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  3. CryptoGuardClient
CryptoGuardClient logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 1:19:44 PM

CryptoGuardClient

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

Deterministic crypto risk scanner offering trade validation, token anomaly detection, and rug pull checks with a physics-based engine.

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": {
    "gpartin-cryptoguardclient": {
      "command": "uvx",
      "args": [
        "--from",
        "CryptoGuardClient",
        "cryptoguard-mcp"
      ]
    }
  }
}

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

Install Tool Schemas (7) Directory Badge Claim listing Alternatives๐Ÿ’ฐ More in Finance & Fintech

Overview

This server provides AI agents with tools to evaluate cryptocurrency trades and tokens by delivering deterministic risk verdicts such as PROCEED, CAUTION, or BLOCK. It uses a physics-inspired WaveGuard engine to detect anomalies, predict crashes, and assess rug pull risks. The API supports single and batch trade validations, token scans, and advanced what-if analyses, suitable for integrating risk assessment into trading workflows or AI decision-making.

Use cases

โ€ขValidate individual crypto trades with risk verdicts
โ€ขScan tokens for anomalies and risk levels
โ€ขAssess rug pull risk on decentralized exchange pairs
โ€ขPerform what-if sensitivity analyses on trade decisions
โ€ขBatch validate multiple trades or scan portfolios

Key features

โ€ขDeterministic trade validation with PROCEED/CAUTION/BLOCK verdicts
โ€ขToken anomaly scanning by name, ticker, or contract address
โ€ขRug pull risk assessment for DEX pairs
โ€ขPhysics-based trend, regime, and volatility detection
โ€ขBatch endpoints for multiple trades and portfolio scans
โ€ขMCP server with 7 integrated tools for AI agent use

Capabilities & Tool Schemas (7) ~110 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by CryptoGuardClient.

cryptoguard_validate_trade

Validate a trade โ†’ PROCEED / CAUTION / BLOCK

cryptoguard_scan_token

Anomaly scan for any token

cryptoguard_validate_trade_plus

Premium stateless decision bundle with what-if analysis

cryptoguard_counterfactual_trade

What-if sensitivity analysis with tipping-point guidance

cryptoguard_rug_check

DEX pair rug pull risk assessment

cryptoguard_search

Search tokens by name/symbol/address

Documentation Overview

CryptoGuard

Crypto risk scanner that detected every major crash in backtesting โ€” 27 days early, on average.

Scan any token by name, ticker, or contract address. Get a deterministic verdict: PROCEED / CAUTION / BLOCK.

Version: 0.6.0 ย |ย  Live API: https://gpartin--cryptoguard-api-fastapi-app.modal.run ย |ย  Free tier: 5 calls/day ย |ย  MCP: 7 tools


Backtest Results

Tested against 7 historical crypto crashes (LUNA, FTX, Celsius, 3AC, UST, SOL/FTX, TITAN) and 4 calm-market control periods. Full methodology and data: CryptoGuard backtest.

MethodRecallAvg Lead TimeFalse Positive Rate
CryptoGuard (WaveGuard engine)100% (7/7)27.4 days6.1%
Z-score baseline100% (7/7)28.4 days29.9%
Rolling volatility86% (6/7)15.5 days4.0%

5ร— fewer false alarms than statistical baselines with the same recall.

Example: FTX Collapse (November 2022)

On October 16, 2022, FTT was trading at $23.73. Z-score analysis saw nothing (score 1.20, PROCEED).

CryptoGuard flagged CAUTION (anomaly score 4.72). The next day it escalated to BLOCK.

23 days later, FTX collapsed. FTT fell 94%.


