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AI app: alpaca-mcp-trading-agent for Alpaca AI Trading Agents Hackathon

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alpaca-mcp-trading-agent

alpaca-mcp-trading-agent

Vercel

Created by team AgenticAlpha on August 30, 2026

Alpaca Anthropic Claude

Options Alpha Agents

AgenticAlpha is an open-source, multi-agent algorithmic trading infrastructure built specifically for the LabLab.ai x Alpaca AI Trading Agents Hackathon. Our platform bridges advanced Large Language Models with production-ready execution environments by leveraging Anthropic's Model Context Protocol (MCP) standard. The core architecture splits responsibilities across specialized, autonomous AI agents. The Research Agent scans live financial options chains and derives complex, risk-defined option spreads based on real-time Implied Volatility parameters. Before execution, the trade payloads are passed to a deterministic Execution Guardrail Agent. This critical security layer validates total capital risk allocations to ensure maximum loss parameters are never breached. Finally, trades are smoothly dispatched through the Alpaca Python SDK Trading API onto the paper trading network.

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Run an untrusted npm/PyPI package, GitHub repo, or URL in a sealed, disposable Vultr sandbox. Watch what it does and get a verdict based on its actual behaviour. Every escape attempt is contained and recorded.

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A sandboxed browser agent powered by our own Firefox engine. True agentic loop with vision verification, human approval gate, and MCP endpoint for AI agents.

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Finds revenue leaks in billing exports without letting the data leak: model-written pandas runs in a throwaway gVisor sandbox on Vultr (no network, no secrets, hard limits), a second model checks every sentence, and each answer has a re-runnable receipt.

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