Docker expands AI capabilities with MCP Catalog and Toolkit

New catalog and toolkit launch in partnership with industry leaders, extending Docker’s simplicity and security to the Model Context Protocol (MCP) ecosystem.

Docker has announced a major expansion of its Artificial Intelligence (AI) initiative with the launch of the Docker MCP Catalog and Docker MCP Toolkit. These new offerings, centered around the emerging MCP, aim to introduce Docker's Developer Experience (DevEx) to the AI ecosystem.

The Docker MCP Catalog, integrated into Docker Hub, provides developers a centralized platform to discover verified and curated MCP tools. The Docker MCP Toolkit allows developers to run, authenticate, and manage MCP tools efficiently. This initiative also includes enterprise-ready tooling to help developers integrate AI into their workflows.

“Building functional AI applications shouldn’t feel radically different from building any other app,” said Docker President and COO Mark Cavage. “Developers want to integrate AI into their existing workflows – build locally, test, and ship to production with confidence.”

Docker is collaborating with companies in cloud, developer tooling, and AI, such as Elastic, Heroku at Salesforce, New Relic, and Stripe, to create a developer-centric ecosystem for MCP tools. Developers can access over 100 MCP servers directly from the Docker Desktop extension, which will also host these servers on Docker Hub.

“Docker’s new MCP Catalog is a meaningful step forward in secure software delivery,” said Paul Nashawaty, Practice Lead and Principal Analyst at theCUBE Research. Docker aims to provide the security, consistency, and scalability needed for enterprises utilizing AI-powered tools, with growing demand for supply chain security expected to reach 70 percent adoption by 2026.

The Docker MCP Catalog benefits from the scale and reliability of Docker Hub, which hosts over 14 million images and serves millions of developers. Future enhancements will enable teams to publish and manage their own MCP servers with enterprise controls.

This announcement is part of Docker’s ongoing AI strategy, including the beta launch of Docker AI Agent, a context-aware assistant, and Docker Model Runner, enabling straightforward local running of AI models. The MCP Catalog aims to simplify the discovery of and trust in MCP tools.

Industry leaders are expressing support for the initiative. For instance, Nate Sesti, CTO of continue.dev, noted that the MCP Catalog enhances server management, allowing developers to focus on building assistant tools. Elastic's Shay Banon highlighted the opportunities presented by integrating Elasticsearch into AI frameworks via Docker's offerings.

Docker's MCP Toolkit allows developers to integrate services seamlessly into their workflows. As Docker collaborates with companies like Neo4j and Heroku, the MCP Catalog is positioned to facilitate secure and efficient AI application development.