@blockrun/alpha
An AI-powered crypto trading MCP server providing technical analysis, market sentiment, and token swap execution via 0x and DexScreener. It enables users to manage portfolios with built-in risk limits and search historical trade data using vector-based memory.
README
@blockrun/alpha
AI-powered crypto trading MCP server with technical analysis, sentiment, and execution tools.
Installation
claude mcp add alpha npx @blockrun/alpha
Tools
| Tool | Description |
|---|---|
alpha_signal |
Technical analysis (RSI, MACD, EMA) via CoinGecko |
alpha_dex |
DEX market data via DexScreener |
alpha_sentiment |
Social sentiment analysis (requires BlockRun wallet) |
alpha_swap |
Token swaps on Base via 0x |
alpha_portfolio |
Position tracking and management |
alpha_memory |
Vector-based trade memory search |
alpha_risk |
Risk management checks |
Usage Examples
> "Get ETH technical signals"
Uses alpha_signal to fetch RSI, MACD, EMA indicators
> "Check PEPE market data"
Uses alpha_dex for DexScreener data
> "Find similar trades to ETH breakout"
Uses alpha_memory for semantic search
> "Check if $500 ETH buy passes risk limits"
Uses alpha_risk to validate against position limits
Data Sources
- CoinGecko API - Price data and technical indicators (free)
- DexScreener - DEX market data (free)
- 0x API - Swap execution (free)
- BlockRun Twitter - Sentiment analysis (paid, requires wallet)
Risk Limits (Hardcoded)
| Rule | Value |
|---|---|
| Max position size | 15% |
| Max total exposure | 50% |
| Daily loss limit | 5% |
| Min cash reserve | 50% |
| Stop loss | 15% |
Data Storage
Data is stored locally in ~/.blockrun/alpha/alpha.db:
- Portfolio positions
- Trade history
- Trade memory with vector embeddings
Requirements
- Node.js 18+
- BlockRun wallet (optional, for sentiment and swaps)
Related
- @blockrun/mcp - AI model access
- alpha-trader - Claude Code trading project
License
MIT
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