What can you do with this server?

This server provides comprehensive crypto token risk analysis and scam detection tools to help you avoid rug pulls, honeypots, and scammer activity before transacting. Core Risk Analysis * check_token_risk — Quick risk score (0-100) with honeypot detection and SAFE/CAUTION/AVOID recommendation * check_token_risk_premium — Full breakdown including deployer cross-reference, social OSINT, and holder intelligence * check_batch_risk — Screen up to 20 tokens simultaneously Deployer & Wallet Intelligence * check_deployer_history — Analyze a deployer's full history; classify as legitimate, suspicious, or serial rugger * check_scammer_wallet — Check if a wallet belongs to a known scammer * get_serial_ruggers — Retrieve a watchlist of known serial rug deployers Token & Holder Deep-Dives * get_token_intelligence — Full token profile: price, volume, market cap, LP lock status, authority flags, buy/sell ratios * get_holder_deepdive — Detect sniper wallets, Jito bundle manipulation, whale concentration, and coordinated clusters Social & Influencer Analysis * get_social_osint — Check Twitter recycling, domain age, Telegram legitimacy, and scam infrastructure links * get_kol_shills — Identify influencers who promoted a token and detect pump-and-dump timing patterns * get_coordinated_buys — Find tokens where multiple KOLs bought in a coordinated window Market & Blacklist Checks * check_blacklist — Community-sourced flag check for known bad tokens * get_market_risk_index — Daily market-wide rug risk index with rug velocity and liquidity drain metrics AI-Powered Forensic Analysis (via Claude) * marcus_quick — One-paragraph Claude Sonnet 4 verdict with risk score and key flags * marcus_forensics — Full Claude Sonnet 4 forensic investigation across all risk vectors * marcus_ultra — Deepest analysis using Claude Opus 4 with extended reasoning * marcus_thread — Generate a 5-8 post X/Twitter-ready forensic thread Monitoring & Status * watch_token — 7-day webhook monitoring for risk changes, rug detection, or price drops * get_api_status — Check service health, accuracy metrics, and pricing (free) Access Options: Free tier (1 call/day on check_token_risk), API keys (1,000 calls/hr), or x402 USDC micropayments on Base or Solana. Supports Solana, Ethereum, Base, Arbitrum, Polygon, Optimism, and Avalanche.

Which integrations are available for this server?

Integrates with Coinbase AgentKit to provide risk intelligence and scam detection for crypto tokens within automated agent workflows. Provides risk analysis for tokens on the Ethereum blockchain, including detection of rug pulls, honeypots, and suspicious holder concentration. Offers security auditing and risk scoring for tokens on the Optimism network to identify malicious projects and fraudulent deployers. Evaluates the risk profile of tokens on the Polygon network, featuring forensic investigation into buying patterns and known scammer wallets. Delivers comprehensive risk assessment for Solana tokens, including sniper detection, social OSINT, and deep-dives into holder concentration.

Rug Munch Intelligence

by Marcus-Rug-Intel

Overview Schema Source Related Servers Discussions Admin

Python

Remote

This server provides comprehensive crypto token risk analysis and scam detection tools to help you avoid rug pulls, honeypots, and scammer activity before transacting.

Core Risk Analysis

check_token_risk — Quick risk score (0-100) with honeypot detection and SAFE/CAUTION/AVOID recommendation
check_token_risk_premium — Full breakdown including deployer cross-reference, social OSINT, and holder intelligence
check_batch_risk — Screen up to 20 tokens simultaneously

Deployer & Wallet Intelligence

check_deployer_history — Analyze a deployer's full history; classify as legitimate, suspicious, or serial rugger
check_scammer_wallet — Check if a wallet belongs to a known scammer
get_serial_ruggers — Retrieve a watchlist of known serial rug deployers

Token & Holder Deep-Dives

get_token_intelligence — Full token profile: price, volume, market cap, LP lock status, authority flags, buy/sell ratios
get_holder_deepdive — Detect sniper wallets, Jito bundle manipulation, whale concentration, and coordinated clusters

