Rug Pull Detector

io.github.GuardBee由 GitHub 帳號 GuardBee 發布v0.4.2更新於 Nov 3, 2026

Baselines an MCP server's tools and detects tool-definition changes after approval

已驗證STDIO僅桌面開發者工具安全與監控

概覽

AI 產生的概覽

一個 MCP 用戶端:為另一個 MCP 伺服器的工具定義建立基準,之後若遭靜默變更就發出警示,用來辨識所謂的 rug pull。

可以做什麼
  • 為目標伺服器的工具建立基準:透過 stdio 或 Streamable HTTP 連線,讀取真實的 tools/list 回應,並依工具儲存正規化雜湊與快照。
  • 對照已存基準重新檢查伺服器,回報描述、輸入/輸出 schema 或註解的漂移,以及新增或移除的工具。
  • 列出所有已存有基準的伺服器。
  • 在命令列執行相同檢查,供 CI 或排程工作使用,支援 SARIF 輸出與失敗門檻。
適用情境
適合在加入第三方 MCP 伺服器後,確認已核准的工具定義日後是否被改動;也適合在 CI 或每次工作階段前做排程檢查。它是原始碼稽核與工具投毒掃描的補充,而非替代。
執行需求
以 npm 套件形式在本機透過 stdio 執行(npx @guardbee/mcp-rug-pull-detector)。需要能存取目標伺服器:stdio 指令、Streamable HTTP 網址,或 mcpServers 格式的 JSON 設定檔。基準存放在本機目錄(預設 .guardbee/tool-baselines/)。不需要 API 金鑰或環境變數。
安裝前請注意
連線 stdio 目標會啟動你提供的任意指令,只應指向你打算執行的伺服器。基準身分取決於你設定的標籤或命令列,改名會重新建立基準。它只偵測所呈現工具清單的漂移,不偵測工具呼叫內部的惡意行為。遙測預設關閉;設定 GUARDBEE_TELEMETRY=1 會把伺服器、工具、成功與否、耗時及檔案路徑等短參數值傳送給第三方。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Rug Pull Detector,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

@guardbee/mcp-rug-pull-detector

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[npm version] [npm downloads] [License: MIT]

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=1 it sends the server, tool, success, duration and short parameter values such as a file path; longer strings and fields like content, token or password are 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/<hash>.json              │    1st contact: baseline_server → store canonical hash per tool    every later: check_server    → re-fetch, diff against stored hash

The trust-on-first-use model

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:

  • critical — an existing tool's definition changed (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.
  • medium — a new tool appeared that wasn't in the baseline (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.
  • low — a previously baselined tool is no longer offered (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).


Features

  • Real MCP client — not a mock, not a source-code heuristic. Speaks the actual protocol over stdio or Streamable HTTP to whatever server you point it at.
  • Canonical hashing covers name, description, input schema, output schema, and annotations (readOnlyHint, destructiveHint, ...) — a server can't dodge detection by only touching the fields a naive diff would skip.
  • Three ways to specify a target: --stdio="command arg1 arg2", --url=<http-url>, or --config=<file> --server=<name> (reads an mcpServers-style JSON config directly — the same shape as a Claude Desktop config)
  • SARIF 2.1.0 output — CI/CD integration
  • 28 tests: pure unit tests for hashing/diffing/storage, plus real stdio process-spawning integration tests against a fixture MCP server (not mocked) covering drift, addition, removal, and label isolation. End-to-end verified against 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.

Quick Start

Claude Desktop / MCP Client

json
{  "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").

CLI (CI/CD or scheduled check)

bash
# First contact — do this only after you've reviewed the server's toolsnpx @guardbee/mcp-rug-pull-detector baseline --config=claude_desktop_config.json --server=some-third-party-server
# Every later run — e.g. a scheduled job, or right before your app startsnpx @guardbee/mcp-rug-pull-detector check --config=claude_desktop_config.json --server=some-third-party-server --fail-on=critical

MCP Tools

ToolDescription
baseline_serverConnects to a server and stores its current tools as the trusted baseline
check_serverConnects to a server and diffs its current tools against the stored baseline
list_baselinesLists every server with a stored baseline

Configuration

No guardbee.yml section — the only persistent state is the baseline directory itself (.guardbee/tool-baselines/ by default, override with --baseline-dir).


Limitations (by design)

  • --stdio uses a simple whitespace split, not shell-quote parsing — a command/argument containing spaces will break. Use --config=<file> --server=<name> (reading a real JSON config with a proper args array) for anything beyond a trivial command line.
  • Baseline identity is the label you give it (or the command line / URL if you don't), not anything cryptographic about the server itself — renaming how you invoke a server starts a fresh baseline. Keep the label stable.
  • This detects drift in the tool list a server presents, not malicious behavior inside a tool call that was always there. It's the rug-pull defense, not a replacement for mcp-server-auditor or tool-poisoning-scanner — run all three.
  • Connecting to a stdio target means spawning whatever command you give it — the same thing every MCP client already does when you add a server to its config. Only point this at servers you intend to run.

Development

bash
npm run buildnpm test             # 28 tests

License

MIT — GuardBee

Feedback

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.

來源:packages/rug-pull-detector/README.md,提交 bc5997d

工具

3

baseline_server

Connect to an MCP server (stdio command or Streamable HTTP URL), read its current tools/list response, and store it as the trusted baseline for future drift checks. Call this once, right after you've reviewed and approved a server's tools.

輸入參數cwdenvurlargslabelcommand

check_server

Connect to an MCP server and compare its current tools/list response against the stored baseline. A tool whose description, schema, or annotations changed since baseline is a 'rug pull' — approved once, silently different now. If no baseline exists yet, one is captured automatically (set autoBaseline=false to require an explicit baseline_server call first).

輸入參數cwdenvurlargslabelcommandautoBaseline

list_baselines

List every server this scanner has a stored baseline for

無需輸入參數。

版本歷史

6
  1. v0.4.2最新Nov 1, 2026
  2. v0.4.1Oct 30, 2026
  3. v0.3.4Oct 29, 2026
  4. v0.3.3Oct 22, 2026
  5. v0.3.2Oct 22, 2026
  6. v0.2.2Oct 13, 2026

評分

已滿足適用檢查項的 90%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通25 分
  • 已宣告認證方式10 分

    請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。

  • 已列出工具必需15 分
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