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  1. Home
  2. ๐Ÿ’ฐ Finance & Fintech
  3. Rug Munch MCP
Rug Munch MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 3:02:14 PM

Rug Munch MCP

User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
cryptorisk-analysistoken-securityosintfinance

MCP server for crypto token risk checks, honeypot detection, wallet analysis, social OSINT, and AI forensic reviews.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "cryptorugmunch-rug-munch-mcp": {
      "command": "uvx",
      "args": [
        "rug-munch-mcp"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿ’ฐ More in Finance & Fintech

Overview

This server provides 19 tools for evaluating crypto tokens, including risk scoring, honeypot detection, deployer and holder analysis, blacklist checks, and social research. It also offers AI-based token investigations and seven-day risk monitoring. Use it when an agent needs token intelligence before trading or investigating suspicious projects.

Use cases

โ€ขScore a token for rug-pull and honeypot risk
โ€ขAnalyze deployer wallets and holder concentration
โ€ขCheck social activity, KOL shills, and coordinated buys
โ€ขInvestigate tokens with AI forensic analysis
โ€ขMonitor a token for risk changes over seven days

Key features

โ€ข19 crypto token risk intelligence tools
โ€ขRisk scores with recommendations
โ€ขDeployer, holder, blacklist, and scammer-wallet analysis
โ€ขSocial OSINT and KOL shill detection
โ€ขClaude Sonnet 4 and Opus 4 analysis tools
โ€ขRemote SSE endpoint and x402 USDC payments

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Rug Munch MCP.

Extracted Tool Capabilities
19 crypto token risk intelligence tools
Risk scores with recommendations
Deployer, holder, blacklist, and scammer-wallet analysis
Social OSINT and KOL shill detection
Claude Sonnet 4 and Opus 4 analysis tools
Remote SSE endpoint and x402 USDC payments

Documentation Overview

๐Ÿ›ก๏ธ Marcus Rug Intel โ€” 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 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).

โšก Try It Right Now (Free)

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

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

Response:

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

๐Ÿš€ Quick Start

Option 1: Install via pip

Terminal
pip install rug-munch-mcp

Option 2: Remote SSE (no install)

Connect directly to our hosted server:

Code
https://cryptorugmunch.app/mcp/sse

Claude Desktop

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

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

Cursor / Windsurf / VS Code

config.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>

๐Ÿ”ง 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 โ€” 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 โ€” Claude Sonnet 4 quick analysis$0.15
marcus_forensicsAI forensics โ€” full Claude Sonnet 4 investigation$0.50
marcus_ultraAI deep analysis โ€” 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

๐Ÿ’ณ Authentication Options

Free Tier (recommended to start)

  • 10 calls/day on check_token_risk โ€” 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": "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.

๐ŸŒ 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

๐Ÿ“ก Discovery Endpoints (Free)

bash
# 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

๐Ÿค– 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

๐Ÿ—๏ธ Architecture

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

๐Ÿ“Š 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 โ€” report false positives

License

MIT


โš ๏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.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
5mo ago
Most recent push to the default branch.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet โ€” be the first to share how this listing worked for you.

Frequently Asked Questions about Rug Munch MCP

Yes. The README describes an unauthenticated free tier for check_token_risk, while paid calls and API-key access are also available.

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Technical Specs & Signals

Category๐Ÿ’ฐFinance & Fintech
PricingFreemium
More technical detailsExpand โ–พ
TransportSTDIO
RuntimePython
AuthNo auth required
ClientsClaude Desktop, Cursor, Windsurf
Last updatedAug 10, 2026
11/11 checks healthy over the last 33d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit5mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Mar 31, 2026
48Quality signal: Fair ยท 48/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 23d ago via OSV.dev ยท rug-munch-mcp (PyPI)

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