This article describes how to build an AI system to answer questions about the Great Attractor using Model Context Protocol (MCP). In part 1 you’ll learn how to use Mage Pro to create a data pipeline that connects knowledge sources to AI systems, including fetching PDF data, cleaning the text, and preparing it for us with Antrhopic’s Claude. This approach allows for more accurate, source-specific AI responses rather than relying solely on general training data.

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Mage Pro is a fully managed, scalable data pipeline platform that builds on the open-source Mage by adding enterprise security, team collaboration, 24/7 support, and automated infrastructure management. It offers a simpler, faster, and more cost-effective alternative to Airflow, Dagster, Prefect, and dbt Cloud, making it ideal for teams ready to scale or upgrade from Mage OSS.

This guide demonstrates how to integrate your Mage Pro environment with Visual Studio Code and Cursor. By implementing Tailscale VPN and Remote SSH connections, you'll gain the ability to develop and manage your data pipelines directly within your preferred code editor, enhancing your development workflow and productivity. The integration provides a coding experience with full access to your Mage Pro features while leveraging the advanced editing capabilities of modern code editors.