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Use plain English to analyze markets, build strategies, and trade via Alpaca.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "alpaca-mcp-server" yet — see the docs or source repo.
Fetch the last 6 months of price data for AAPL, MSFT, and SPY, calculate cumulative return, volatility, and max drawdown, and summarize which has the better risk-return profile in a table.
A structured market analysis with key metric comparisons and a brief conclusion.
Design a BTC/USD trading strategy based on 20-day and 50-day moving average crossovers, including entry, exit, and stop-loss rules, and provide logic steps suitable for backtesting.
A clear strategy spec, rule definitions, and steps ready for implementation or backtesting.
Check my account buying power and current positions, then place a limit order to buy 10 shares of NVDA at 1% below the current market price, and confirm the order status.
An account and positions summary, the order execution result or failure reason, and the latest order status.
Connect AI to real trading infrastructure for data, backtests, signals, and execution.
Analyze trading setups across IDX, forex, and crypto markets without execution.
Access live market data, indicators, financial news, and Python-based analysis.
Enable AI agents to connect brokers and manage trades through a Git-like workflow.
Let AI read a MetaTrader 5 account and place trades with approval.
Access stock quotes, historical data, and technical indicators through MCP.