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AI Companies Embrace Model Context Protocol as Emerging Industry Standard

AI Companies Embrace Model Context Protocol as Emerging Industry Standard
Leading artificial‑intelligence firms including Anthropic, OpenAI, Google, Microsoft, and Block are co‑operating around the Model Context Protocol (MCP), a framework that lets AI agents access external tools and data in a uniform way. Anthropic has donated MCP to the Linux Foundation, positioning it as an open‑source standard overseen by a neutral body. The collaboration aims to simplify integration, improve agent performance, and address security concerns, while laying groundwork for a marketplace of AI‑compatible services. Leia mais →

Big Tech Partners with Linux Foundation to Standardize AI Agents

Big Tech Partners with Linux Foundation to Standardize AI Agents
Major AI players including Anthropic, OpenAI and Block have joined forces with the Linux Foundation to launch the Agentic AI Foundation (AAIF). The new nonprofit aims to establish common standards for AI agents, centering on the Model Context Protocol (MCP) – dubbed a “USB‑C port for AI.” By creating a shared framework, the coalition hopes to simplify integration of AI models with data sources, accelerate interoperability, and spur broader adoption of agentic AI across products and services. Leia mais →

Linux Foundation Launches Agentic AI Foundation to Standardize Open‑Source AI Agents

Linux Foundation Launches Agentic AI Foundation to Standardize Open‑Source AI Agents
The Linux Foundation has created the Agentic AI Foundation (AAIF), a neutral hub for open‑source AI‑agent projects. Anthropic, Block and OpenAI are anchoring the effort with donations of key technologies: Anthropic’s Model Context Protocol (MCP), Block’s Goose agent framework, and OpenAI’s AGENTS.md instruction file. The group aims to prevent a fragmented landscape of proprietary AI agents by fostering interoperability, shared safety patterns, and industry‑wide standards. Major members such as AWS, Bloomberg, Cloudflare and Google have joined, signaling broad support for an open, mix‑and‑match approach to AI‑agent development. Leia mais →