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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★ 0i在你的电脑上运行
注册名称io.github.CloudCorpRecords/tracewatch

安装方法

What it does

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

  • Connects 在你的电脑上运行
  • Account or key No key needed
  • Category 网络安全

安装

选择你使用的 AI 应用,然后复制设置。

通过 3/3 项检查 · 在你的电脑上运行

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude,但需要先准备

需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 打开电脑版 Claude 应用的设置文件

    SettingsDeveloperEdit Config

  3. 粘贴这些设置并保存文件

    {
      "mcpServers": {
        "tracewatch": {
          "command": "npx",
          "args": [
            "-y",
            "@reneturcios/tracewatch",
            "mcp"
          ]
        }
      }
    }
  4. 退出 Claude 再重新打开

  5. 试一试

    用 Tracewatch 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 Tracewatch,或回答中出现 Tracewatch 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 Tracewatch

Tracewatch 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器

你可以改用这些方式

A · 使用能连接 Tracewatch 的应用

  • 需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
  • 需要先在电脑上安装 Node.js(只需一次)
  • 需要先在电脑上安装 Node.js(只需一次)
  • 需要先在电脑上安装 Node.js(只需一次)

B · 网络安全 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code,但需要先准备

需要先在电脑上安装 Node.js(只需一次)

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  3. 粘贴这条命令并按 Enter

    claude mcp add --scope user tracewatch -- npx -y @reneturcios/tracewatch mcp
  4. 在 Claude Code 中输入 /mcp

    应能看到 Tracewatch 在列表中并显示已连接

  5. 试一试

    用 Tracewatch 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 Tracewatch,或回答中出现 Tracewatch 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor,但需要先准备

需要先在电脑上安装 Node.js(只需一次)

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  3. 在 Cursor 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 Tracewatch 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 Tracewatch,或回答中出现 Tracewatch 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code,但需要先准备

需要先在电脑上安装 Node.js(只需一次)

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  3. 在 VS Code 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 Tracewatch 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 Tracewatch,或回答中出现 Tracewatch 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Tracewatch 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

安装在电脑上

Claude Code

claude mcp add --scope user tracewatch -- npx -y @reneturcios/tracewatch mcp

Claude Desktop (claude_desktop_config.json)

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

Cursor (~/.cursor/mcp.json)

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

VS Code (mcp.json)

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

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。

一览

每周下载量i
116/周
连接方式
在你的电脑上运行
最新版本i
0.2.2
发布到注册中心i
2026年10月26日
代码最后更新i
2026年10月26日
作者
CloudCorpRecords
软件包
npm: @reneturcios/tracewatch
oci: ghcr.io/cloudcorprecords/tracewatch:0.2.2
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

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12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

  • ✓ 通过

    仍在维护

    代码最后更新于17天前

  • ✓ 通过

    有许可证

    使用 MIT

  • – 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

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

用户评价

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与“网络安全”中的其他服务器比较i

  • 星标数多于此分类中其他 1043 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1043 个服务器的 68% 更新
  • 基础检查结果等于或优于此分类中其他 1043 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 3 项适用的基础检查中通过了 3 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17天前,最新版本(0.2.2)于17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:Robin: AI-Powered Dark Web OSINT, HOL Guard, SonarQube MCP Server

同类别的其他选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ 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

Robin: AI-Powered Dark Web OSINT

Dark web OSINT over Tor: search onion engines, scrape pages, report with your own model.

作者:apurvsinghgautam正在增长★ 796140天前更新

在你的电脑上运行

HOL Guard

Local-first AI agent security evidence and approval workflows through HOL Guard's stdio MCP server.

作者:hashgraph-online广泛使用↓ 7083/周★ 10917天前更新

在你的电脑上运行

SonarQube MCP Server

Analyze code quality and security with SonarQube Server or Cloud directly in AI assistants.

作者:SonarSource正在增长★ 686昨天更新

在你的电脑上运行

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).