
mcp server
An MCP server for interacting with the Financial Datasets stock market API.
Repository Info
About This Server
An MCP server for interacting with the Financial Datasets stock market API.
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
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
-
Clone this repository:
git clone https://github.com/financial-datasets/mcp-server cd mcp-server -
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 -
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 -
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 -
Run the server:
uv run server.py
Connecting to Claude Desktop
-
Install Claude Desktop if you haven't already
-
Create or edit the Claude Desktop configuration file:
# macOS mkdir -p ~/Library/Application\ Support/Claude/ nano ~/Library/Application\ Support/Claude/claude_desktop_config.json -
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/uvwith the result ofwhich uvand/absolute/path/to/financial-datasets-mcpwith the absolute path to this project. -
Restart Claude Desktop
-
You should now see the financial tools available in Claude Desktop's tools menu (hammer icon)
-
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"
Quick Start
Clone the repository
git clone https://github.com/financial-datasets/mcp-serverInstall dependencies
cd mcp-server
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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