Algorithmic Securities Interface Gateway (ASIG)

This component functions as a Model Context Protocol (MCP) endpoint specifically engineered for the Alpaca brokerage API infrastructure. It empowers sophisticated Language Models (LLMs), such as Claude, to programmatically interface with trading functionalities via conversational prompts.

Core Capabilities

• 💹 Market Intelligence Retrieval - Obtain instantaneous security quotes and comprehensive historical price trajectory records.
• 🏦 Fiscal Position Reporting - Ascertain current account capital reserves, available purchasing authority, and overall status.
• 📊 Portfolio Oversight - Review the composition of ongoing asset holdings and their associated performance metrics.
• ✍️ Trade Instruction Issuance - Programmatically submit equity acquisition or disposition directives (e.g., market or limit orders) using plain language.
• 📜 Transaction Log Administration - Inspect, monitor the status of, and revoke pending trade authorizations.

System Requirements

• Runtime Environment: Python version 3.10 or newer.
• Authentication Credentials: Valid Alpaca API credentials.
• Client Application: Compatibility with Claude for Desktop or any compliant MCP client implementation.

Deployment Procedure

1. Secure a local copy of the source repository: bash git clone https://github.com/YOUR_USERNAME/alpaca-mcp.git cd alpaca-mcp

2. Install necessary runtime dependencies: bash pip install mcp alpaca-py python-dotenv

3. Establish an environment variable configuration file (.env) containing sensitive access tokens:

API_KEY_ID=your_alpaca_api_key API_SECRET_KEY=your_alpaca_secret_key

Operationalization

Initiating the Gateway Service

Activate the service listener with the following command:

bash python alpaca_mcp_server.py

Client Application Integration (e.g., Claude for Desktop)

1. Launch the Claude desktop application.
2. Navigate to the system configuration panel.
3. Access the 'Developer' section and select 'Edit Configuration'.
4. Inject the gateway configuration details into the claude_desktop_config.json manifest:

{ "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" } } } }

1. Save the modified configuration and relaunch the client application to establish connectivity.

Exposed Tool Interface

The gateway furnishes the following callable functions for LLM utilization:

• get_account_info() - Retrieves comprehensive account summaries, including custodial balances and operational status.
• get_positions() - Enumerates every asset currently held within the managed portfolio.
• get_stock_quote(symbol) - Fetches the most recent transaction price data for a specified ticker symbol.
• get_stock_bars(symbol, days) - Acquires time-series historical price data for a security over a defined recent period.
• get_orders(status, limit) - Lists authorized trade requests filtered by their current fulfillment status.
• place_market_order(symbol, side, quantity) - Submits an instruction to transact at the prevailing market rate.
• place_limit_order(symbol, side, quantity, limit_price) - Submits an instruction to transact only if the specified price threshold is met.
• cancel_all_orders() - Revokes all pending, unexecuted trade authorizations.
• close_all_positions(cancel_orders) - Liquidates all existing asset holdings.

Usage Scenarios (Illustrative Prompts)

Upon successful linkage with the client interface, users may issue directives such as:

• "What are my current fiduciary capital levels and available buying power?"
• "Display the assets currently owned in the account."
• "Retrieve the newest quote data for Apple stock (AAPL)."
• "Chart the historical price movements for Tesla (TSLA) spanning the past ten trading sessions."
• "Execute a purchase of five units of Microsoft (MSFT) using a market order."
• "Initiate the sale of ten units of Amazon (AMZN) with a ceiling price set at $130.00."
• "Nullify every open trade instruction."

Operational Note

By default, this interface operates within Alpaca's simulated trading environment. To engage actual monetary assets, modify the initialization parameter paper=True to paper=False within the TradingClient instantiation logic.

Security Advisory

This gateway component will possess the authorization to query and initiate transactional activity against your Alpaca account. Rigorous scrutiny of all LLM-generated trade proposals is mandatory prior to final authorization.

Licensing Information

Distributed under the MIT License.