Social & Influencer Analysis

get_social_osint — Check Twitter recycling, domain age, Telegram legitimacy, and scam infrastructure links
get_kol_shills — Identify influencers who promoted a token and detect pump-and-dump timing patterns
get_coordinated_buys — Find tokens where multiple KOLs bought in a coordinated window

Market & Blacklist Checks

check_blacklist — Community-sourced flag check for known bad tokens
get_market_risk_index — Daily market-wide rug risk index with rug velocity and liquidity drain metrics

AI-Powered Forensic Analysis (via Claude)

marcus_quick — One-paragraph Claude Sonnet 4 verdict with risk score and key flags
marcus_forensics — Full Claude Sonnet 4 forensic investigation across all risk vectors
marcus_ultra — Deepest analysis using Claude Opus 4 with extended reasoning
marcus_thread — Generate a 5-8 post X/Twitter-ready forensic thread

Monitoring & Status

watch_token — 7-day webhook monitoring for risk changes, rug detection, or price drops
get_api_status — Check service health, accuracy metrics, and pricing (free)

Access Options: Free tier (1 call/day on check_token_risk), API keys (1,000 calls/hr), or x402 USDC micropayments on Base or Solana. Supports Solana, Ethereum, Base, Arbitrum, Polygon, Optimism, and Avalanche.

🛡️ Marcus Rug Intel — MCP Server

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"
}

Related MCP server: fia-signals-mcp

🚀 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.

Available Tools

19 tools

check_batch_riskA

Batch risk check for up to 20 tokens at once. Returns risk scores and recommendations for all tokens. Ideal for portfolio screening. Cost: $0.30 (~$0.015 per token).

Inputs: tokens (required), chain.

check_blacklistC

Check if a token is community-flagged. Community-sourced intelligence with reputation-weighted flags. Cost: $0.02.

Inputs: token_address (required), chain.

check_deployer_historyA

Check a token deployer's full history: tokens deployed, rug count, classification (legitimate_builder / suspicious / serial_rugger). Essential for evaluating new token trustworthiness. Cost: $0.06.

Inputs: deployer_address (required).

check_scammer_walletA

Check if a wallet belongs to a known scammer, serial rugger, or flagged entity. Cost: $0.02.

Inputs: wallet_address (required).

check_token_riskA

CRITICAL: Check a token's rug pull risk score BEFORE any transaction. Returns 0-100 risk score, honeypot detection, deployer history, freeze authority check, holder concentration, and SAFE/CAUTION/AVOID recommendation. Cost: $0.04 per check. The cheapest insurance in crypto.

Inputs: token_address (required), chain.

check_token_risk_premiumB

Premium deep risk analysis with full category breakdown, deployer cross-reference, social OSINT, holder intelligence, and historical pattern matching. Use for high-value positions. Cost: $0.10.

Inputs: token_address (required), chain.

get_api_statusA

Get service status, performance metrics, trust score, and pricing. FREE — no payment required. Use this to verify the service is up before making paid calls.

Inputs: no named parameters.

get_coordinated_buysB

Detect coordinated buying across tracked KOLs. Identifies tokens where multiple influencers bought within a short window. Cost: $0.04.

Inputs: hours.

get_holder_deepdiveA

Deep holder analysis: sniper detection, Jito bundle analysis, fresh wallet clustering, whale concentration, connected wallet patterns. Detects coordinated manipulation. Cost: $0.10.

Inputs: token_address (required).

get_kol_shillsB

KOL shill pattern detection: which influencers promote this token, their buy timing vs shill timing, coordinated pump patterns. Cost: $0.06.

Inputs: token_address (required).

get_market_risk_indexA

Daily market-wide rug risk index (0-100). Components: high_risk_ratio, rug_velocity, liquidity_drains, deployer_activity. High = more rugs happening = exercise caution. Cost: $0.02.

Inputs: no named parameters.

get_serial_ruggersC

Known serial rug deployer watchlist. Cross-reference before trusting new tokens. Cost: $0.02.

Inputs: min_tokens.

get_social_osintC

Social infrastructure analysis: Twitter account recycling, domain age, Telegram group legitimacy, cross-references with known scam infrastructure. Cost: $0.06.

