Use MCP tools to check quotes, manage watchlists, and place paper trades.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Alpaca Trading Bot MCP Server" yet — see the docs or source repo.
Check the latest quote for AAPL and briefly summarize the current price information.
Returns the quote data for AAPL with a short explanation.
Please add TSLA, NVDA, and MSFT to my watchlist and show the current list.
Updates the watchlist and returns the latest list of tracked symbols.
Use Alpaca paper trading to buy 10 shares of SPY and tell me the order result.
Returns whether the paper trade was placed successfully and the related order details.
Developers or researchers can connect Alpaca paper trading to an AI assistant through MCP, then use natural language to check quotes, market status, and submit simulated orders.
When users need to track multiple stocks over time, this tool helps add, remove, and view watchlist items for later analysis and trading preparation.
Before requesting quotes or placing paper trades, users can check market hours to avoid making decisions at the wrong time.
It exposes Alpaca paper trading as MCP tools for checking quotes, managing watchlists, checking market hours, and placing simulated trades.
Based on the provided description, it is for Alpaca paper trading, meaning simulated trading. For live trading support, see the source repository.
The known prerequisite is access to Alpaca paper trading. For installation steps, runtime requirements, or API key configuration, see the source repository.
Use natural language to trade, manage portfolios, and query market data via Alpaca.
Use plain English to analyze markets, build strategies, and trade via Alpaca.
Access Alpaca paper account and positions in Claude Desktop and n8n.
Split Alpaca trading MCP into data and orders servers to unlock full tool access.
Enable AI agents to connect brokers and manage trades through a Git-like workflow.
Connect AI to your Trading 212 account for natural-language trading actions.