Alpaca Trading MCP Server

Name: Alpaca Trading MCP Server
Author: laukikk

@laukikk

Repository

About Alpaca Trading MCP Server

MCP for the Alpaca trading API to manage stock and crypto portfolios, place trades, and access market data

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "alpaca-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@laukikk/alpaca-mcp",
        "--client",
        "claude"
      ]
    }
  }
}

Tools

Get current account information

Place a market order to buy or sell a stock

Place a limit order to buy or sell a stock at a specified price

Place a stop order to buy or sell a stock when it reaches a specified price

Place a stop-limit order combining stop and limit order features

Cancel an open order by its ID

Close an open position for a specific symbol

Get a comprehensive summary of the portfolio

Overview

What is Alpaca Trading MCP Server?

The Alpaca Trading MCP Server is a Model Context Protocol (MCP) server that provides an interface to the Alpaca trading API. It allows users to manage their stock and crypto portfolio, place trades, and access market data via MCP-compatible clients.

How to use Alpaca Trading MCP Server?

Install the server via Smithery using npx -y @smithery/cli install @laukikk/alpaca-mcp --client claude or manually by cloning the repository and installing dependencies with pip install -e . or uv pip install -e .. Configure your Alpaca Paper Trading API key and secret in a .env file, then run python src/server.py to start the server. For Claude Desktop, add the server configuration to claude_desktop_config.json.

Key features of Alpaca Trading MCP Server

Account Management: view account details, balances, and portfolio status.
Trading: place market, limit, stop, and stop-limit orders.
Portfolio Management: view positions, calculate performance, close positions.
Market Data: access real-time quotes and historical price data.
Asset Information:

Comments

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