Inputs: token_address (required).

get_token_intelligenceB

Comprehensive token data: price, volume, market cap, holder stats, LP lock status, authority flags, buy/sell ratios, and top holders. Cost: $0.06.

Inputs: token_address (required).

marcus_forensicsB

Full AI forensic investigation by Marcus Aurelius (Claude Sonnet 4). Covers deployer history, holder patterns, social OSINT, KOL cross-reference, contract security, liquidity, and trading patterns. ~15-60s. Cost: $0.50.

Inputs: token_address (required), chain.

marcus_quickA

AI forensic verdict by Marcus Aurelius (Claude Sonnet 4). One-paragraph analysis with risk score, key flags, and Stoic wisdom. ~5-30s latency. Cost: $0.15.

Inputs: token_address (required), chain, question.

marcus_threadB

X/Twitter-thread-ready forensic analysis. 5-8 posts, each ≤280 chars. Perfect for research posting. Cost: $1.00.

Inputs: token_address (required), chain.

marcus_ultraA

The deepest AI forensic analysis available. Powered by Claude Opus 4 with extended reasoning. Catches subtle patterns: connected wallet clusters, timing correlations, historical rug playbook matching. ~30-120s. Cost: $2.00.

Inputs: token_address (required), chain.

watch_tokenA

Set up real-time token monitoring with webhook alerts. When risk changes, rug detected, or price drops, we POST to your webhook. Covers 7 days. No other service offers proactive rug detection. Cost: $0.20.

Inputs: token_address (required), webhook_url (required), watch_type.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.4/5.0

Scored 2026-04-17 21:20 across 19 tools

Disambiguation3/5

The tool set has clear thematic grouping (risk checks, intelligence gathering, AI forensics, monitoring), but there is significant overlap within categories. For example, check_token_risk, check_token_risk_premium, and the marcus_* tools all perform risk analysis with varying depth, which could confuse an agent about which to select for a given scenario. Descriptions help differentiate, but the boundaries are not always sharp.

Naming Consistency4/5

Most tools follow a consistent verb_noun pattern (e.g., check_batch_risk, get_api_status, watch_token), with clear action prefixes like 'check', 'get', and 'marcus_'. The marcus_* tools deviate slightly by using a proper name prefix instead of a verb, but they maintain internal consistency. Overall, the naming is predictable and readable.

Tool Count3/5

With 19 tools, the count is borderline high for a risk analysis server, leaning toward heavy. While the domain (crypto token security) is complex and may justify many tools, some tools feel redundant (e.g., multiple AI forensic options) or niche (e.g., marcus_thread), suggesting potential over-scoping that could overwhelm an agent.

Completeness5/5

The tool surface comprehensively covers the domain of crypto token risk assessment and intelligence. It includes core checks (token, deployer, wallet), advanced analysis (AI forensics, holder deep dives), market-wide metrics, social OSINT, and proactive monitoring. There are no obvious gaps; agents can perform end-to-end risk evaluation and monitoring workflows.

Maintenance

ActivityInactive

ResponsivenessOutdated data

Resources

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ISC

🛡️ Marcus Rug Intel — MCP Server

⚡ Try It Right Now (Free)

🚀 Quick Start

Option 1: Install via pip

Option 2: Remote SSE (no install)

Claude Desktop

Cursor / Windsurf / VS Code

OpenClaw

🔧 All 19 Tools

💳 Authentication Options

Free Tier (recommended to start)

API Key (1,000 calls/hr)

x402 USDC Micropayments

🌐 Where We're Listed

📡 Discovery Endpoints (Free)

🤖 For Agent Developers

Reference Trading Agent

Coinbase AgentKit Plugin

🏗️ Architecture

📊 Trust & Transparency

License

Available Tools

Tool Schema Changelog

TDQS

Maintenance

Resources

Related MCP Connectors

Related MCP Servers

lso-mcp

fia-signals-mcp

LoneStarOracle MCP Serverofficial

crypto-inspector-mcp