Rug Munch Intelligence
19 tools for crypto token risk intelligence. Detect rug pulls, honeypots, and scams before your agent transacts. Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client.
README
🛡️ Marcus Rug Intel — MCP Server
<!-- mcp-name: io.github.amarodeabreu/rug-munch-mcp -->
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:
curl -X POST https://cryptorugmunch.app/api/agent/v1/check-risk \
-H "Content-Type: application/json" \
-d '{"token_address": "7GCihgDB8fe6KNjn2MYtkzZcRjQy3t9GHdC8uHYmW2hr"}'
Response:
{
"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
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:
{
"mcpServers": {
"rug-munch": {
"command": "rug-munch-mcp",
"env": {}
}
}
}
Cursor / Windsurf / VS Code
{
"mcpServers": {
"rug-munch": {
"command": "rug-munch-mcp",
"env": {}
}
}
}
OpenClaw
mcporter config add rug-munch --command "rug-munch-mcp"
mcporter call rug-munch.check_token_risk token_address=<MINT>
🔧 All 19 Tools
| Tool | What | Price |
|---|---|---|
check_token_risk |
Quick risk score (0-100) + recommendation | Free (1/day) or $0.04 |
check_token_risk_premium |
Full breakdown + deployer + social OSINT | $0.10 |
check_batch_risk |
Up to 20 tokens at once | $0.30 |
check_deployer_history |
Deployer wallet analysis — serial rugger? | $0.06 |
get_token_intelligence |
Complete token profile (price, holders, LP) | $0.06 |
get_holder_deepdive |
Top holders, concentration, sniper detection | $0.10 |
get_social_osint |
Social media presence and red flags | $0.06 |
get_kol_shills |
KOL/influencer shill detection | $0.06 |
get_coordinated_buys |
Detect coordinated buying patterns | $0.04 |
check_blacklist |
Community blacklist check | $0.02 |
check_scammer_wallet |
Known scammer wallet check | $0.02 |
get_market_risk_index |
Global market risk overview | $0.02 |
get_serial_ruggers |
Known serial rugger wallets | $0.02 |
marcus_quick |
AI verdict — Claude Sonnet 4 quick analysis | $0.15 |
marcus_forensics |
AI forensics — full Claude Sonnet 4 investigation | $0.50 |
marcus_ultra |
AI deep analysis — Claude Opus 4 | $2.00 |
marcus_thread |
AI analysis thread for X/Twitter | $1.00 |
watch_token |
7-day webhook monitoring for risk changes | $0.20 |
get_api_status |
Service health + accuracy metrics | Free |
💳 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)
# Get a key instantly (free, anonymous)
curl -X POST https://cryptorugmunch.app/api/agent/v1/keys/request \
-H "Content-Type: application/json" \
-d '{"email": "you@example.com"}'
# Use it on ALL 19 endpoints
curl -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
| Registry | Link |
|---|---|
| Official MCP Registry | io.github.amarodeabreu/rug-munch-mcp |
| PyPI | pip install rug-munch-mcp |
| Smithery | rug-munch-intelligence |
| Glama | rug-munch-intelligence |
| x402 Bazaar | cryptorugmunch.app |
| A2A Agent Card | /.well-known/agent.json |
| awesome-x402 | PR #28 merged |
📡 Discovery Endpoints (Free)
# Service status & accuracy metrics
curl https://cryptorugmunch.app/api/agent/v1/status
# OpenAPI spec
curl https://cryptorugmunch.app/api/agent/v1/openapi.json
# Human-readable skill description
curl https://cryptorugmunch.app/api/agent/v1/skill.md
# x402 payment details
curl https://cryptorugmunch.app/.well-known/x402
# A2A agent card
curl https://cryptorugmunch.app/.well-known/agent.json
# MCP server info
curl 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.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。