Alpaca Launches MCP Server with AI Support: Detailed Video Guide and Open Source Code

In late July, Alpaca introduced an official MCP server for its Trading API and immediately published a five-minute video tutorial on how to deploy it locally and connect it to Claude AI. According to the developers, the new server should simplify building trading strategies in natural language and shorten the gap between idea and trade execution.

What the Video Shows

The author of the video “How to Set Up Alpaca MCP Server to Trade with Claude AI” demonstrates a five-step setup:

Cloning the repository and creating a virtual environment
Configuring environment variables with Alpaca API keys
Starting the server (stdio or HTTP transport)
Connecting to Claude Desktop via mcp.json
First trading requests in natural language

This way, even without deep Python knowledge, you can quickly test trading through an AI assistant.

Key Features of the MCP Server

Market data: real-time quotes, historical bars, options and Greeks
Account management: balance, buying power, account status
Positions and orders: opening, liquidation, trade history
Options: contract search, multi-leg strategies
Corporate actions: earnings calendar, splits, dividends
Watchlist and asset search

The full list of features is available in the repository README.

GitHub Repository

The project is open-sourced under the MIT license, has already gathered 170+ stars and ~50 forks, and is actively receiving community pull requests. The latest update is dated July 31, 2025.

git clone https://github.com/alpacahq/alpaca-mcp-server.git
cd alpaca-mcp-server
python -m venv venv && source venv/bin/activate
pip install -r requirements.txt
python alpaca_mcp_server.py

Why This Matters

The MCP server turns the Alpaca API into a “sandbox” for AI models: you can now hedge positions, build watchlists, and place limit orders simply by formulating commands in natural language. For traders, this means:

Faster strategy prototyping without extra code
Integration with Claude AI, VS Code, Cursor, and other development tools
Ability to connect multiple accounts (paper and live) through environment variables

Alpaca continues its course toward democratizing algorithmic trading, and the community is already adding support for new languages and transports. If you’ve been wanting to try AI-powered trading, now is a great time to start.