According to bcherny, Anthropic’s Claude Code now supports installing Plugins, MCPs, and Skills to extend LSPs, agents, and custom hooks across major languages, with deployment via a team settings.json for auto-adding marketplaces; as reported by the linked Claude Code docs and Boris Cherny’s post, teams can install from the official Anthropic plugin marketplace or host a private company marketplace and start with the /plugin command (source: Boris Cherny on X; docs: Anthropic Claude Code documentation at code.claude.com/docs/en/discover-plugins). This creates business opportunities to standardize AI coding assistance, enforce enterprise governance on tool access, and scale language server protocol coverage across polyglot codebases, according to the same sources.

According to Claude (@claudeai) on X, Cowork is now available on Windows with full feature parity to macOS, including file access, multi-step task execution, plugins, and MCP connectors. As reported by the official Claude post, this cross-platform release enables Windows enterprises to operationalize autonomous multi-step workflows, integrate local and network file systems, and standardize plugin-driven automations across teams. According to the same source, MCP connectors expand interoperability with developer tools and enterprise systems, creating opportunities for IT to consolidate AI agents, reduce integration costs, and accelerate workflow automation proof-of-concepts on Windows fleets.

According to God of Prompt on Twitter, a new YouTube video has been released providing a comprehensive setup guide for MCP and AI agents. The guide covers essential steps for configuring MCP with AI agents, highlighting practical applications and workflow improvements for businesses and developers. As reported by God of Prompt, this video is aimed at helping professionals unlock the full potential of AI-driven agent architectures and streamline automation processes.

According to God of Prompt on Twitter, MCP (Model Context Protocol) has rapidly gained prominence as the leading interoperability standard in the AI industry, enabling seamless communication between AI agents and human oversight systems. Major industry players including Anthropic, OpenAI, and Google are actively building on MCP to address the challenges of multi-agent systems that lack coordination. This protocol is set to transform the development of multi-agent AI solutions, enhancing efficiency, safety, and oversight—critical factors for businesses deploying advanced autonomous systems (source: God of Prompt, Twitter, Jan 7, 2026).

According to Anthropic (@AnthropicAI), MCP has officially become part of the Agentic AI Foundation, a directed fund operated under the Linux Foundation. Co-creator David Soria Parra shared that MCP, initially developed as a protocol in a London conference room, is now recognized as an open standard for connecting AI systems to various external tools and platforms. This integration under the Linux Foundation is expected to accelerate the adoption of MCP in enterprise and open-source AI projects, creating new business opportunities for interoperability and ecosystem growth (source: AnthropicAI, Dec 11, 2025).