MCPInstall

financial data fetcher

by gracefullightBusiness & Finance

Fetches real-time and historical market data, financial news, and fundamental data for trading decisions

Installs
539
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/gracefullight/stock-checker --skill financial-data-fetcher
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads financial data fetcher automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Financial Data Fetcher Skill

Provides comprehensive market data access for AI trading agents.

Overview

This skill fetches:

  • Real-time and historical OHLCV price data
  • Financial news from multiple sources
  • Fundamental data (P/E ratios, earnings, market cap)
  • Market snapshots and quotes

Tools

1. get_price_data

Fetches historical or real-time price data for symbols.

Parameters:

  • symbols (required): List of ticker symbols (e.g., ["AAPL", "MSFT"])
  • timeframe (optional): "1Min", "5Min", "1Hour", "1Day" (default: "1Day")
  • start_date (optional): Start date in YYYY-MM-DD format
  • end_date (optional): End date in YYYY-MM-DD format
  • limit (optional): Number of bars to fetch (default: 100)

Returns:

{
  "success": true,
  "data": {
    "AAPL": [
      {
        "timestamp": "2025-10-30T09:30:00Z",
        "open": 150.25,
        "high": 151.50,
        "low": 149.80,
        "close": 151.00,
        "volume": 5000000
      }
    ]
  }
}

Usage:

python scripts/fetch_data.py get_price_data --symbols AAPL MSFT --timeframe 1Day --limit 30

2. get_latest_news

Fetches recent financial news for symbols.

Parameters:

  • symbols (required): List of ticker symbols
  • limit (optional): Number of news items (default: 10)
  • sources (optional): News sources to query (default: all)

Returns:

{
  "success": true,
  "data": [
    {
      "symbol": "AAPL",
      "headline": "Apple announces new product line",
      "summary": "...",
      "source": "Bloomberg",
      "url": "https://...",
      "published_at": "2025-10-30T08:00:00Z",
      "sentiment": "positive"
    }
  ]
}

3. get_fundamentals

Fetches fundamental data for symbols.

Parameters:

  • symbols (required): List of ticker symbols
  • metrics (optional): Specific metrics to fetch (default: all)

Returns:

{
  "success": true,
  "data": {
    "AAPL": {
      "market_cap": 3000000000000,
      "pe_ratio": 28.5,
      "eps": 6.42,
      "dividend_yield": 0.52,
      "beta": 1.2,
      "52_week_high": 200.00,
      "52_week_low": 120.00
    }
  }
}

4. get_market_snapshot

Gets current market snapshot with real-time quotes.

Parameters:

  • symbols (required): List of ticker symbols

Returns:

{
  "success": true,
  "data": {
    "AAPL": {
      "price": 151.00,
      "bid": 150.98,
      "ask": 151.02,
      "bid_size": 100,
      "ask_size": 200,
      "last_trade_time": "2025-10-30T15:59:59Z",
      "volume": 50000000,
      "vwap": 150.75
    }
  }
}

Implementation

See scripts/fetch_data.py for full implementation using Alpaca API and yfinance.

Rate Limiting

  • Alpaca API: 200 requests/minute
  • News API: 25 requests/day (free tier)
  • Caching: 5-minute cache for real-time data

Error Handling

All tools return consistent error format:

{
  "success": false,
  "error": "Error message",
  "error_code": "INVALID_SYMBOL"
}

Integration Example

from claude_skills import load_skill

skill = load_skill("financial_data_fetcher")

# Get price data
result = skill.get_price_data(
    symbols=["AAPL", "MSFT"],
    timeframe="1Day",
    limit=30
)

if result["success"]:
    prices = result["data"]
    # Use in trading strategy

FAQ

What does the financial data fetcher skill do?

Fetches real-time and historical market data, financial news, and fundamental data for trading decisions

How do I install financial data fetcher?

Run npx skills add https://github.com/gracefullight/stock-checker --skill financial-data-fetcher in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/financial-data-fetcher/ (personal) or .claude/skills/financial-data-fetcher/ (project).

Which AI agents can use financial data fetcher?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is financial data fetcher safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains financial data fetcher?

It is published by gracefullight in gracefullight/stock-checker. It has 539 recorded installs.

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