Linux Foundation Launches Agentic AI Foundation with MCP Donation from Anthropic
OpenAI, Anthropic, and Block join forces under Linux Foundation to standardize AI agent development with Model Context Protocol.
The Linux Foundation has announced the formation of the Agentic AI Foundation (AAIF), bringing together the industry's leading AI companies to standardize how AI agents connect with tools and data. The foundation launches with three cornerstone projects: Anthropic's Model Context Protocol (MCP), Block's goose, and OpenAI's AGENTS.md.
Industry-Wide Collaboration
Platinum members include Amazon Web Services, Anthropic, Block, Bloomberg, Cloudflare, Google, Microsoft, and OpenAI. Gold members span Adyen, Cisco, Datadog, Docker, IBM, JetBrains, Oracle, Salesforce, SAP, Shopify, and many others—representing unprecedented collaboration between AI competitors.
MCP's New Home
"MCP started as an internal project to solve a problem our own teams were facing. When we open sourced it in November 2024, we hoped other developers would find it as useful as we did," said Mike Krieger, Chief Product Officer at Anthropic. The donation comes just one year after MCP's initial release.
MCP has seen remarkable adoption: official SDKs exist for all major programming languages with 97 million+ monthly downloads across Python and TypeScript. More than 1.1 million public GitHub repositories now import an LLM SDK, representing 178% year-over-year growth.
Foundation Projects
The three anchor projects serve complementary purposes: MCP provides the universal standard protocol for connecting AI models to tools and data; goose offers an open source, local-first AI agent framework; and AGENTS.md establishes a simple standard for giving AI coding agents project-specific guidance.
Governance Continuity
For MCP specifically, the governance model introduced earlier continues unchanged. The maintainers who have been stewarding the protocol remain in control, guided by community input through the SEP (Specification Enhancement Proposal) process.
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