Rug Munch Mcp

io.github.amarodeabreu由 GitHub 帳號 amarodeabreu 發布v1.0.1更新於 Oct 27, 2026

Crypto risk intelligence: 19 tools for rug pull detection, AI forensics, and token analysis.

已驗證STDIO僅桌面金融安全與監控

概覽

AI 產生的概覽

加密風險情報 MCP 伺服器,讓助理在交易前評估代幣的跑路、蜜罐、部署者歷史與持倉集中度風險。

可以做什麼
  • 評估代幣的跑路與蜜罐風險,含進階明細版與最多 20 個代幣的批次檢查
  • 分析代幣與持倉:價格、流動性、前幾大持倉集中度、狙擊與協同買入偵測
  • 調查部署者與錢包:部署者歷史、連續跑路者、詐騙錢包與社群黑名單
  • 蒐集社群訊號:社群媒體 OSINT、KOL 喊單偵測與整體市場風險指數
  • 執行 AI 鑑識結論與分析推文串,並設定 7 天風險變化 webhook 監控
  • 查詢服務健康狀態與準確率指標
適用情境
適合助理或交易代理在交易前快速取得某個代幣、部署者或錢包的風險結論,或批次篩選新代幣及其社群訊號時使用。
執行需求
以 pip 安裝的本機 Python 套件執行,或連線託管的遠端端點。需存取服務商 API,可用 RUG_MUNCH_API_BASE 覆寫基礎位址。選用 RUG_MUNCH_API_KEY 可提高呼叫額度;未提供時僅限免費額度,付費呼叫透過 Base 或 Solana 上的 x402 USDC 微支付完成。
安裝前請注意
除每日免費檢查外,多數工具按次收費,最高 2.00 美元,透過 x402 USDC 付款會動用真實資金。API 金鑰需以電子郵件申請,並透過 X-API-Key 標頭傳送。代幣位址與查詢內容會傳送到服務商伺服器。風險評分為第三方估算,並非保證。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Rug Munch Mcp,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

🛡️ Marcus Rug Intel — MCP Server

[MCP] [PyPI] [Tools] [x402] [Free Tier] [Smithery] [Glama] [Coinbase x402 Ecosystem]

73% of new crypto tokens are scams or honeypots. This MCP server lets your AI agent check any token before transacting — the cheapest insurance in crypto.

19 tools for rug pull detection, honeypot scoring, deployer tracking, holder deep-dive, KOL shill detection, social OSINT, and LLM forensic analysis (Claude Sonnet 4 / Opus 4).

⚡ Try It Right Now (Free)

No install needed. 1 free call/day, no auth:

bash
curl -X POST https://cryptorugmunch.app/api/agent/v1/check-risk \  -H "Content-Type: application/json" \  -d '{"token_address": "7GCihgDB8fe6KNjn2MYtkzZcRjQy3t9GHdC8uHYmW2hr"}'

Response:

json
{  "token_address": "7GCihgDB8fe6KNjn2MYtkzZcRjQy3t9GHdC8uHYmW2hr",  "risk_score": 85,  "risk_level": "critical",  "recommendation": "AVOID",  "honeypot_risk": true,  "freeze_authority": true,  "token_name": "SuspiciousToken",  "token_symbol": "SCAM"}

🚀 Quick Start

Option 1: Install via pip

bash
pip install rug-munch-mcp

Option 2: Remote SSE (no install)

Connect directly to our hosted server:

https://cryptorugmunch.app/mcp/sse

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

json
{  "mcpServers": {    "rug-munch": {      "command": "rug-munch-mcp",      "env": {}    }  }}

Cursor / Windsurf / VS Code

json
{  "mcpServers": {    "rug-munch": {      "command": "rug-munch-mcp",      "env": {}    }  }}

OpenClaw

bash
mcporter config add rug-munch --command "rug-munch-mcp"mcporter call rug-munch.check_token_risk token_address=<MINT>

