Tag: MCP

OpenAI has added plugin support to its Codex coding assistant, a move aimed at narrowing the functional gap with rival AI coding tools from Anthropic and Google. The new plugins are packaged bundles that may contain skills, app integrations, and Model Context Protocol (MCP) servers, letting users configure Codex for specific tasks with a single click. While power users could already achieve similar results through custom instructions and MCP servers, the plugin library—featuring integrations such as GitHub, Gmail, Box, Cloudflare, and Vercel—offers a more streamlined, searchable experience. Leggi di più

New Relic announced a no-code AI agent platform designed for data observability, allowing enterprises to deploy and manage pre-built agents that monitor systems for bugs and issues. The platform supports the Model Context Protocol (MCP) and integrates with existing New Relic tools, focusing on outcomes specific to observability. The company also introduced new OpenTelemetry capabilities for its application performance monitoring agents, enabling unified management of OTel data streams. Industry peers such as Salesforce and OpenAI have launched similar agent platforms, and Gartner has labeled these tools as essential infrastructure for enterprise AI adoption. Leggi di più

Anthropic has added a new extension to its Claude chatbot that lets users interact with popular productivity apps—such as Slack, Canva, Asana, and Figma—directly inside the chat interface. Powered by the open‑source Model Context Protocol (MCP), the integration moves beyond simple text replies, offering visual, interactive experiences that let users draft messages, build presentations, and manage projects without leaving the AI conversation. The move signals a shift toward AI platforms functioning more like operating systems, and the MCP framework is being positioned for broader adoption across other AI products. Leggi di più

Google Cloud has launched managed Model Context Protocol (MCP) servers that let AI agents directly access Google services such as Maps, BigQuery, Compute Engine and Kubernetes Engine. The servers, offered in public preview at no extra cost to existing enterprise customers, simplify connector setup by allowing developers to paste a URL and instantly grant agents tool access. Built with Google Cloud IAM, Model Armor and audit logging, the offering adds security and governance controls. Google plans to expand MCP support to additional storage, database, monitoring and security services in the coming months, positioning the platform as a broader enterprise solution for AI‑driven workflows. Leggi di più

Leading artificial‑intelligence firms including Anthropic, OpenAI, Google, Microsoft, and Block are co‑operating around the Model Context Protocol (MCP), a framework that lets AI agents access external tools and data in a uniform way. Anthropic has donated MCP to the Linux Foundation, positioning it as an open‑source standard overseen by a neutral body. The collaboration aims to simplify integration, improve agent performance, and address security concerns, while laying groundwork for a marketplace of AI‑compatible services. Leggi di più

Major AI players including Anthropic, OpenAI and Block have joined forces with the Linux Foundation to launch the Agentic AI Foundation (AAIF). The new nonprofit aims to establish common standards for AI agents, centering on the Model Context Protocol (MCP) – dubbed a “USB‑C port for AI.” By creating a shared framework, the coalition hopes to simplify integration of AI models with data sources, accelerate interoperability, and spur broader adoption of agentic AI across products and services. Leggi di più

The Linux Foundation has created the Agentic AI Foundation (AAIF), a neutral hub for open‑source AI‑agent projects. Anthropic, Block and OpenAI are anchoring the effort with donations of key technologies: Anthropic’s Model Context Protocol (MCP), Block’s Goose agent framework, and OpenAI’s AGENTS.md instruction file. The group aims to prevent a fragmented landscape of proprietary AI agents by fostering interoperability, shared safety patterns, and industry‑wide standards. Major members such as AWS, Bloomberg, Cloudflare and Google have joined, signaling broad support for an open, mix‑and‑match approach to AI‑agent development. Leggi di più

Amazon Web Services has launched Quick Suite, a comprehensive platform that lets businesses build and use AI agents to access data, automate tasks, and generate insights across internal repositories and third‑party applications. The service connects to internal wikis, AWS services like S3 and Redshift, and more than 1,000 external apps via the MCP standard. Initially available in four AWS regions, Quick Suite includes built‑in connectors for popular data platforms, custom integration options, and a suite of tools for visual analytics, research, workflow automation, and complex multi‑system processes. Leggi di più