Trading Signals MCP server

Trading Signals

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17 triggers. 44 algorithms. 3 AI experts. Every signal backed by causal reasoning and verified against real prices.

Live crypto trading signals for Claude Code, OpenAI Codex, Cursor, Windsurf & 30+ AI agents. Every signal includes entry, SL, TP, leverage, position size, and a full transmission chain showing exactly which data points led to the trade.

FREE during beta. More stars = more development time = better signals for everyone.

Install

Claude Code Plugin (recommended)

/plugin install roman-rr/trading-skills

npx (Claude Code, Codex, Cursor, Windsurf, etc.)

npx skills add roman-rr/trading-skills

MCP Server (Claude Desktop / Claude Code / Cursor)

claude mcp add trading-signals --transport http -- https://signals.x70.ai/mcp

Or add to Claude Desktop config (~/Library/Application Support/Claude/claudedesktopconfig.json):

{
  "mcpServers": {
    "trading-signals": {
      "url": "https://signals.x70.ai/mcp"
    }
  }
}

Exposes 5 tools: register, getsignals, getsignal, getsignalhistory, get_stats.

OpenAI Codex CLI

See agents/openai.yaml for agent configuration.

Manual

# Claude Code
git clone https://github.com/roman-rr/trading-skills.git
cp -r trading-skills/trading-signals ~/.claude/skills/trading-signals

# OpenAI Codex CLI
cp -r trading-skills/trading-signals ~/.codex/skills/trading-signals

Always Watching

17 Triggers. 6 Groups. Every Minute.

The sentinel continuously scans 50+ perpetual markets for anomalies across six orthogonal dimensions -- volume, positioning, price dynamics, cross-asset flows, microstructure, and options-derived signals. A signal fires only when multiple independent dimensions agree, filtering noise from genuine opportunities.

Multi-Expert Consensus

Three specialized AI experts analyze every opportunity independently -- each with a different lens on market structure. Signals require agreement; conflicting views are flagged or filtered. The system continuously learns which analytical approaches perform best per market condition.

Research-Grounded

44 Scientific Methods. 53 Academic Citations.

Every algorithm is grounded in peer-reviewed research from quantitative finance, statistics, and machine learning -- spanning position sizing, anomaly detection, technical analysis, market microstructure, and adaptive risk management.

What You Get

Signal Preview

API Endpoints

Shortened. The full README is on GitHub.