Learn how to seamlessly integrate Anthropic’s Claude API with MCP and Mage Pro to automate workflows and unlock advanced prompt engineering. This step-by-step guide covers setup, code examples, and best practices for building smarter, AI-powered tools—perfect for developers and teams looking to boost productivity and stay ahead in the world of AI automation.

Solstice Energy’s small data team automated complex reporting with Mage Pro, cutting errors and stress while empowering junior staff-all without heavy infrastructure.

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.

A grounded comparison of two data pipeline platforms, based on real-world migration conversations

Master Google Cloud data engineering with this in-depth guide. Learn GCP tools, best practices, certification paths, and how to advance your career.

Learn to build robust ML pipelines with RAG technology, model evaluation metrics, and SHAP explainability. Essential guide for AI/data engineers.

Master data pipeline orchestration for ETL, ML & AI. Compare top tools, learn best practices, and level up your data engineering skills.

Discover the best data ingestion tools and platforms in the modern age. Master data ingestion using Python with practical code examples and tutorials.