Financial Datasets MCP Server
Officialby financial-datasets
Financial Datasets MCP Server connects AI assistants to 30 years of stock market data and live crypto prices. It's the most comprehensive financial data MCP server available, with 1,945 GitHub stars and growing. The server exposes 10 specialized tools through the Model Context Protocol. For equities: get_income_statements, get_balance_sheets, get_cash_flow_statements, get_current_stock_price, get_historical_stock_prices, and get_company_news. For crypto: get_available_crypto_tickers, get_crypto_prices, and get_historical_crypto_prices. What sets it apart from generic data APIs: every tool is purpose-built for the questions AI agents actually ask during financial analysis. Ask Claude to "analyze Apple's revenue growth over 5 years" and the MCP server returns structured income statements. Ask it to "compare Bitcoin and Ethereum performance this quarter" and the crypto tools deliver formatted data the LLM can reason over directly. Built with Python 3.10+ and the uv package manager. Runs locally on your machine, keeping API keys secure with sub-100ms response times. Configuration is a single .env file with your Financial Datasets API key. Tested with Claude Desktop as the primary integration target, though any MCP-compatible client works — including Cursor and other AI coding assistants. The server launches via uv run server.py after a straightforward setup process. Use cases range from AI-powered portfolio research and automated due diligence to building financial analysis agents that can pull real data instead of hallucinating numbers. If you work with financial data and use an MCP-compatible AI assistant, this server eliminates the manual data-fetching step entirely.
Installation
Key Features
- ✓10 specialized tools covering equities and cryptocurrency data
- ✓30 years of historical stock market data coverage
- ✓Native cryptocurrency support alongside traditional equities
- ✓Income statements, balance sheets, and cash flow statements
- ✓Real-time and historical stock/crypto price data
- ✓Company news aggregation
- ✓Sub-100ms response times running locally
- ✓Python 3.10+ with uv package manager
Use Cases
- →AI-powered portfolio analysis and stock screening
- →Automated financial due diligence on companies
- →Comparing crypto vs equity performance with natural language
- →Building financial research agents for Claude or Cursor
- →Revenue trend analysis using historical income statements
- →Real-time stock/crypto price monitoring through AI assistants