World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
Baselines an MCP server's tools and detects tool-definition changes after approval
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": {
"rug-pull-detector": {
"command": "npx",
"args": [
"-y",
"@guardbee/mcp-rug-pull-detector"
]
}
}
}Use Rug Pull Detector and tell me what you can do for me, then show me one thing✓ If Claude says it is using Rug Pull Detector or shows a Rug Pull Detector 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 Rug Pull Detector yet
Rug Pull Detector runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect Rug Pull Detector
B · Others in Other 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 --scope user rug-pull-detector -- npx -y @guardbee/mcp-rug-pull-detectorYou should see Rug Pull Detector listed as connected
Use Rug Pull Detector and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Rug Pull Detector or shows a Rug Pull Detector 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 Rug Pull Detector and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Rug Pull Detector or shows a Rug Pull Detector 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 Rug Pull Detector and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Rug Pull Detector or shows a Rug Pull Detector 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
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
Claude Code
claude mcp add --scope user rug-pull-detector -- npx -y @guardbee/mcp-rug-pull-detectorClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"rug-pull-detector": {
"command": "npx",
"args": [
"-y",
"@guardbee/mcp-rug-pull-detector"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"rug-pull-detector": {
"command": "npx",
"args": [
"-y",
"@guardbee/mcp-rug-pull-detector"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"rug-pull-detector": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@guardbee/mcp-rug-pull-detector"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
npm: @guardbee/mcp-rug-pull-detectorBased 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 12, 2026
The registry name was verified with the GitHub account GuardBee, which owns the repo
Code last changed 2 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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Posts here are written by users, not the PopNx team.
No reviews yet
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 2 days ago, and the latest version (0.4.2) reached the registry 11 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: World Monitor, Claude Flow, Windmill
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
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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.
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An MCP (Model Context Protocol) server that connects live to another MCP server and detects an MCP rug pull — a server presenting one tool definition when you approve it, then silently serving a different one later.
Every other scanner in this monorepo reads source code or a config file once. This one is architecturally different: it's an MCP *client*. It spawns the target server (stdio) or opens a session with it (Streamable HTTP), calls the real tools/list RPC, and remembers what it saw — the same trust-on-first-use model an SSH client uses for host keys. A tool's description, input/output schema, or annotations changing between two calls to the exact same server is not something any static analysis of that server's source could ever catch, because the server may not have changed its source at all — it can decide server-side, at request time, what to tell which client.
Telemetry is off by default. With
GUARDBEE_TELEMETRY=1it sends the server, tool, success, duration and short parameter values such as a file path; longer strings and fields likecontent,tokenorpasswordare replaced with a placeholder. See@guardbee/mcp-telemetry.
Claude ──► rug-pull-detector ──► (spawns / connects to) ──► Target MCP server
│ │ │ tools/list (real RPC) ▼ .guardbee/tool-baselines/ .json │ 1st contact: baseline_server → store canonical hash per tool every later: check_server → re-fetch, diff against stored hash
baseline_server connects once, fetches every tool's {name, description, inputSchema, outputSchema, annotations}, canonicalizes it (deep key-sorted JSON) and stores a SHA-256 hash plus the full snapshot — one JSON file per server under .guardbee/tool-baselines/.
Every check_server also runs the tool-poisoning catalog scan on the live tools/list, including the first time a server is seen and when no baseline is stored yet. A poisoned description does not wait for a second visit.
check_server connects again later — after a version bump, before every session, on a schedule, whatever cadence you choose — and re-fetches the same information. Any tool whose hash no longer matches is reported:
tool_definition_drift). This is the rug pull itself. The finding says exactly which field changed (description / input schema / output schema / annotations) with the before/after description text, because destructiveHint: true → false is just as much a lie as a rewritten description — both change what a caller believes they're authorizing.tool_added). Could be a legitimate release. Still worth a look — nothing stops a server introducing its dangerous tool only after the benign ones already earned trust.tool_removed).If no baseline exists yet, check_server captures one automatically and reports clean (pass autoBaseline: false / --no-auto-baseline to require an explicit baseline_server call first instead).
readOnlyHint, destructiveHint, ...) — a server can't dodge detection by only touching the fields a naive diff would skip.--stdio="command arg1 arg2", --url= , or --config= --server= (reads an mcpServers-style JSON config directly — the same shape as a Claude Desktop config)ai-code-scanner's own real, already-published MCP server — connected over genuine stdio JSON-RPC, baselined its 4 real tools, and confirmed a second check reports clean.{
"mcpServers": { "guardbee-rug-pull-detector": { "command": "npx", "args": ["-y", "@guardbee/mcp-rug-pull-detector"] } } }
Then ask Claude to baseline a server you're about to add, and to re-check it periodically (e.g. "check this MCP server against its baseline before we use it today").
# First contact — do this only after you've reviewed the server's tools
npx @guardbee/mcp-rug-pull-detector baseline --config=claude_desktop_config.json --server=some-third-party-server
npx @guardbee/mcp-rug-pull-detector check --config=claude_desktop_config.json --server=some-third-party-server --fail-on=critical
| Tool | Description |
|---|---|
baseline_server | Connects to a server and stores its current tools as the trusted baseline |
check_server | Connects to a server and diffs its current tools against the stored baseline |
list_baselines | Lists every server with a stored baseline |
No guardbee.yml section — the only persistent state is the baseline directory itself (.guardbee/tool-baselines/ by default, override with --baseline-dir).
--config= --server= (reading a real JSON config with a proper args array) for anything beyond a trivial command line.mcp-server-auditor or tool-poisoning-scanner — run all three.npm run build
npm test # 28 tests
MIT — GuardBee
Questions, ideas, or a false positive? Start a thread in GitHub Discussions or open an issue. If GuardBee is useful to you, a ⭐ on the repository helps others find it.