How does Financial Datasets integrate with AI assistants?

Financial Datasets uses the Model Context Protocol (MCP) to allow AI assistants like Claude to directly query and retrieve financial data. This enables AI to answer questions about stock performance, financial health, and market trends.

What kind of financial data can I access?

You can access income statements, balance sheets, cash flow statements, current and historical stock prices with customizable date ranges, and the latest market news for specific stocks.

What credentials does it need?

It reads `FINANCIAL_DATASETS_API_KEY` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Financial Datasets MCP Server

Provides access to real-time and historical stock market data for AI assistants through the Model Context Protocol (MCP).

Local serverstdioPython★ 2.3k

What is the Financial Datasets MCP Server?

Provides access to real-time and historical stock market data for AI assistants through the Model Context Protocol (MCP).

What it actually does

This is a Model Context Protocol (MCP) server that provides access to stock market data from Financial Datasets.

Configuration

Python 3.10 or higher - uv package manager

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
get_income_statements	Get income statements for a company.
get_balance_sheets	Get balance sheets for a company.
get_cash_flow_statements	Get cash flow statements for a company.
get_current_stock_price	Get the current / latest price of a company.
get_historical_stock_prices	Gets historical stock prices for a company.
get_company_news	Get news for a company.
get_available_crypto_tickers	Gets all available crypto tickers.
get_crypto_prices	Gets historical prices for a crypto currency.
get_historical_crypto_prices	Gets historical prices for a crypto currency.
get_current_crypto_price	Get the current / latest price of a crypto currency.

How to install the Financial Datasets MCP Server

{
  "mcpServers": {
    "financial-datasets": {
      "command": "/path/to/uv",
      "args": [
        "--directory",
        "/absolute/path/to/financial-datasets-mcp",
        "run",
        "server.py"
      ]
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

Python 3.10 or higher - uv package manager

Example prompts to try

“Use Financial Datasets to get income statements.”
“Use Financial Datasets to get balance sheets.”
“Use Financial Datasets to get cash flow statements.”

Frequently asked questions

Financial Datasets provides an API for accessing real-time and historical stock market data, including income statements, balance sheets, cash flow statements, stock prices, and market news. It's designed for seamless integration with AI assistants through the Model Context Protocol (MCP).