Financial Datasets MCP Server

Add to your client

Copy the config for your MCP client and paste it into its config file.

{
  "mcpServers": {
    "financial-datasets-mcp-server": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/financial-datasets-mcp-server",
        "run",
        "server.py"
      ],
      "env": {
        "FINANCIAL_DATASETS_API_KEY": "<your-financial-datasets-api-key>"
      }
    }
  }
}

Before you start

• A Financial Datasets API key from financialdatasets.ai — set as the FINANCIAL_DATASETS_API_KEY environment variable
• Python 3.10 or higher
• Astral uv to create the environment and run server.py

About Financial Datasets MCP Server

Tools & capabilities (10)

When to use it

• Use it when you need an agent to pull company income statements, balance sheets, or cash flow statements by ticker.
• Use it when building a research assistant that needs current and historical stock prices.
• Use it when you want recent company news fed into an LLM summary or analysis.
• Use it when you need crypto pricing (current and historical) alongside equities.
• Use it when you prefer explicit, single-purpose tools over a generic call-any-endpoint design.

Quick setup

1. 1Get an API key from financialdatasets.ai.
2. 2Clone the repo: git clone https://github.com/financial-datasets/mcp-server.
3. 3Install uv, create a virtualenv (uv venv), and install deps (uv add "mcp[cli]" httpx).
4. 4Set FINANCIAL_DATASETS_API_KEY in a .env file.
5. 5Add the server (uv run server.py) to claude_desktop_config.json with the absolute project path, then restart Claude Desktop.
6. 6Verify by requesting a get_current_stock_price for a ticker.

Financial Datasets MCP Server FAQ