InfoQ Homepage Model Context Protocol (MCP) Content on InfoQ
-
QCon London 2026: Morgan Stanley Rethinks Its API Program for the MCP Era
Morgan Stanley engineers Jim Gough and Andreea Niculcea showed how they're retooling the bank's API program for AI agents using MCP and FINOS CALM. Live demos covered compliance guardrails, deployment gates, and zero-downtime rollouts across 100+ APIs. First API deployment shrank from two years to two weeks. They also demoed Google's A2A protocol running alongside MCP.
-
Microsoft Launches MCP C# SDK v1.0, Bringing Full Support for Latest Protocol Specification
Microsoft has released version 1.0 of the official MCP C# SDK, bringing full support for the 2025-11-25 MCP Specification. The release introduces enhanced authorization flows, icon support for tools and resources, incremental scope consent, URL mode elicitation, tool calling in sampling, and improved handling of long-running HTTP requests.
-
OpenAI Publishes Codex App Server Architecture for Unifying AI Agent Surfaces
OpenAI has recently published a detailed architecture description of the Codex App Server, a bidirectional protocol that decouples the Codex coding agent's core logic from its various client surfaces. The App Server now powers every Codex experience, including the CLI, the VS Code extension, and the web app, through a single, stable API.
-
Agoda’s API Agent Converts Any API to MCP with Zero Code and Deployments
Agoda engineers developed API Agent, enabling a single MCP server to access any internal REST or GraphQL API with zero code and zero deployments. The system reduces overhead from multiple APIs, supports AI-assisted queries, and uses in-memory SQL post-processing for safe, scalable data handling across internal services.
-
Xcode 26.3 Brings Integrated Agentic Coding for Anthropic Claude Agent and OpenAI Codex
The latest release of Xcode, Xcode 26.3, extends support for coding agents, such as Anthropic's Claude Agent and OpenAI's Codex, helping developers tackle complex tasks and improve their productivity.
-
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!
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.