claude mcp add crypto-signals-mcp -- npx -y crypto-signals-mcp
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Star count
1 ★ · MarcinDudekDev/crypto-signals-mcp · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 1 ★ · 7 sources · mcp
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How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
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We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
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repository MarcinDudekDev/crypto-signals-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
MCP server for real-time crypto volume anomaly detection across 50+ tokens. Detects unusual trading activity, whale movements, and pump signals. Features - **Volume anomaly detection** — Identifies tokens with unusual volume-to-market-cap ratios - **50+ tokens monitored** — Continuous scanning across major cryptocurrencies - **Anomaly classification** — Signals rated LOW, MODERATE, HIGH, or CRITICAL - **High-confidence alerts** — Filter for only the most actionable signals - **Live data** — Real-time prices, 24h changes, volume, and market cap Tools | 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) | Quick Start Install Run Configure in Claude Desktop Add to your claude_desktop_config.json: Example Usage Ask your AI assistant: - "Scan all crypto tokens for volume anomalies" - "Analyze Bitcoin for unusual trading activity" - "Show me high-confidence crypto alerts" - "Which tokens have whale movement signals right now?" How It Works 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. License MIT