mcp-market-data

mcp-market-data

Live market data for AI agents. 8 tools: real-time crypto prices, OHLCV candles, order books, market cap rankings, trending coins, technical analysis (RSI/SMA/z-score), asset comparison, and Fear & Greed index. Zero API keys, zero dependencies.

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README

mcp-market-data

First MCP server for live market data. Gives any AI agent real-time crypto prices, candlestick charts, order books, technical analysis, and market sentiment.

Zero API keys. Zero dependencies. Works out of the box.

In Action (live data, March 25 2026)

BTC: $70,741  24h: +2.3%  Vol: $39.8B  MCap: $1.42T
ETH: $2,162   24h: +2.5%  Vol: $17.5B
SOL: $91.70   24h: +3.2%  Vol: $3.9B

Technical Analysis (BTC 30-day):
  RSI(14): 64.85 → NEUTRAL
  SMA(20): $69,884
  Trend: SIDEWAYS
  Z-score: 0.57 → NORMAL
  Volatility: 101.62% annualized

Order Book (BTC/USDT):
  Spread: $15.17 (0.021%)
  Best bid: $70,750.15
  Best ask: $70,765.32

Fear & Greed Index:
  2026-03-25: 14 (Extreme Fear)
  2026-03-24: 11 (Extreme Fear)

Trending: TAO, PENGU, SIREN, HYPE, BP

Install

Add to Claude Code settings.json:

"mcpServers": {
  "market": {
    "command": "npx",
    "args": ["-y", "mcp-market-data"]
  }
}

Tools

8 tools for any AI agent:

Tool What it does
price Current price, 24h change, volume, market cap, ATH for any crypto
candles OHLCV candlestick data — 1 day to 1 year of history
order_book Live order book depth — top 20 bids/asks, spread, mid price
market_cap Top 100 cryptos ranked by market cap
trending What's trending right now on the market
analyze Technical analysis: RSI, SMA(20/50), volatility, z-score, trend signals
compare Compare up to 10 assets side by side
feargreed Crypto Fear & Greed Index — 7-day sentiment history

Examples

"What's BTC at?"

price(symbol: "BTC")
→ { price: 71234.56, change_24h: +2.3%, volume_24h: $28B, market_cap: $1.4T }

"Is ETH overbought?"

analyze(symbol: "ETH")
→ { rsi_14: 72.3, rsi_signal: "OVERBOUGHT", trend: "UPTREND", zscore: 1.8 }

"Show me the order book for SOL"

order_book(symbol: "SOL")
→ { bids: [...], asks: [...], spread: $0.02, spread_pct: "0.01%" }

"What's trending?"

trending()
→ { coins: [{ name: "Pepe", symbol: "PEPE", rank: 28 }, ...] }

"Compare BTC vs ETH vs SOL"

compare(symbols: "BTC,ETH,SOL")
→ [{ symbol: "BTC", price: 71234, change_24h: +2.3% }, ...]

"What's the market mood?"

feargreed()
→ [{ value: 73, label: "Greed", date: "2026-03-25" }, ...]

Data Sources

  • CoinGecko — prices, market cap, trending, candles (free, no key)
  • Binance.US — order book depth (free, no key)
  • Alternative.me — Fear & Greed Index (free, no key)

Test Results

12/12 evals passing on live data:
  ✓ Initialize returns version
  ✓ Lists all 8 tools
  ✓ Price returns BTC with real data
  ✓ Price returns ETH
  ✓ Candles returns OHLC array
  ✓ Order book returns bids and asks
  ✓ Market cap returns ranked list
  ✓ Trending returns coins
  ✓ Analyze returns RSI + signals
  ✓ Compare returns multiple assets
  ✓ Fear & Greed returns index
  ✓ Handles bad symbol gracefully

Why

  • AI agents discussing markets can't check live prices. Now they can.
  • No API keys to configure. No accounts to create. Just install and go.
  • Technical analysis built in — agents get actionable signals, not just numbers.
  • First MCP server purpose-built for financial data.

License

MIT

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