News from the AI & ML world
DeeperML
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Docker, Inc. has embraced the Model Context Protocol (MCP) to simplify the integration of AI agents into container applications. The company has introduced both an MCP Catalog and an MCP Toolkit, aiming to provide developers with tools to effectively manage and utilize MCP-based AI agents. This move is intended to allow developers to leverage existing tools and workflows when incorporating artificial intelligence capabilities into their applications, making the process more streamlined and efficient.
Docker's MCP Catalog, integrated into Docker Hub, offers a centralized location for developers to discover, run, and manage MCP servers from various providers. It currently features over 100 MCP servers from providers such as Grafana Labs, Kong, Inc., Neo4j, Pulumi, Heroku, and Elastic Search, accessible directly within Docker Desktop. Future updates to Docker Desktop will include features that enable application development teams to publish and manage their own MCP servers, with controls such as registry access management (RAM) and image access management (IAM), as well as secure secret storage.
Nikhil Kaul, vice president of product marketing for Docker, Inc., emphasized the company's commitment to empowering application developers to build the next generation of AI applications without disrupting their existing tooling. The goal is to make it easier for developers to experiment and integrate AI capabilities into their workflows. Docker's earlier initiatives, such as the Docker Model Runner extension for running large language models (LLMs) locally, demonstrate a consistent approach to simplifying AI integration for developers.
ImgSrc: cloudnativenow.
References :
Docker's MCP Catalog, integrated into Docker Hub, offers a centralized location for developers to discover, run, and manage MCP servers from various providers. It currently features over 100 MCP servers from providers such as Grafana Labs, Kong, Inc., Neo4j, Pulumi, Heroku, and Elastic Search, accessible directly within Docker Desktop. Future updates to Docker Desktop will include features that enable application development teams to publish and manage their own MCP servers, with controls such as registry access management (RAM) and image access management (IAM), as well as secure secret storage.
Nikhil Kaul, vice president of product marketing for Docker, Inc., emphasized the company's commitment to empowering application developers to build the next generation of AI applications without disrupting their existing tooling. The goal is to make it easier for developers to experiment and integrate AI capabilities into their workflows. Docker's earlier initiatives, such as the Docker Model Runner extension for running large language models (LLMs) locally, demonstrate a consistent approach to simplifying AI integration for developers.
ImgSrc: cloudnativenow.
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References :
- cloudnativenow.com: Docker, Inc. Embraces MCP to Make AI Agent Integration Simpler
- DEVCLASS: Docker introduces MCP Catalog and Toolkit as vendors scramble to support the protocol despite security concerns
- N?s Blog: MCP Getting Started: Model Context Protocol on Windows
- AI Rabbit Blog: Airabbit discusses how to run Model Context Protocol (MCP) servers securely and easily with Docker, enhancing security and observability.