AI agents have mastered trivia but choke on multisig calls. Anthropic’s Model Context Protocol (MCP) changes that by offering ...

The Linux Foundation announced at the Open Source Summit in Denver that it will now host the Agent2Agent (A2A) protocol.

Learn how MCP’s standardized framework simplifies AI tool collaboration, eliminates custom integrations, and boosts ...

The Model Context Protocol (MCP)—a rising open standard designed to help AI agents interact seamlessly with tools, data and interfaces—just hit a significant milestone.

Anthropic’s Model Context Protocol (MCP) is one of the first attempts to fill this gap. It proposes a clean, stateless protocol for how large language models (LLMs) ...

Model Context Protocol (MCP) is an open protocol framework that allows AI systems to connect directly to a data server, standardizing how information provides context to LLMs.

Chances are, unless you're already deep into AI programming, you've never heard of Model Context Protocol (MCP). But, trust me, you will. MCP is rapidly emerging as a foundational standard for the ...

Enter the Model Context Protocol (MCP), an open source standard introduced by Anthropic that’s quickly gaining momentum in the AI world.Backed by major players like OpenAI and Google, MCP is ...

Model Context Protocol (MCP), the company said in its announcement, lets developers build secure two-way connections between AI-powered tools and the data sources they require to do their jobs ...

The Model Context Protocol. At the end of 2024, Anthropic released the specification of the Model Context Protocol, intended to standardize connections between LLMs and your own applications and data.