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Financial Datasets MCP Server

financial-datasets/mcp-server · 2.3k stars · Python · MIT

MCP server An MCP server for interacting with the Financial Datasets stock market API.

Install

The repo has no one-line install. Follow its README.

Open the repo

Files

README.md

Financial Datasets MCP Server

Introduction

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

It allows Claude and other AI assistants to retrieve income statements, balance sheets, cash flow statements, stock prices, and market news directly through the MCP interface.

Available Tools

This MCP server provides the following tools:

  • 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.

Setup

Prerequisites

  • Python 3.10 or higher
  • uv package manager

Installation

  1. Clone this repository:

    git clone https://github.com/financial-datasets/mcp-server
    cd mcp-server
  2. If you don't have uv installed, install it:

    # macOS/Linux
    curl -LsSf https://astral.sh/uv/install.sh | sh
    
    # Windows
    curl -LsSf https://astral.sh/uv/install.ps1 | powershell
  3. Install dependencies:

    # Create virtual env and activate it
    uv venv
    source .venv/bin/activate  # On Windows: .venv\Scripts\activate
    
    # Install dependencies
    uv add "mcp[cli]" httpx  # On Windows: uv add mcp[cli] httpx
    
  4. Set up environment variables:

    # Create .env file for your API keys
    cp .env.example .env
    
    # Set API key in .env
    FINANCIAL_DATASETS_API_KEY=your-financial-datasets-api-key
  5. Run the server:

    uv run server.py

Connecting to Claude Desktop

  1. Install Claude Desktop if you haven't already

  2. Create or edit the Claude Desktop configuration file:

    # macOS
    mkdir -p ~/Library/Application\ Support/Claude/
    nano ~/Library/Application\ Support/Claude/claude_desktop_config.json
  3. Add the following configuration:

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

    Replace /path/to/uv with the result of which uv and /absolute/path/to/financial-datasets-mcp with the absolute path to this project.

  4. Restart Claude Desktop

  5. You should now see the financial tools available in Claude Desktop's tools menu (hammer icon)

  6. Try asking Claude questions like:

    • "What are Apple's recent income statements?"
    • "Show me the current price of Tesla stock"
    • "Get historical prices for MSFT from 2024-01-01 to 2024-12-31"

Facts

Kind
MCP server
Repo
financial-datasets/mcp-server
Group
Uncategorized
Stars
2.3k
License
MIT
Language
Python
Last push
2025-06-05
Forks
350
Homepage
www.financialdatasets.ai

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