What is alpaca-mcp-server?

The Alpaca MCP Server is a comprehensive Model Context Protocol server that integrates Alpaca's Trading API. It enables natural language trading operations for stocks, options, and crypto through various AI assistants, supporting portfolio management and real-time market data.

alpaca-mcp-server: The Alpaca MCP Server is a comprehensive Model Context Protocol server… (★ 878, MIT)

Features

01Market Data: Real-time and historical data for stocks, crypto, and options.

02Order Management: Place various order types for stocks, crypto, and options.

03Account Management: View balances, buying power, and portfolio history.

04Options Trading: Advanced options capabilities including contract search and strategy placement.

05Watchlist Management: Create, update, and manage asset watchlists.

Why choose it

+Market Data: Real-time and historical data for stocks, crypto, and options.

+Execute natural language trading commands for stocks, options, and crypto.

+Covers 9 supported environments or platforms, which is helpful for broader deployment needs.

+Ships with a public repository and a MIT license, which makes adoption and review easier.

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.

Compatibility

Python

Runtime

Verified via docs

Package Runner

Verified via docs

Claude Desktop

MCP Client

Verified via docs

Cursor

MCP Client

Verified via docs

VS Code

MCP Client

Verified via docs

PyCharm

MCP Client

Verified via docs

Quick start

$ uvx alpaca-mcp-server

Use cases

↳Execute natural language trading commands for stocks, options, and crypto.

↳Query real-time and historical market data for various assets.

↳Manage personal trading accounts, including balances, positions, and orders.

↳Create and update watchlists for monitoring specific securities.

↳Automate complex trading strategies by combining multiple operations.

How it compares

≈alpaca-mcp-server sits in the API Integration category, so it makes more sense to evaluate it alongside tools like awesome-mcp-servers instead of in isolation.

≈If your main need is closer to "Execute natural language trading commands for stocks, options, and crypto.", that use case is a better lens for comparison than broad feature checklists alone.

≈alpaca-mcp-server uses a MIT license, and community traction are both easier to judge in category context.