Instead of each AI integration being custom-coded for every app, MCP provides a shared standard, so MCP-compliant systems can ...

Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...

In an era of seemingly infinite AI-generated content, the true differentiator for an organization will be data ownership and ...

Google’s Chrome team previews WebMCP, a proposed web standard that lets websites expose structured tools for AI agents instead of relying on screen scraping.

Learn how Zero-Knowledge Proofs (ZKP) provide verifiable tool execution for Model Context Protocol (MCP) in a post-quantum world. Secure your AI infrastructure today.

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing ...

Learn how to secure Model Context Protocol (MCP) deployments with post-quantum cryptography and agile policy enforcement for LLM tools.

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

Visual Studio Code 1.109 introduces enhancements for providing agents with more skills and context and managing multiple agent sessions in parallel.

Abstract: The Model Context Protocol (MCP) plays a crucial role in extending the capabilities of Large Language Models (LLMs) by enabling integration with external tools and data sources. However, the ...

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