The AI company Anthropic, which was founded in 2021 by former OpenAI employees, has developed the Model Context Protocol (MCP) with the aim of standardizing communication between Large Language Models ...

Creating a custom Model Context Protocol (MCP) client using Gemini 2.5 Pro provides an opportunity to design a highly adaptable and efficient communication solution. By combining a robust backend, a ...

The GitHub Copilot SDK turns the Copilot CLI into a cross-platform agent host with Model Context Protocol support.

Imagine a world where your AI tools don’t just answer questions or generate text but seamlessly connect with the systems and data you rely on every day. Whether it’s retrieving real-time information, ...

Model Context Protocol makes it far easier to integrate LLMs and your APIs. Let’s walk through how MCP clients and servers communicate, securely. Every new protocol introduces its own complexities.

An MCP Server uses the Model Context Protocol (MCP) to link AI models with tools and data sources. These lightweight programs securely handle tasks like accessing files, databases, or APIs, enabling ...

The Model Context Protocol (MCP) is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: ...

Unlock AI's full potential for DevOps: MCP connects models to tools/data, automating actions, enabling custom analysis and smarter cloud management. Traditionally, the main benefit that generative AI ...

As model context protocol paves the way as a foundational rulebook for effective agentic AI, security issues surrounding deploying and connecting to MCP servers need to be understood. MCP is becoming ...