Crypto Signals Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Crypto Signals Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<!-- mcp-name: io.github.MarcinDudekDev/crypto-signals-mcp -->
MCP server for real-time crypto volume anomaly detection across 50+ tokens. Detects unusual trading activity, whale movements, and pump signals.
| Tool | Description |
|---|---|
scan_all_tokens | Scan all 50+ tokens for volume anomalies |
analyze_token | Detailed analysis for a specific token (BTC, ETH, SOL, etc.) |
get_anomaly_alerts | High-confidence alerts only (vol_mcap ratio above 5.0) |
pip install crypto-signals-mcpfastmcp run server.pyAdd to your claude_desktop_config.json:
{
"mcpServers": {
"crypto-signals": {
"command": "fastmcp",
"args": ["run", "server.py"]
}
}
}Ask your AI assistant:
The server connects to a live anomaly detection API that monitors trading volume across 50+ cryptocurrencies. It calculates volume-to-market-cap ratios to identify statistically unusual trading activity — often an early indicator of price movement, whale accumulation, or pump activity.
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.