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hub: update catalogs #22951

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hub: update catalogs
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76 changes: 35 additions & 41 deletions content/manuals/docker-hub/image-library/catalogs.md
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---
description: Explore specialized Docker Hub collections like the Generative AI catalog.
description: Explore specialized Docker Hub collections like the generative AI catalogs.
keywords: Docker Hub, Hub, catalog
title: Docker Hub catalogs
linkTitle: Catalogs
Expand All @@ -19,48 +19,42 @@
- Accelerate development: Quickly integrate advanced capabilities into your
applications without the hassle of extensive research or setup.

The generative AI catalog is the first catalog in Docker Hub, offering
specialized content for AI development.
The following sections provide an overview of the key catalogs available in Docker Hub.

## Generative AI catalog
## MCP Catalog

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[vale] reported by reviewdog 🐶
[Docker.HeadingSentenceCase] Use sentence case for headings: 'MCP Catalog'.

Raw Output:
{"message": "[Docker.HeadingSentenceCase] Use sentence case for headings: 'MCP Catalog'.", "location": {"path": "content/manuals/docker-hub/image-library/catalogs.md", "range": {"start": {"line": 24, "column": 4}}}, "severity": "WARNING"}

The [generative AI catalog](https://hub.docker.com/catalogs/gen-ai) makes it
easy to explore and add AI capabilities to your applications. With trusted,
ready-to-use content and comprehensive documentation, you can skip the hassle of
sorting through countless tools and configurations. Instead, focus your time and
energy on creating innovative AI-powered applications.
The [MCP Catalog](https://hub.docker.com/mcp/) is a centralized, trusted
registry for discovering, sharing, and running Model Context Protocol
(MCP)-compatible tools. Seamlessly integrated into Docker Hub, the catalog
includes:

The generative AI catalog provides a wide range of trusted content, organized
into key areas to support diverse AI development needs:
- Over 100 verified MCP servers packaged as Docker images
- Tools from partners such as New Relic, Stripe, and Grafana
- Versioned releases with publisher verification
- Simplified pull-and-run support through Docker Desktop and Docker CLI

- Demos: Ready-to-deploy examples showcasing generative AI capabilities. These
demos provide a hands-on way to explore AI tools and frameworks, making it
easier to understand how they can be integrated into real-world applications.
- Model Context Protocol (MCP) servers: MCP servers provide reusable toolsets
that can be used across clients, like Claude Desktop.
- Models: Pre-trained AI models for tasks like text generation,
Natural Language Processing (NLP), and conversational AI. These models
provide a foundation for
AI applications without requiring developers to train models from scratch.
- Applications and end-to-end platforms: Comprehensive platforms and tools that
simplify AI application development, including low-code solutions and
frameworks for building multi-agent and Retrieval-Augmented Generation (RAG)
applications.
- Model deployment and serving: Tools and frameworks that enable developers to
efficiently deploy and serve AI models in production environments. These
resources include pre-configured stacks for GPUs and other specialized
hardware, ensuring performance at scale.
- Orchestration: Solutions for managing complex AI workflows, such as workflow
engines, Large Language Model (LLM) application frameworks, and lifecycle management
tools, to help streamline development and operations.
- Machine learning frameworks: Popular frameworks like TensorFlow and PyTorch
that provide the building blocks for creating, training, and fine-tuning
machine learning models.
- Databases: Databases optimized for AI workloads, including vector databases
for similarity search, time-series databases for analytics, and NoSQL
solutions for handling unstructured data.
Each server runs in an isolated container to ensure consistent behavior and
minimize configuration headaches. For developers working with Claude Desktop or
other MCP clients, the catalog provides an easy way to extend functionality with
drop-in tools.

> [!NOTE]
>
> For publishers, [contact us](https://www.docker.com/partners/programs/) to
> join the generative AI catalog.
To learn more about MCP servers, see [MCP Catalog and Toolkit](../../ai/mcp-catalog-and-toolkit/_index.md).

## AI Models Catalog

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[vale] reported by reviewdog 🐶
[Docker.HeadingSentenceCase] Use sentence case for headings: 'AI Models Catalog'.

Raw Output:
{"message": "[Docker.HeadingSentenceCase] Use sentence case for headings: 'AI Models Catalog'.", "location": {"path": "content/manuals/docker-hub/image-library/catalogs.md", "range": {"start": {"line": 43, "column": 4}}}, "severity": "WARNING"}

The [AI Models Catalog](https://hub.docker.com/catalogs/models/) provides
curated, trusted models that work with [Docker Model
Runner](../../ai/model-runner/_index.md). This catalog is designed to make AI
development more accessible by offering pre-packaged, ready-to-use models that
you can pull, run, and interact with using familiar Docker tools.

With the AI Models Catalog and Docker Model Runner, you can:

- Pull and serve models from Docker Hub or any OCI-compliant registry
- Interact with models via OpenAI-compatible APIs
- Run and test models locally using Docker Desktop or CLI
- Package and publish models using the `docker model` CLI

Whether you're building generative AI applications, integrating LLMs into your
workflows, or experimenting with machine learning tools, the AI Models Catalog
simplifies the model management experience.