📈 Stock Snapshot MCP

A minimal, educational MCP server for stock snapshots using the free Alpha Vantage API.

Stock Snapshot MCP is a tiny, easy-to-read reference implementation of a
Model Context Protocol (MCP) server.

It exposes a single, clean tool: get_stock_snapshot(symbol, history_days=60)

This tool queries the free Alpha Vantage API and returns:

• Company metadata (name, sector, industry, exchange, currency)
• Latest quote (price, change, percent, previous close, volume)
• Basic fundamentals (PE ratio, EPS, market cap, ROE, profit margin — if available)
• Recent OHLCV price history (daily candles)

This project is ideal for:

• People learning MCP through a small, realistic example
• Developers building RAG-ready financial research agents
• Students who want a simple MCP server to extend or customize
• Anyone experimenting with Claude / ChatGPT MCP integrations
• Mini-projects where clean, structured stock data is useful

Note: This project is not affiliated with Alpha Vantage.
It is designed solely as an educational reference.
Not for real trading or investment decisions.

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✨ Features

• 📦 Lightweight Python package (pip install stock-snapshot-mcp)
• 🔌 MCP server (stdio) compatible with Claude Desktop, ChatGPT MCP, and other tools
• 🔍 Clean JSON output suitable for LLM reasoning & agent pipelines

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⚙️ Installation

1. Install the package

pip install stock-snapshot-mcp

2. Set your Alpha Vantage API key

Create a .env file or export it:

export ALPHAVANTAGE_API_KEY=your_key_here

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🚀 Running the MCP server

Once installed:

stock-snapshot-mcp

This launches the MCP server over stdio, ready to be used by MCP-compatible clients. To see logs:

STOCK_SNAPSHOT_MCP_LOG=info stock-snapshot-mcp

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🧪 Testing locally (Python)

You can call the helper function directly:

from stock_snapshot_mcp import get_stock_snapshot
import asyncio

async def main():
    snap = await get_stock_snapshot("AAPL", history_days=5)
    print(snap)

asyncio.run(main())

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🧪 Example: manual MCP client

For debugging or learning MCP, you can run:

python examples/manual_mcp_client.py

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🖥️ Using with Claude Desktop (example config)

Place this inside Claude’s configuration file:

macOS

~/Library/Application Support/Claude/claude_desktop_config.json

Windows

%APPDATA%\Claude\claude_desktop_config.json

Add:

{
  "mcpServers": {
    "stock-snapshot-mcp": {
      "command": "stock-snapshot-mcp",
      "env": {
        "ALPHAVANTAGE_API_KEY": "your_key_here"
      }
    }
  }
}

Restart Claude Desktop → you should see Stock Snapshot MCP under "Connected Servers".

Then you can ask Claude:

Call get_stock_snapshot for AAPL and summarize the fundamentals.

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📤 Using with ChatGPT MCP (OpenAI Desktop / browser)

Add a new MCP connection:

• Command: stock-snapshot-mcp
• Environment:
  • ALPHAVANTAGE_API_KEY=your_key_here And that’s it.

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📚 Tool Definition (JSON Schema)

get_stock_snapshot(
  symbol: string (required),
  history_days: integer (optional, 1–100, default: 60)
)

Output fields

{
  "symbol": "AAPL",
  "meta": {
    "name": "Apple Inc",
    "sector": "TECHNOLOGY",
    "industry": "CONSUMER ELECTRONICS",
    "currency": "USD",
    "exchange": "NASDAQ"
  },
  "quote": {
    "price": 278.78,
    "change": -1.92,
    "change_percent": -0.684,
    "previous_close": 280.7,
    "latest_trading_day": "2025-12-05",
    "volume": 47265845
  },
  "fundamentals": {
    "market_cap": 4137203794000,
    "pe_ratio_ttm": 37.32,
    "eps_ttm": 7.47,
    "roe_ttm": 1.714,
    "profit_margin": 0.269
  },
  "daily_history": [ ... ]
}

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🧱 Project Structure

stock-snapshot-mcp/
  ├─ src/
  │   └─ stock_snapshot_mcp/
  │        ├─ __init__.py             # Public API
  │        ├─ alpha_vantage_client.py # API wrapper
  │        └─ server.py               # MCP stdio server
  ├─ tests/
  │   └─ test_smoke.py
  ├─ examples/
  │   ├─ claude_desktop_config.json
  │   └─ chat_prompt_examples.md
  ├─ .env.example
  ├─ pyproject.toml
  ├─ README.md
  ├─ LICENSE
  └─ .gitignore

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🛑 Disclaimer

This project:

• is not affiliated with Alpha Vantage
• is not financial advice
• is provided for educational and research purposes only

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📜 License

MIT License — free to use, modify, and learn from.