Building a custom MCP client from scratch.

Daily Dose of DS offers a daily dose of inspiration, education, and motivation for data scientists and aspiring data professionals. Through bite-sized articles, tutorials, and curated resources, readers embark on a journey to master the art and science of data analysis, machine learning, and artificial intelligence. By staying updated with the latest trends, techniques, and tools in data science, readers can hone their skills and stay ahead in this rapidly evolving field.

Daily Dose of Data Science | Avi Chawla | Substack

Part 3 of an MCP crash course focuses on building a custom MCP client from scratch, moving beyond prebuilt solutions like Cursor or Claude. It explores the full MCP lifecycle, demonstrates the client-server architecture through practical implementation, and shows how MCP differs from traditional API and function calling approaches. The series addresses the M×N problem in tool integrations and presents MCP as a standardized protocol that enables dynamic tool discovery and invocation at runtime, facilitating plug-and-play interoperability between different AI systems.

The Full MCP Blueprint—Part 3