Robin: AI-Powered Dark Web OSINT
Dark web OSINT over Tor: search onion engines, scrape pages, report with your own model.
Description from the maker (original English)
Observability, tracking, and root-cause for Security Wave scans and findings.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Node.js
SettingsDeveloperEdit Config
{
"mcpServers": {
"tracewatch": {
"command": "npx",
"args": [
"-y",
"@reneturcios/tracewatch",
"mcp"
]
}
}
}Use Tracewatch and tell me what you can do for me, then show me one thing✓ If Claude says it is using Tracewatch or shows a Tracewatch tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Tracewatch yet
Tracewatch runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect Tracewatch
B · Others in Cybersecurity that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add tracewatch -- npx -y @reneturcios/tracewatch mcpYou should see Tracewatch listed as connected
Use Tracewatch and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Tracewatch or shows a Tracewatch tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Use Tracewatch and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Tracewatch or shows a Tracewatch tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Use Tracewatch and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Tracewatch or shows a Tracewatch tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Claude Code
claude mcp add tracewatch -- npx -y @reneturcios/tracewatch mcpClaude 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"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
npm: @reneturcios/tracewatchoci: ghcr.io/cloudcorprecords/tracewatch:0.2.2Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
Code last changed 16 days ago
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed 16 days ago, and the latest version (0.2.2) reached the registry 16 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Robin: AI-Powered Dark Web OSINT, HOL Guard, UniFi Network MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Dark web OSINT over Tor: search onion engines, scrape pages, report with your own model.
Manage UniFi Network devices, clients, firewall, VLANs, VPNs, and more via MCP.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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:
Deterministic, offline-first, local store you can grep. No hosted backend, no account, no telemetry.
npx -y @reneturcios/tracewatch --version
npm install -g @reneturcios/tracewatch docker run -i --rm ghcr.io/cloudcorprecords/tracewatch mcp
# scan a repo with all six tools and start tracking it
tracewatch ingest ~/src/myrepo
tracewatch diff myrepo
tracewatch blame myrepo --finding tw_0123456789abcdef
tracewatch report myrepo
tracewatch watch ~/src/myrepo --interval 30
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:
tracewatch blame myrepo --rule CURL-PIPE-SH --file package.json
tracewatch blame myrepo --finding tw_0123456789abcdef --json
Evidence is labeled, never blended:
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.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:
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.
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).
tracewatch mcp serves a stdio MCP server with seven tools:
| Tool | What it does |
|---|---|
| ingest_scan | Run the six tools on a local path and store the scan |
| diff_scans | NEW / RESOLVED / CHANGED, verdict moves, ref events between two scans |
| finding_provenance | Introducing commit, current-line commit, PR, ref history for one finding |
| repo_health | Verdict trend, open findings, mean time open, detection latency |
| watch_status | Every tracked repo: scans, last scan, open findings, median TTD |
| list_findings | Tracked findings filtered by tool, severity, status |
| explain_finding | The full evidence bundle for one finding, written to act on |
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.
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).