Server data from the Official MCP Registry
Crypto risk intelligence: 19 tools for rug pull detection, AI forensics, and token analysis.
About
Crypto risk intelligence: 19 tools for rug pull detection, AI forensics, and token analysis.
Security Report
Valid MCP server (2 strong, 1 medium validity signals). 3 known CVEs in dependencies (0 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.
5 files analyzed ยท 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: RUG_MUNCH_API_KEY
Environment variable: RUG_MUNCH_API_BASE
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-amarodeabreu-rug-munch-mcp": {
"env": {
"RUG_MUNCH_API_KEY": "your-rug-munch-api-key-here",
"RUG_MUNCH_API_BASE": "your-rug-munch-api-base-here"
},
"args": [
"rug-munch-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
๐ก๏ธ Marcus Rug Intel โ MCP Server
73% of new crypto tokens are scams or honeypots. This MCP server lets your AI agent check any token before transacting โ 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).
โก 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"
}
๐ 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>
๐ง 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 โ 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 โ Claude Sonnet 4 quick analysis | $0.15 |
marcus_forensics | AI forensics โ full Claude Sonnet 4 investigation | $0.50 |
marcus_ultra | AI deep analysis โ 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 |
๐ณ Authentication Options
Free Tier (recommended to start)
- 10 calls/day on
check_token_riskโ 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.
๐ 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 |
๐ก 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
๐ค For Agent Developers
Reference Trading Agent
Full Python example agent that uses x402 to check tokens before trading: โ CryptoRugMunch/x402-trading-agent
Coinbase AgentKit Plugin
Drop-in plugin for AgentKit-powered agents: โ CryptoRugMunch/rug-agent-kit
๐๏ธ Architecture
Your Agent
โ
โโโ pip install rug-munch-mcp (local STDIO)
โ โโโ Talks to cryptorugmunch.app API
โ
โโโ SSE: cryptorugmunch.app/mcp/sse (remote, no install)
โ
โโโ Direct HTTP: cryptorugmunch.app/api/agent/v1/*
โโโ Free tier (1/day, no auth)
โโโ API key (1000/hr, X-API-Key header)
โโโ x402 USDC (Payment-Signature header)
๐ 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/feedbackโ report false positives
License
MIT
โ ๏ธ 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 โ no token required.
Built by Marcus Rug Intel โ the cheapest insurance in crypto.
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