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Microsoft releases skills-for-fabric: MCP systems for Microsoft Fabric via CLI, VSCode, and Claude
Microsoft published an open-source Python repository providing a collection of skills and MCP (Model Context Protocol) servers enabling users of CLI, VSCode, and Claude to operate over Microsoft Fabric. The tooling connects AI assistants to Microsoft's data analytics and engineering platform via the MCP protocol. This is a concrete example of MCP adoption by a major enterprise vendor for production data infrastructure.
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Microsoft 'skills' repo: MCP servers and agent grounding primitives for coding agents
Microsoft has published an open-source TypeScript repository called 'skills' that provides MCP servers, custom agents, and an Agents.md specification to ground coding agents within SDKs. The project appears to be infrastructure for standardizing how coding agents discover and invoke capabilities. With 2,656 stars and modest daily growth, it is an early-stage but notable contribution to the agent tooling ecosystem from a major lab.
Microsoft Azure DevOps MCP Server
Microsoft has published an open-source Model Context Protocol (MCP) server for Azure DevOps, enabling AI agents to interact directly with Azure DevOps services. The repository is implemented in TypeScript and has accumulated 1,710 GitHub stars. This extends the MCP ecosystem with enterprise DevOps tooling, allowing agents to perform operations such as managing pipelines, work items, and repositories.
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.
AWS releases official agent toolkit with MCP servers and plugins for AI agents
AWS has published an official, AWS-supported toolkit on GitHub providing MCP servers, skills, and plugins to enable AI agents to interact with AWS services. The repository is Python-based and has accumulated 966 stars. This represents AWS's formal entry into the MCP server ecosystem for agentic workloads.
IBM releases mcp-context-forge: AI gateway and proxy for MCP, A2A, and REST/gRPC APIs
IBM has open-sourced mcp-context-forge, a Python-based AI gateway, registry, and proxy that sits in front of MCP, A2A, or REST/gRPC APIs and exposes a unified endpoint with centralized discovery, guardrails, and management. The tool is designed to optimize agent and tool calling workflows and supports plugins. With ~3,800 GitHub stars, it represents a notable infrastructure contribution to the MCP/A2A ecosystem from a major enterprise vendor.
Claude Sonnet 4.5, Haiku 4.5, and Opus 4.1 Now Available in Microsoft Foundry and Microsoft 365 Copilot
Anthropic and Microsoft are expanding their partnership to make Claude Sonnet 4.5, Haiku 4.5, and Opus 4.1 available in public preview on Microsoft Foundry, enabling Azure customers to build production applications and enterprise agents using existing Azure agreements and billing. Claude is also being integrated into Microsoft 365 Copilot's Agent Mode in Excel, allowing users to generate formulas, analyze data, and iterate on spreadsheet solutions. The Foundry integration supports serverless deployment with Python, TypeScript, and C# SDKs, and includes capabilities such as code execution, web search, citations, vision, and prompt caching. This partnership reduces procurement friction for enterprises already invested in the Microsoft ecosystem.
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.
Google Labs Releases Stitch Skills: Agent Skills Library for MCP-Compatible Coding Agents
Google Labs has published stitch-skills, a TypeScript library of Agent Skills designed to work with the Stitch MCP server. The library follows the Agent Skills open standard, enabling compatibility with multiple coding agents including Gemini CLI, Claude Code, Cursor, and Antigravity. The repository has accumulated 5,597 stars with 70 added today, indicating active community interest in the MCP/agent tooling ecosystem.