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@cryptyx/mcp-server
@cryptyx/mcp-server/dist/server.js

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Readme

@cryptyx/mcp-server

MCP (Model Context Protocol) server for CRYPTYX — institutional-grade digital asset intelligence for AI agents.

Quick Start

npx @cryptyx/mcp-server

Claude Desktop / Claude Code

Add to your MCP config:

{
  "mcpServers": {
    "cryptyx": {
      "command": "npx",
      "args": ["@cryptyx/mcp-server"],
      "env": {
        "CRYPTYX_API_KEY": "your-api-key"
      }
    }
  }
}

Environment Variables

Variable	Required	Default	Description
`CRYPTYX_API_KEY`	Yes	—	API key for authentication
`CRYPTYX_API_URL`	No	`https://cryptyx.ai`	Base URL (for self-hosted)

Tools

get_market_snapshot

Asset universe with composite scores, returns, volatility, and rankings.

Parameters: assets (optional, comma-separated), mode (snapshot/series), days (1-365)

get_signal_triggers

Today's active signal firings across all assets with confidence scores.

get_signal_catalog

All 35 signals with active parameters and 30-day trigger statistics.

get_factor_scores

Factor t-scores for an asset across 8 factor classes and multiple horizons.

Parameters: asset (required), mode, days, horizons (comma-separated)

get_composite_rankings

Full state snapshot: factor breadth, top/bottom rankings, signal summary, pipeline status.

get_market_pulse

Factor breadth and regime analysis across the entire asset universe.

Parameters: days, horizons, classes (comma-separated)

get_price_history

Daily OHLCV candle data for backtesting.

Parameters: asset (required), days (1-365)

get_signal_explanation

Structured explanation of why a signal fired (or didn't) for a specific asset/day.

Parameters: signal_id (required), day (required, YYYY-MM-DD), asset (required)

search_assets

List all tracked assets in the CRYPTYX universe.

get_regime_analysis

Current regime classification (trending, mean-reverting, volatile) with confidence.

Parameters: asset (required), mode, days

Factor Classes

Code	Name	Description
CORR	Correlation	Cross-asset correlation dynamics
EFF	Efficiency	Market efficiency and mean reversion
FLOW	Flow	Capital flow and fund movement
FUT	Futures	Derivatives positioning and sentiment
OB	Order Book	Depth, imbalance, and microstructure
OPT	Options	Implied vol, skew, and term structure
TR	Trend	Price momentum and trend strength
VOL	Volatility	Realized and implied vol dynamics

Data

229 metrics across 8 factor classes
37 signals with parameterized thresholds
202 digital assets tracked daily
Horizons: 1d, 7d, 14d, 30d, 60d, 90d, 180d, 365d
Data refreshed daily at UTC 00:00

License

MIT