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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…
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…
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,…
Part 2 of the MCP series. The Model Context Protocol (MCP) is quickly earning a reputation as the “USB-C for AI integrations,” allowing any compliant AI agent to instantly connect and interact with a vast array of external apps, APIs,…
Artificial intelligence has reached a notable milestone in medical diagnostics, achieving accuracy levels that rival or surpass those of trained physicians in some controlled scenarios. Recent studies have demonstrated that advanced AI systems can outperform doctors in identifying complex disease…