output pipe before the report was delivered.

Honesty rules

  • A verdict is a scan result, never a safety claim. tracewatch reports what the six tools found and when; it does not certify a repo clean.
  • Time-to-detect is measured against the content's own timestamps and recorded per detection; the report shows the distribution, not a best case.
  • Blame separates confirmed evidence from inference and says "not established" out loud.

depguard scope note

depguard findings only exist relative to a comparison: a dependency was added, removed, or changed against a base. tracewatch preserves that context end to end. Every depguard finding carries the base (a git ref, a directory path, or none), the head path, the run mode, and its per-finding change kind and version move, and the scan record carries the same context at scan level, so a diff can say what changed against what.

Direct-run ingest (tracewatch ingest) runs depguard in its offline snapshot mode against the bare target, which surfaces manifest and lockfile findings (including typosquat suspects) with base recorded as none. A full base/head comparison needs a base the bare target does not name: run depguard with --base or --base-path yourself and import the report (tracewatch import --report depguard= ), and the diff context lands in the store with the findings.

MIT. Part of the Security Wave: hookcheck (persistence hooks), actionpin (Actions pinning), injectcheck (prompt injection in agent-read content), mcpvet (MCP server and skill vetting), depguard (dependency change guard), flowcheck (workflow permission hardening), tracewatch (observability and root cause).

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