Trading Signals MCP
roman-rr/trading-skills · 120 stars · Python
MCP server Live crypto trading signals via API. Full trade setups with entry, stop-loss, take-profit, leverage, and automated verification. Built for Claude Code, OpenAI Codex, and 30+ AI agents.
Install
The repo has no one-line install. Follow its README.
Published as
- Remote
https://signals.x70.ai/mcpStreamable HTTP - Remote
https://signals.x70.ai/sseSSE
From the server's entry in the official MCP Registry.
Files
Trading Signals
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 comes with its reasoning — a transmission chain showing exactly which data points led to the trade — and is verified against real prices. Pro adds the trade levels: entry, stop-loss, take-profit, leverage and position size. See Pricing.
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, Cursor, Codex, VS Code)
Works without a key (3-signal preview). For the full feed, get a free key at https://signals.x70.ai/mcp-signup?utm_content=github-readme — the API Key page has copy-paste setup for every client.
Claude Code
claude mcp add --transport http trading-signals https://signals.x70.ai/mcp # with a key: claude mcp add --transport http trading-signals https://signals.x70.ai/mcp --header "X-Api-Key: YOUR_KEY"
Claude app (Desktop & claude.ai) — Customize → Connectors → Add custom connector, URL https://signals.x70.ai/mcp. Connectors have no header field, so with a key use https://signals.x70.ai/mcp?apiKey=YOUR_KEY.
Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"trading-signals": {
"url": "https://signals.x70.ai/mcp",
"headers": { "X-Api-Key": "YOUR_KEY" }
}
}
}
Codex (~/.codex/config.toml, key in env var SIGNALS_API_KEY)
[mcp_servers.trading-signals] url = "https://signals.x70.ai/mcp" bearer_token_env_var = "SIGNALS_API_KEY"
Tools: get_signals, get_signal, get_signal_history, get_stats (register is deprecated — keys come from the dashboard).
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
| Feature | Description |
|---|---|
| Live signals | Bullish/bearish with full trade setup -- entry, SL, TP, leverage, position size |
| Transmission chains | 2-4 causal reasoning steps per signal with specific data points |
| 50+ coins | Dynamically selected from top volume, funding, and OI on Hyperliquid perps |
| Confidence score | 0-100 AI conviction level per signal |
| Auto-verification | Every signal tracked against real prices -- TP/SL monitoring every minute |
| Paper trading P&L | Real trades on a virtual account with optimal position sizing |
| Dynamic risk control | Confidence-based leverage caps, volatility-calibrated SL, automatic regime detection |
| Performance stats | Hit rate, cumulative ROI, profit factor, breakdown by direction/coin/model |
Signal Preview
Example rows — not live data. Entry, SL, TP and leverage are returned on Pro; the free plan returns coin, direction, confidence and the reasoning.
| Coin | Dir | Conf | Entry | SL | TP | Lev | R/R | Type |
|---|---|---|---|---|---|---|---|---|
| BTC | Bull | 87% | $68,450 | $67,200 | $71,800 | 3x | 2.7 | momentum_shift |
| ETH | Bear | 82% | $3,840 | $3,920 | $3,680 | 2x | 2.0 | funding_anomaly |
| SOL | Bull | 79% | $142.50 | $138.00 | $152.00 | 2x | 2.1 | volume_spike |
API Endpoints
| Method | Path | Auth | Description |
|---|---|---|---|
| POST | /api/skill/register | No | Deprecated — returns signup_required; get keys at /mcp-signup |
| GET | /api/skill/signals | API key | List signals (active/verified/all) |
| GET | /api/skill/signals/:id | API key | Single signal detail |
| GET | /api/skill/stats | API key | Performance statistics |
Example Prompts
Once installed, ask your AI agent:
- "Get me the latest crypto trading signals"
- "Show me today's highest-confidence BTC and ETH signals"
- "What's the 30-day hit rate for these trading signals?"
- "Build me a Python script that fetches crypto signals and alerts me on Telegram"
- "Show me verified signals from the last week -- what hit TP?"
Pricing
| No key | Free key | Pro | |
|---|---|---|---|
| Signals | 3-signal preview | every live signal — coin, direction, confidence, reasoning | everything in Free + entry, stop-loss, take-profit, leverage, position size |
| History | — | 24 hours | 30 days |
| Rate limit | 30 calls/hour per IP | 300 calls/hour | effectively unlimited |
| Price | free | free | $35/month or $300/year |
New accounts get a 14-day Pro trial — no card. Nothing is charged unless you subscribe. Pricing & sign-up
Contributing
Issues, feature requests, and PRs are welcome. Please open an issue first to discuss changes.
If this is useful, a ⭐ helps other people find it.
License
Proprietary — the source is readable; a paid license is required for commercial redistribution. See LICENSE.txt.
Facts
- Kind
- MCP server
- Group
- Uncategorized
- Stars
- 120
- Language
- Python
- Last push
- 2026-10-08
- Forks
- 14
- MCP Registry
- io.github.roman-rr/trading-signals
- Homepage
- signals.x70.ai/skills
- Topics
- agent-skills, api, claude-code, claude-skills, codex, crypto, signals, trading, ai-trading, crypto-signals, skill, trading-signals
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