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The Future of MCP: Persistent Memory, Long-Term Context, and Adaptive Agents

By Dick Weisinger

This is 6th in the MCP Series. Model Context Protocol (MCP) is evolving well beyond its early roots as a simple standard for connecting AI models to data and tools. Today’s MCP landscape is all about pushing boundaries toward persistent

Designing Elegant MCP Actions: Best Practices for Reusability

By Dick Weisinger

Part 5 of the MCP Series. With the rise of Model Context Protocol (MCP) as a standard for integrating AI with real-world systems, MCP action authors are redefining what clean, reusable, and trustworthy automation means. The difference between a maintainable

MCP vs Plugins vs Grounding: Demystifying AI Agent Architecture

By Dick Weisinger

Part 4 of the MCP Series It’s easy for even seasoned developers to get tangled up in the terminology: MCP, plugins, and grounding are sometimes tossed around as if they’re interchangeable, when in fact, each plays a unique role in

Agent-to-Agent Communication with MCP: Beyond Single-Agent Workflows

By Dick Weisinger

Part 3 of the MCP series. The Model Context Protocol (MCP) is transforming the AI landscape by enabling robust agent-to-agent communication and true multi-agent orchestration. While MCP originally centered on giving single agents a standardized way to access external tools,