Alpaca Trading MCP Server

Alpaca Trading MCP Server

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A Python implementation of the Model Context Protocol (MCP) server that allows Large Language Models like Claude to control and access Alpaca's trading functionalities, including account management, market data, and order placement, primarily for MacOS/Linux users.
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Apr 24 2025
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Alpaca Trading MCP Server
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What is Alpaca Trading MCP Server?

This MCP server for Alpaca trading enables Large Language Models (LLMs) such as Claude to interact seamlessly with the Alpaca trading API. It supports account management, real-time market data access, placing and managing orders, and monitoring current positions and recent trades. The server acts as a bridge, allowing AI-powered trading applications or assistants to perform trading activities securely and efficiently, facilitating automation of trading strategies and simplified data-driven decisions in financial markets.

Who will use Alpaca Trading MCP Server?

  • Developers
  • Quantitative traders
  • Financial analysts
  • AI/ML practitioners
  • Fintech startups

How to use the Alpaca Trading MCP Server?

  • Step1: Clone the GitHub repository.
  • Step2: Set up a virtual environment and install dependencies using uv sync.
  • Step3: Create a .env file with your Alpaca API keys and enable paper trading.
  • Step4: Configure Claude for Desktop with the MCP server path.
  • Step5: Launch the MCP server and Claude, then start issuing trading commands.

Alpaca Trading MCP Server's Core Features & Benefits

The Core Features
  • Account information retrieval
  • Market data access (quotes, historical bars)
  • Order placement (market and limit orders)
  • Order management (cancel orders)
  • Position and recent trade monitoring
The Benefits
  • Enables AI-powered automated trading
  • Simplifies interaction with trading APIs
  • Supports real-time market decision making
  • Facilitates integration with LLMs like Claude
  • Secure and scalable for development and research

Alpaca Trading MCP Server's Main Use Cases & Applications

  • Automated trading bots driven by AI
  • Financial data analysis through LLMs
  • AI-assisted portfolio management
  • Research on trading algorithms
  • Integration of AI in fintech applications

FAQs of Alpaca Trading MCP Server

Developer

  • MardiantoS