Install

Terminal
pip install CryptoGuardClient

Quick Start

server.ts
from cryptoguard import CryptoGuardClient

client = CryptoGuardClient()

# Validate a trade โ€” primary use case
result = client.validate_trade("bitcoin", action="buy", amount_usd=1000)
print(result["verdict"])  # PROCEED / CAUTION / BLOCK

# Scan a token
scan = client.scan("solana")
print(scan["risk_level"])

# Rug pull check
rug = client.rug_check("solana", "0xabc123...")
print(rug["risk_score"])

# Check free tier remaining
print(client.free_tier())

Primary Endpoint

Terminal
curl -X POST https://gpartin--cryptoguard-api-fastapi-app.modal.run/v1/validate-trade \
  -H "Content-Type: application/json" \
  -d '{"token": "solana", "action": "buy", "amount_usd": 500}'

First 5 calls/day are free. After that: $0.05/call via x402 USDC, or via RapidAPI.

MCP Integration (Claude Desktop / AI Agents)

CryptoGuard is an MCP server with 7 tools. Works with Claude Desktop, Cursor, or any MCP client.

Option 1: Remote HTTP (no install)

config.json
{
  "mcpServers": {
    "cryptoguard": {
      "url": "https://gpartin--cryptoguard-api-fastapi-app.modal.run/mcp",
      "transport": "http"
    }
  }
}

Option 2: uvx

config.json
{
  "mcpServers": {
    "cryptoguard": {
      "command": "uvx",
      "args": ["--from", "CryptoGuardClient", "cryptoguard-mcp"]
    }
  }
}

Option 3: pip install

config.json
{
  "mcpServers": {
    "cryptoguard": {
      "command": "python",
      "args": ["-m", "mcp_server.server"]
    }
  }
}

MCP Tools

ToolDescription
cryptoguard_validate_tradeValidate a trade โ†’ PROCEED / CAUTION / BLOCK
cryptoguard_scan_tokenAnomaly scan for any token
cryptoguard_validate_trade_plusPremium stateless decision bundle with what-if analysis
cryptoguard_counterfactual_tradeWhat-if sensitivity analysis with tipping-point guidance
cryptoguard_rug_checkDEX pair rug pull risk assessment
cryptoguard_searchSearch tokens by name/symbol/address
cryptoguard_healthService health check

All Endpoints

MethodEndpointPriceDescription
POST/v1/validate-trade5 free/day, then $0.05Primary โ€” single verdict for AI agents
POST/v1/validate-trades5 free/day, then $0.05Batch validate up to 20 trades
GET/v1/scan/{coin_id}5 free/day, then $0.05Single token anomaly scan
POST/v1/portfolio/scan5 free/day, then $0.05Portfolio batch scan (up to 50 tokens)
GET/v1/scan/{coin_id}/history5 free/day, then $0.05Historical self-comparison
GET/v1/rug-check/{chain}/{pair_address}5 free/day, then $0.05Rug pull risk assessment
GET/v1/dex/new-pairs5 free/day, then $0.05New DEX pair discovery
GET/v1/dex/search5 free/day, then $0.05DexScreener pair search
GET/v1/dex/pair/{chain}/{pair_address}5 free/day, then $0.05DEX pair details
GET/v1/dex/token/{token_address}5 free/day, then $0.05DEX token info
POST/v1/intel/validate-trade-plus$0.10/callPremium stateless decision bundle
POST/v1/intel/counterfactual-trade$0.08/callWhat-if sensitivity analysis
GET/v1/track-recordFreeHistorical prediction track record
POST/v1/trend-detect5 free/day, then $0.05Physics-based trend detection
POST/v1/regime-detect5 free/day, then $0.05Regime change detection
POST/v1/correlation-scan5 free/day, then $0.05Anomalous correlation detection
POST/v1/volatility-forecast5 free/day, then $0.05Physics-based volatility forecast
POST/v1/spectral-scan5 free/day, then $0.05Hidden periodicity detection
POST/v1/whale-detector5 free/day, then $0.05Whale activity detection
POST/v1/momentum-pulse5 free/day, then $0.05Momentum pulse detection
GET/v1/search?q=...FreeSearch tokens by name
GET/v1/free-tierFreeCheck remaining free calls
GET/v1/pricingFreePricing details
GET/v1/statsFreeService statistics
GET/healthFreeHealth check
POST/mcpFreeMCP endpoint (JSON-RPC 2.0)
GET/mcp/toolsFreeList MCP tools
GET/v1/agent/toolsFreeAgent tool catalog
GET/v1/agent/mcpFreeMCP server metadata

