Anthropic Donates Model Context Protocol to Linux Foundation, Co-founds Agentic AI Foundation
Anthropic is donating the Model Context Protocol (MCP) to the newly established Agentic AI Foundation (AAIF), a directed fund under the Linux Foundation co-founded by Anthropic, Block, and OpenAI, with support from Google, Microsoft, AWS, Cloudflare, and Bloomberg. MCP has reached significant adoption milestones including 10,000+ active public servers, 97M+ monthly SDK downloads, and integration into ChatGPT, Gemini, Microsoft Copilot, and Visual Studio Code. The AAIF will also house Block's goose and OpenAI's AGENTS.md as founding projects, aiming to foster open, vendor-neutral standards for agentic AI. MCP governance will remain community-driven with existing maintainers continuing their roles.
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Anthropic Open-Sources the Model Context Protocol (MCP)
Anthropic has released the Model Context Protocol (MCP), an open standard enabling secure, two-way connections between AI assistants and external data sources such as business tools, content repositories, and development environments. The protocol introduces a client-server architecture with SDKs, local MCP server support in Claude Desktop, and a repository of pre-built connectors for systems like GitHub, Slack, Google Drive, and Postgres. Early adopters include Block and Apollo, with development tool companies Zed, Replit, Codeium, and Sourcegraph integrating MCP into their platforms. The goal is to replace fragmented, per-source integrations with a single universal protocol, improving context availability for AI agents.
OpenAI co-founds Agentic AI Foundation, donates AGENTS.md
OpenAI has co-founded the Agentic AI Foundation, a new organization housed under the Linux Foundation, aimed at developing open and interoperable standards for safe agentic AI systems. As part of this initiative, OpenAI is donating AGENTS.md, a specification document, to the foundation. The move signals OpenAI's intent to shape industry-wide norms around agentic AI through open governance structures rather than proprietary control.
Anthropic Donates $20 Million to Public First Action for AI Policy Advocacy
Anthropic is contributing $20 million to Public First Action, a new bipartisan 501(c)(4) organization focused on AI governance and public education. The donation is intended to support policies including AI model transparency requirements, a federal AI governance framework, export controls on AI chips, and targeted regulation of high-risk AI applications such as bioweapons and cyberattacks. Anthropic frames the move as consistent with its safety mission, noting that effective AI governance would increase scrutiny of frontier AI companies including itself. The organization is led by both Republican and Democratic strategists and will work across party lines.
Anthropic publishes framework for safe and trustworthy agent development
Anthropic released a formal framework for responsible agent development, articulating principles around human oversight, transparency, value alignment, and privacy for autonomous AI agents. The document draws on Claude Code as a reference implementation and cites enterprise deployments at Trellix and Block as real-world examples. The framework is positioned as a contribution to emerging industry standards for agentic AI systems, acknowledging open technical challenges in value alignment measurement and oversight calibration.
MCP for Research: How to Connect AI to Research Tools
Hugging Face published a blog post explaining how the Model Context Protocol (MCP) can be used to connect AI agents to research tools and data sources. The post covers practical patterns for integrating AI with academic and scientific workflows using MCP as a standardized interface layer. This is a commentary/tutorial piece aimed at researchers looking to extend AI agent capabilities into domain-specific tooling.
Microsoft, NVIDIA, and Anthropic Announce Major Strategic Partnerships with $15B Investment and $30B Azure Compute Commitment
Anthropic has announced simultaneous strategic partnerships with Microsoft and NVIDIA, committing to purchase $30 billion of Azure compute capacity and up to one gigawatt of compute with NVIDIA Grace Blackwell and Vera Rubin systems. NVIDIA and Microsoft are investing up to $10 billion and $5 billion respectively in Anthropic, while Claude models (Sonnet 4.5, Opus 4.1, Haiku 4.5) will be available on Microsoft Foundry and across the Copilot product family. Anthropic and NVIDIA are also establishing a deep technology partnership to co-optimize model performance and future NVIDIA architectures for Anthropic workloads. Amazon remains Anthropic's primary cloud and training partner.
Data Points: OpenAI and Microsoft sever their exclusive relationship
This edition of The Batch covers several major AI industry developments: OpenAI has revised its partnership with Microsoft, ending exclusivity while retaining Microsoft as primary cloud partner through 2032 and gaining freedom to deploy on AWS and Google Cloud. DeepSeek released V4 model weights featuring 1M-token context and Huawei Ascend chip optimization, though it trails leading open and closed models on aggregate benchmarks. Google and Amazon are deepening investments in Anthropic with up to $40B and $25B respectively in funding-for-compute deals, and an agentic AI system autonomously designed a functional RISC-V CPU from a 219-word spec in 12 hours.
Anthropic forms $200 million partnership with the Gates Foundation
Anthropic and the Gates Foundation are committing $200 million over four years in grant funding, Claude usage credits, and technical support across global health, life sciences, education, and economic mobility. Key technical deliverables include healthcare AI benchmarks and evaluation frameworks, disease modeling integrations with the Institute for Disease Modeling, drug/vaccine screening tools for neglected diseases, and agricultural AI datasets. The partnership is led by Anthropic's Beneficial Deployments team and includes public goods such as open datasets and benchmarks. This represents a significant scaling of Anthropic's non-commercial AI deployment strategy.