InfoQ Homepage Model Context Protocol (MCP) Content on InfoQ
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Buoyant Announces MCP Support for Linkerd, Extending Service Mesh Capabilities to Agentic AI Traffic
Buoyant, the company behind the open-source Linkerd service mesh, announced that Linkerd now supports the Model Context Protocol (MCP), making it the first service mesh to natively manage, secure, and observe agentic AI traffic in Kubernetes environments.
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AI Agents Fail Manipulation Tests in Microsoft's Magentic Marketplace Simulation
Researchers at Microsoft, working in collaboration with Arizona State University, have introduced Magentic Marketplace, an open-source simulation environment designed to study how LLM-based agents behave in multi-agent economic systems. The platform addresses a growing need in AI research as autonomous agents gain capabilities in software development.
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KubeCon NA 2025 - Salesforce’s Approach to Self-Healing Using AIOps and Agentic AI
AIOps and Agentic AI technologies can help in developing solutions to intelligently analyze Kubernetes cluster health, automatically diagnose problems, and orchestrate issue resolutions with minimal human intervention. Vikram Venkataraman and Srikanth Rajan spoke at KubeCon + CloudNativeCon NA 2025 Conference about Salesforce’s approach to self-healing systems using AIOps and AI Agents.
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Microsoft Moves Azure DevOps MCP Server from Preview to General Availability
Microsoft announced in October 2025 that its Azure DevOps MCP Server, a local Model Context Provider designed to bring richer context to AI assistants like GitHub Copilot, has exited public preview and become generally available.
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The Architectural Shift: AI Agents Become Execution Engines While Backends Retreat to Governance
A fundamental shift in enterprise software architecture is emerging as AI agents transition from assistive tools to operational execution engines, with traditional application backends retreating to governance and permission management roles. This transformation is accelerating across sectors, with 40% of enterprise applications expected to include autonomous agents by 2026.
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MCP Support in Visual Studio Reaches General Availability
Microsoft announced in August 2025 that support for the Model Context Protocol (MCP) is generally available in Visual Studio. MCP enables AI agents within Visual Studio to connect to external tools and services via a consistent protocol.
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Google Cloud Outlines Key Strategies for Securing Remote MCP Servers
Google Cloud published a guide that lays out strategies for securing remote Model Context Protocol (MCP) server deployments, particularly in contexts where AI systems depend on external tools, databases, and APIs.
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Paper2Agent Converts Scientific Papers into Interactive AI Agents
Stanford's Paper2Agent framework revolutionizes research by transforming static papers into interactive AI agents that execute analyses and respond to queries. Leveraging the Model Context Protocol, it simplifies reproducibility and enhances accessibility, empowering users with dynamic, autonomous tools for deeper scientific exploration and understanding.
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GitHub MCP Registry Offers a Central Hub for Discovering and Deploying MCP Servers
GitHub has recently launched its Model Context Protocol (MCP) Registry, designed to help developers discover and use the AI tools directly from within their working environment. The registry currently lists over 40 MCP servers from Microsoft, GitHub, Dynatrace, Terraform, and many others.
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OpenAI Adds Full MCP Support to ChatGPT Developer Mode
OpenAI has rolled out full Model Context Protocol (MCP) support in ChatGPT, bringing developers a long-requested feature: the ability to use custom connectors for both read and write actions directly inside chats. The feature, now in beta under Developer Mode, effectively turns ChatGPT into a programmable automation hub capable of interacting with external systems or internal APIs.
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QCon AI New York 2025 Schedule Published, Highlights Practical Enterprise AI
The QCon AI New York 2025 schedule is now live for its Dec 16-17 event. Focused on moving AI from PoC to production, the program offers a practical roadmap for senior engineers & tech leaders. It addresses the real-world challenges of building, scaling, and deploying reliable, enterprise-grade AI systems, helping organizations overcome the hurdles of productionizing their AI initiatives.
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The New Data Commons MCP Server Unlocks a Wealth of Public Datasets for AI Developers
Google has recently introduced the Data Commons Model Context Protocol (MCP) Server, a tool that enables AI developers and researchers to easily access the public dataset collection available through Data Commons.
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Microsoft Introduces Logic Apps as MCP Servers in Public Preview
Microsoft has unveiled a public preview of Azure Logic Apps (Standard) as Model Context Protocol (MCP) servers, enabling developers to build and manage AI agents easily. This new capability promotes seamless integration with diverse systems, enhancing scalability and reusability while simplifying the development process for enterprise workflows.
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Introducing the MCP Registry
The Model Context Protocol (MCP) ecosystem is enhancing AI development with a public registry for server discovery and a secure gateway for agent interactions. This initiative, featuring the recently launched MCP Registry and the Linux Foundation's Agentgateway project, streamlines the management of AI tools, fostering collaboration and security for engineering teams.
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How LinkedIn Built Enterprise Multi-Agent AI on Existing Messaging Infrastructure
LinkedIn extended its generative AI application platform to support multi-agent systems by repurposing its existing messaging infrastructure as an orchestration layer. This allowed the company to scale AI agents without building new coordination technology from scratch and achieve global availability while supporting complex multi-step workflows through agent coordination.