Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Baselines an MCP server's tools and detects tool-definition changes after approval
These three are never merged into one score: opinions, measurements and popularity are different things.
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.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"rug-pull-detector": {
"command": "npx",
"args": [
"-y",
"@guardbee/mcp-rug-pull-detector"
]
}
}
}Run this in your terminal
claude mcp add rug-pull-detector -- npx -y @guardbee/mcp-rug-pull-detectorPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"rug-pull-detector": {
"command": "npx",
"args": [
"-y",
"@guardbee/mcp-rug-pull-detector"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"rug-pull-detector": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@guardbee/mcp-rug-pull-detector"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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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 6, 2026
The registry name was verified with the GitHub account GuardBee, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
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
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 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 –, and the latest version (0.4.2) reached the registry 5 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: Spec Driven Development, Remote Desktop Commander, Reelsaw
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Drive a self-hosted Reelsaw: turn long videos into vertical clips, edit, re-render and export them.
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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
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