finance-mcp

Real-time stock & crypto market data for LLMs, over the Model Context Protocol.

finance-mcp is an MCP server that lets any MCP-compatible client (Claude Desktop, Cline, Continue, …) pull live equity and crypto quotes, historical candles, and common technical indicators — so the model can reason over real market data instead of hallucinating it.

┌──────────────┐   MCP (stdio)   ┌───────────────┐   HTTP   ┌──────────────┐
│  LLM client  │ ◀─────────────▶ │  finance-mcp  │ ◀──────▶ │  yfinance    │
│ (Claude etc.)│   tool calls    │    server     │          │  CoinGecko   │
└──────────────┘                 └───────────────┘          └──────────────┘

Demo

The session above is illustrative; the JSON matches the real shape returned by compare_assets. Regenerate it any time with python scripts/make_demo.py.

Related MCP server: Financial Data MCP Server

Features

• get_stock_quote — latest price, day change, % change for any ticker (AAPL, SPY, …)

• get_quotes — batch quotes for many tickers, fetched concurrently

• get_stock_history — OHLCV candles over a configurable period/interval

• get_crypto_price — live crypto quotes via CoinGecko (no API key needed)

• analyze_stock — SMA(20/50), EMA(20), and RSI(14) computed in-process

• compare_assets — rank a mix of stocks and crypto by their % move

• Provider layer isolates each upstream API behind a small, fully unit-tested surface

• Async throughout; blocking provider I/O is offloaded to worker threads

Install

git clone https://github.com/porkornrawee/finance-mcp.git
cd finance-mcp
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"

Use with Claude Desktop

Add this to your claude_desktop_config.json (see examples/):

{
  "mcpServers": {
    "finance": {
      "command": "finance-mcp",
      "args": []
    }
  }
}

Restart Claude Desktop, then ask things like:

"What's the RSI on NVDA over the last 6 months, and how does it compare to Bitcoin's 24h move?"

Tools

Note: crypto uses CoinGecko ids (the slug), e.g. bitcoin, not BTC.

Development

ruff check .     # lint
mypy src         # type-check
pytest -q        # tests (network-free; CoinGecko is mocked with respx)

The indicator math in indicators.py is intentionally pure and dependency-free so it can be tested deterministically without hitting any API.

Disclaimer

This project is for informational and educational purposes only. It is not financial advice. Market data is provided by third parties on a best-effort basis and may be delayed or inaccurate.

License

MIT © porkornrawee — see LICENSE.