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Archestra.AI is a sophisticated multi-agent personal assistant framework designed to bridge the gap between Large Language Models and real-world data silos through the Model Context Protocol (MCP). Architected with a focus on modularity and scalability, the project is containerized using Docker and deployed on a Google Cloud Platform (GCP) Kubernetes cluster managed via Helm commands for robust orchestration. The technical core of the system lies in its hierarchical agentic structure; specifically, a Financial Advisor agent that orchestrates three dedicated sub-agents utilizing Alpha Vantage for market data, Google News for context, and Google Trends for sentiment analysis. Beyond finance, the system integrates a comprehensive ecosystem of MCP servers, including Firecrawl for web scraping, Google Workspace for scheduling, and GitHub for developer workflow automation. By leveraging remote and self-hosted infrastructure for custom MCP servers, Archestra.AI provides a seamless, real-time interface (deployed on Vercel) that transforms static LLM interactions into an actionable, data-driven personal command center.