InfoQ Homepage Model Context Protocol (MCP) Content on InfoQ
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Google Pushes for gRPC Support in Model Context Protocol
Google Cloud is bridging a critical gap for enterprises by introducing a gRPC transport package for the Model Context Protocol (MCP), enhancing integration for businesses already using gRPC. This game-changer reduces development friction, ensuring AI agents seamlessly connect with existing services while boosting performance and efficiency. Join the evolving landscape of AI integration!
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Vercel Introduces Skills.sh, an Open Ecosystem for Agent Commands
Vercel has released Skills.sh, an open-source tool designed to provide AI agents with a standardized way to execute reusable actions, or skills, through the command line.
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OpenAI Begins Article Series on Codex CLI Internals
OpenAI recently published the first in a series of articles detailing the design and functionality of their Codex software development agent. The inaugural post highlights the internals of the Codex harness, the core component in the Codex CLI.
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Google and Retail Leaders Launch Universal Commerce Protocol to Power Next‑Generation AI Shopping
Google launched the Universal Commerce Protocol (UCP), an open standard co-developed with Shopify, Target, and others, enabling AI-driven shopping agents to complete tasks end-to-end from product discovery to checkout and post-purchase management. UCP aims to standardize commerce capabilities, support multiple payment providers, and expand globally. Shaping the next generation of agentic commerce.
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Microsoft Releases Azure Functions Support for Model Context Protocol Servers
Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI agents. With built-in OBO authentication and streamable HTTP transport, it addresses key security concerns. Now supporting multiple languages and self-hosting, MCP empowers developers to deploy with ease while safeguarding sensitive data.
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AI-Powered Code Editor Cursor Introduces Dynamic Context Discovery to Improve Token-Efficiency
Cursor introduced a new approach to minimize the context size of requests sent to large language models. Called dynamic context discovery, this method moves away from including large amounts of static context upfront, allowing the agent to dynamically retrieve only the information it needs. This reduces token usage and limits the inclusion of potentially confusing or irrelevant details.
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LangGrant Unveils LEDGE MCP Server to Enable Agentic AI on Enterprise Databases
LangGrant has launched the LEDGE MCP Server, a new enterprise platform designed to let large language models reason across complex database environments without directly accessing or exposing underlying data.
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Google Cloud Launches Managed MCP Support
Google Cloud's introduction of fully-managed Model Context Protocol (MCP) servers revolutionizes its API infrastructure, streamlining access for developers. This enterprise-ready solution enhances AI integration across services such as Google Maps and BigQuery while promoting wide-scale adoption. New tools ensure governance and security, and are currently in public preview.
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Agentic Postgres: Postgres for Agentic Apps with Fast Forking and AI-Ready Features
Tiger Data, the company behind TimescaleDB, has launched Agentic Postgres, a Postgres-based database designed for both AI agents and developers. It extends Postgres with fast forking, an MCP server, native BM25 and vector search, and includes a CLI for terminal access.
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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.