Docker Extends AI Momentum with MCP Tools Built for Developers

Docker Extends AI Momentum with MCP Tools Built for Developers

Docker launches MCP Catalog and Toolkit to simplify AI agent development, with support from 10+ industry leaders and more joining the growing ecosystem....

Dnotitia Unveils the World’s First MCP-based RAGOps SaaS Platform, ‘Seahorse Cloud’ - Journal of Cyber Policy

Dnotitia unveils the world’s first MCP-based RAGOps SaaS Platform, ‘Seahorse Cloud’ SEOUL, SOUTH KOREA, April 23, 2025 /EINPresswire.com/ — Dnotitia Inc. (Dnotitia), a company pioneering long-term memory AI and semiconductor-integrated solutions, has officially launched the closed beta of Seahorse Cloud, the world’s first SaaS platform to integrate Retrieval-Augmented Generation Operations (RAGOps) with the Model Context Protocol (MCP). Designed…

With Docker MCP Catalog, the platform launches a service to exchange AI resources: easy download of servers and clients including authentication.

Docker Model Runner Aims to Make it Easier to Run LLM Models Locally

Currently in preview with Docker Desktop 4.40 for macOS on Apple Silicon, Docker Model Runner allows developers to run models locally and iterate on application code using the local models- without di

Docker Unveils MCP Catalog and Toolkit

Title: The Emergence of the Model Context Protocol (MCP) in AI Agent Development Introduction In recent years, artificial intelligence (AI) has rapidly evolved from theoretical concepts to practical applications. AI agents, capable of generating text and performing real-world tasks, are becoming increasingly common. A critical development in this field is the Model Context Protocol (MCP), […]

Introducing MCP Catalog and Toolkit

AI agents are moving fast—from labs to real-world apps. And as they go from generating text to taking real action, the Model Context Protocol (MCP) has emerged as the de facto standard for connecting agents to tools. MCP is exciting. It’s simple, modular, and built on web-native principles. We believe it has the potential to do for agentic AI interaction what containers did for app deployment – standardize and simplify a complex, fragmented land…