M

Miguelyad26 Alpaca MCP Server

The Alpaca MCP Server is a service that enables LLMs (such as Claude) to interact with the Alpaca trading API through natural language, supporting stock trading, position query, market data acquisition, and account management.
2 points
5

What is the Alpaca MCP Server?

The Alpaca MCP Server is a bridge service that allows you to manage your Alpaca trading account using everyday language through an AI assistant like Claude. It eliminates the technical barriers of traditional trading platforms, enabling you to complete stock trading and queries through conversations.

How to use the Alpaca MCP Server?

You need to install a Python environment and configure your Alpaca API key, then start the server and connect it to an MCP client such as Claude. After that, you can perform trading operations through natural language instructions.

Applicable scenarios

Suitable for non - professional traders who want to manage their investment portfolios through simple conversations, or users who want to quickly obtain market data and execute trades through an AI assistant.

Main features

Account information queryView your account balance, purchasing power, and account status in real - time
Market dataObtain real - time quotes and historical price data of stocks
Position managementView your current positions and their performance
Order tradingPlace market orders and limit orders through natural language
Order managementQuery, track, and cancel orders

Advantages and limitations

Advantages
No need to learn complex trading interfaces; you can operate using natural language
Integrated with an AI assistant, which can intelligently interpret your trading intentions
Supports comprehensive account management and trading functions
Uses a simulated trading environment by default, reducing learning risks
Limitations
Requires basic knowledge of Python environment configuration
Relies on the understanding accuracy of third - party AI assistants
The real - time performance may be slightly lower than that of professional trading platforms
Functions are limited to the markets and products supported by Alpaca

How to use

Installation preparation
Ensure that your system has Python 3.10 or a higher version installed
Get an API key
Apply for an API key from the Alpaca official website
Install dependency packages
Install the necessary Python packages
Configure environment variables
Create a.env file and fill in your API key
Start the server
Run the server script
Connect the client
Configure the server connection in an MCP client such as Claude

Usage examples

Query account informationUnderstand the current account balance and available funds
View positionsUnderstand the currently held stocks and their performance
Execute a tradeBuy or sell stocks

Frequently Asked Questions

Will this service use real money for trading?
Which markets and products are supported?
What is the trading execution speed?
How to ensure trading security?

Related resources

Alpaca official documentation
Complete documentation for the Alpaca trading API
MCP protocol description
Detailed description of the Model Context Protocol
GitHub repository
Project source code
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "alpaca": {
      "command": "python",
      "args": [
        "/path/to/alpaca_mcp_server.py"
      ],
      "env": {
        "API_KEY_ID": "your_alpaca_api_key",
        "API_SECRET_KEY": "your_alpaca_secret_key"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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