How It Works

  1. Resolves token input โ€” CoinGecko ID, ticker symbol, or contract address (7 chains)
  2. Fetches live market data from CoinGecko + DexScreener
  3. Builds baseline from tier-matched peers (microcaps vs microcaps, large caps vs large caps)
  4. Extracts 10 time-series features per day (price ratios, volume dynamics, momentum, volatility)
  5. Runs anomaly detection โ€” GPU-accelerated WaveGuard engine scores each token against its peer baseline
  6. Multi-check pipeline: peer scan + rug pull + history + CEX/DEX spread + concentration risk
  7. Returns verdict: PROCEED / CAUTION / BLOCK with anomaly scores and top contributing features
About the detection engine

CryptoGuard's core scanner is powered by WaveGuard, a general-purpose anomaly detection engine that uses GPU-accelerated wave simulations instead of machine learning. Your token's feature vector is encoded onto a 3D lattice and evolved through coupled wave equations. Normal data produces stable wave patterns; anomalous data produces divergent ones.

The advantage over statistical methods: WaveGuard captures non-linear interactions between features that simple threshold checks miss. This is why it flagged FTT 13 days before z-score analysis in backtesting.

No model training, no drift, no retraining. Deterministic for the same input.

Key Features (v0.6.0)

  • Backtested: 100% recall on 7 historical crashes with 27-day average lead time
  • Free tier: 5 calls/day per IP, no signup required
  • 2 payment options: x402 USDC per-scan ($0.05) or RapidAPI plans
  • Deterministic: Same input always produces same verdict
  • MCP server: 7 tools for AI agent integration (stdio + HTTP)
  • Python SDK: pip install CryptoGuardClient with typed exceptions
  • Physics Intelligence: 7 endpoints for trend/regime/volatility/spectral/whale/momentum analysis
  • Intel endpoints: Premium validate-trade-plus ($0.10) and counterfactual-trade ($0.08)
  • Contract resolution: Accepts name, ticker, or contract address across 7 chains
  • Batch validation: Up to 20 trades or 50 tokens per call
  • Rug pull detection: DexScreener-powered liquidity and holder analysis
  • 30 REST endpoints: Complete crypto risk intelligence API

Pricing

TierCostLimitAuth
Free$05 calls/day per IPNone
Per-scan$0.05/callUnlimitedx402 USDC micropayment
RapidAPI Basic$0/mo500K requestsRapidAPI proxy key
RapidAPI Pro$9.99/mo10K requestsRapidAPI proxy key
RapidAPI Ultra$29.99/mo100K requestsRapidAPI proxy key

Architecture

Code
AI Agent / User
    |
    v
CryptoGuard API (Modal, stateless)
    |-- MCP endpoint (7 tools, JSON-RPC 2.0)
    |-- Auth: RapidAPI โ†’ API key โ†’ x402 (USDC) โ†’ Free tier
    |-- Token resolution (name/ticker/address โ†’ CoinGecko ID, 7 chains)
    |-- Market data (CoinGecko + DexScreener, cached)
    |-- Physics Intelligence (trend, regime, correlation, volatility, spectral, whale, momentum)
    |-- Intel (validate-trade-plus, counterfactual-trade)
    +-- WaveGuard anomaly engine (GPU-accelerated)

License

MIT

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.
Tools exposed
7
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

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Frequently Asked Questions about CryptoGuardClient

Backtests show 100% recall on 7 major crypto crashes with an average 27-day lead time and a 6.1% false positive rate.

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Technical Specs & Signals

Category๐Ÿ’ฐFinance & Fintech
More technical detailsExpand โ–พ
TransportSTDIO
RuntimePython
Last updatedAug 7, 2026
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 16, 2026
51Quality signal: Good ยท 51/100How this signal is calculated โ–พ
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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 & tools27/30
Adoption & activity1/15
Community engagement0/10

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

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