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Add financekit-mcp to Market Data & Data Sources (#348)

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Co-authored-by: Rayo Mcqueen <rayomcqueen@MacBook-Air-de-Rayo.local>
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2026-04-22 13:22:12 +02:00
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@@ -362,6 +362,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [yfinance](https://github.com/ranaroussi/yfinance) - `Python` - Yahoo! Finance market data downloader (+faster Pandas Datareader).
- [coinpaprika-api-python-client](https://github.com/coinpaprika/coinpaprika-api-python-client) - `Python` - Free crypto market data API client. 12,000+ coins, 350+ exchanges, tickers, OHLCV, historical prices. No API key for free tier.
- [defeatbeta-api](https://github.com/defeat-beta/defeatbeta-api) - `Python` - An open-source alternative to Yahoo Finance's market data APIs with higher reliability.
- [financekit-mcp](https://github.com/vdalhambra/financekit-mcp) - `Python` - MCP server (Model Context Protocol) exposing 17 tools for AI agents to perform quantitative analysis: real-time stock quotes, full technical analysis (RSI, MACD, Bollinger, ADX, Stochastic, ATR, OBV + pattern detection with structured verdicts), crypto prices via CoinGecko, risk metrics (VaR, Sharpe, Sortino, Beta, Max Drawdown), correlation matrix, options chains, earnings calendar, sector rotation, and portfolio analysis. Works with Claude Desktop, Cursor, Windsurf. No API keys for core tools. FastMCP 3.2.
- [dexpaprika-sdk-python](https://github.com/coinpaprika/dexpaprika-sdk-python) - `Python` - Free DEX data API client. 34 blockchains, 30M+ pools, 27M+ tokens, real-time SSE streaming, OHLCV. No API key needed.
- [Helium MCP](https://heliumtrades.com/mcp-page/) - `Python` - Live stock/ETF/crypto data with AI-generated bull/bear cases and price forecasts, proprietary ML options pricing with probability ITM and fair value, and news bias scoring across 5,000+ sources. Available as MCP server or API. Free tier: 50 queries, no signup. [GitHub](https://github.com/connerlambden/helium-mcp)
- [findatapy](https://github.com/cuemacro/findatapy) - `Python` - Python library to download market data via Bloomberg, Quandl, Yahoo etc.