Integration · MODEL CONTEXT PROTOCOL

Financial Datasets MCP Server

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

连接能力

Financial Datasets MCP Server 为 AI Agent 提供什么

来源目录未提供结构化功能列表,请在使用前阅读源仓库文档。

安全

MCP 收录不等于安全审核

MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前,请检查代码、环境变量、网络行为、软件包来源与维护状态。

README

仓库文档

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"
在 GitHub 查看 README

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