🔧 All 19 Tools

ToolWhatPrice
check_token_riskQuick risk score (0-100) + recommendationFree (1/day) or $0.04
check_token_risk_premiumFull breakdown + deployer + social OSINT$0.10
check_batch_riskUp to 20 tokens at once$0.30
check_deployer_historyDeployer wallet analysis — serial rugger?$0.06
get_token_intelligenceComplete token profile (price, holders, LP)$0.06
get_holder_deepdiveTop holders, concentration, sniper detection$0.10
get_social_osintSocial media presence and red flags$0.06
get_kol_shillsKOL/influencer shill detection$0.06
get_coordinated_buysDetect coordinated buying patterns$0.04
check_blacklistCommunity blacklist check$0.02
check_scammer_walletKnown scammer wallet check$0.02
get_market_risk_indexGlobal market risk overview$0.02
get_serial_ruggersKnown serial rugger wallets$0.02
marcus_quickAI verdict — Claude Sonnet 4 quick analysis$0.15
marcus_forensicsAI forensics — full Claude Sonnet 4 investigation$0.50
marcus_ultraAI deep analysis — Claude Opus 4$2.00
marcus_threadAI analysis thread for X/Twitter$1.00
watch_token7-day webhook monitoring for risk changes$0.20
get_api_statusService health + accuracy metricsFree

💳 Authentication Options

Free Tier (recommended to start)

  • 10 calls/day on check_token_risk — no auth needed
  • Just send the request, we'll answer

API Key (1,000 calls/hr)

bash
# Get a key instantly (free, anonymous)curl -X POST https://cryptorugmunch.app/api/agent/v1/keys/request \  -H "Content-Type: application/json" \  -d '{"email": "[email protected]"}'
# Use it on ALL 19 endpointscurl -X POST https://cryptorugmunch.app/api/agent/v1/check-batch \  -H "Content-Type: application/json" \  -H "X-API-Key: mri_your_key_here" \  -d '{"tokens": ["token1", "token2", "token3"]}'

x402 USDC Micropayments

Pay per-call with USDC on Base or Solana. See x402 docs.

Compatible with x402-fetch, x402-axios, Coinbase AgentKit, and any x402-enabled client.

🌐 Where We're Listed

RegistryLink
Official MCP Registryio.github.amarodeabreu/rug-munch-mcp
PyPIpip install rug-munch-mcp
Smitheryrug-munch-intelligence
Glamarug-munch-intelligence
x402 Bazaarcryptorugmunch.app
A2A Agent Card/.well-known/agent.json
awesome-x402PR #28 merged

📡 Discovery Endpoints (Free)

bash
# Service status & accuracy metricscurl https://cryptorugmunch.app/api/agent/v1/status
# OpenAPI speccurl https://cryptorugmunch.app/api/agent/v1/openapi.json
# Human-readable skill descriptioncurl https://cryptorugmunch.app/api/agent/v1/skill.md
# x402 payment detailscurl https://cryptorugmunch.app/.well-known/x402
# A2A agent cardcurl https://cryptorugmunch.app/.well-known/agent.json
# MCP server infocurl https://cryptorugmunch.app/.well-known/mcp.json

🤖 For Agent Developers

Reference Trading Agent

Full Python example agent that uses x402 to check tokens before trading: → CryptoRugMunch/x402-trading-agent

Coinbase AgentKit Plugin

Drop-in plugin for AgentKit-powered agents: → CryptoRugMunch/rug-agent-kit

🏗️ Architecture

Your Agent    │    ├── pip install rug-munch-mcp  (local STDIO)    │   └── Talks to cryptorugmunch.app API    │    ├── SSE: cryptorugmunch.app/mcp/sse  (remote, no install)    │    └── Direct HTTP: cryptorugmunch.app/api/agent/v1/*        ├── Free tier (1/day, no auth)        ├── API key (1000/hr, X-API-Key header)        └── x402 USDC (Payment-Signature header)

📊 Trust & Transparency

  • Trust score: Published at /api/agent/v1/status
  • Detection accuracy: 91%+ on known rug pulls
  • Uptime: 99.9%+ (monitored)
  • Response time: <500ms for cached, <5s for fresh scans
  • Feedback loop: POST /api/agent/v1/feedback — report false positives

License

MIT


⚠️ Note: This project was formerly known as CryptoRugMunch. The $CRM token is not affiliated with Marcus Rug Intel. We operate on a Stars-based subscription model — no token required.

Built by Marcus Rug Intel — the cheapest insurance in crypto.

來源:README.md,提交 364ca2f

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v1.0.1最新Sep 16, 2026

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