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123 changes: 64 additions & 59 deletions content/manuals/ai/mcp-catalog-and-toolkit/_index.md
Original file line number Diff line number Diff line change
Expand Up @@ -11,30 +11,42 @@ weight: 10
description: Learn about Docker's MCP catalog on Docker Hub
keywords: Docker, ai, mcp servers, ai agents, extension, docker desktop, llm, docker hub
grid:
- title: Get started with MCP Toolkit
description: Learn how to quickly install and use the MCP Toolkit to set up servers and clients.
icon: explore
link: /ai/mcp-catalog-and-toolkit/get-started/
- title: MCP Catalog
description: Learn about the benefits of the MCP Catalog, how you can use it, and how you can contribute
icon: hub
link: /ai/mcp-catalog-and-toolkit/catalog/
- title: MCP Toolkit
description: Learn about the MCP Toolkit to manage MCP servers and clients
icon: /icons/toolkit.svg
link: /ai/mcp-catalog-and-toolkit/toolkit/
- title: Dynamic MCP
description: Discover and add MCP servers on-demand using natural language
icon: search
link: /ai/mcp-catalog-and-toolkit/dynamic-mcp/
- title: MCP Gateway
description: Learn about the underlying technology that powers the MCP Toolkit
icon: developer_board
link: /ai/mcp-catalog-and-toolkit/mcp-gateway/
- title: Docker Hub MCP server
description: Explore about the Docker Hub server for searching images, managing repositories, and more
icon: device_hub
link: /ai/mcp-catalog-and-toolkit/hub-mcp/
- title: Get started with MCP Toolkit
description: Learn how to quickly install and use the MCP Toolkit to set up servers and clients.
icon: explore
link: /ai/mcp-catalog-and-toolkit/get-started/
- title: MCP Catalog
description: Browse Docker's curated collection of verified MCP servers
icon: hub
link: /ai/mcp-catalog-and-toolkit/catalog/
- title: MCP Toolkit
description: Learn about the MCP Toolkit to manage MCP servers and clients
icon: /icons/toolkit.svg
link: /ai/mcp-catalog-and-toolkit/toolkit/
- title: MCP Gateway
description: Learn about the underlying technology that powers the MCP Toolkit
icon: developer_board
link: /ai/mcp-catalog-and-toolkit/mcp-gateway/
- title: Governance and policy controls
description: Control which MCP servers and tools users can access
icon: security
link: /ai/mcp-catalog-and-toolkit/governance/
- title: Dynamic MCP
description: Discover and add MCP servers on-demand using natural language
icon: search
link: /ai/mcp-catalog-and-toolkit/dynamic-mcp/
- title: Docker Hub MCP server
description: Use the Docker Hub MCP server to search images and manage repositories
icon: device_hub
link: /ai/mcp-catalog-and-toolkit/hub-mcp/
- title: Security FAQs
description: Common questions about MCP security, credentials, and server verification
icon: security
link: /ai/mcp-catalog-and-toolkit/faqs/
- title: E2B sandboxes
description: Cloud sandboxes for AI agents with built-in MCP Catalog access
icon: cloud
link: /ai/mcp-catalog-and-toolkit/e2b-sandboxes/
---

{{< summary-bar feature_name="Docker MCP Catalog and Toolkit" >}}
Expand All @@ -45,47 +57,40 @@ and data sources. By connecting LLMs to local development tools, databases,
APIs, and other resources, MCP extends their capabilities beyond their base
training.

Through a client-server architecture, applications such as Claude, ChatGPT, and
[Gordon](/manuals/ai/gordon/_index.md) act as clients that send requests to MCP
servers, which then process these requests and deliver the necessary context to
AI models.

MCP servers extend the utility of AI applications, but running servers locally
also presents several operational challenges. Typically, servers must be
installed directly on your machine and configured individually for each
application. Running untrusted code locally requires careful vetting, and the
responsibility of keeping servers up-to-date and resolving environment
conflicts falls on the user.
The challenge is that running MCP servers locally creates operational friction.
Each server requires separate installation and configuration for every
application you use. You run untrusted code directly on your machine, manage
updates manually, and troubleshoot dependency conflicts yourself. Configure a
GitHub server for Claude, then configure it again for Cursor, and so on. Each
time you manage credentials, permissions, and environment setup.

## Docker MCP features

Docker provides three integrated components that address the challenges of
running local MCP servers:

MCP Catalog
: A curated collection of verified MCP servers, packaged and distributed as
container images via Docker Hub. All servers are versioned, come with full
provenance and SBOM metadata, and are continuously maintained and updated with
security patches.

MCP Toolkit
: A graphical interface in Docker Desktop for discovering, configuring, and
managing MCP servers. The Toolkit provides a unified way to search for servers,
handle authentication, and connect them to AI applications.
Docker solves these challenges by packaging MCP servers as containers and
providing tools to manage them centrally. Docker provides three integrated
components: the [MCP Catalog](/manuals/ai/mcp-catalog-and-toolkit/catalog/) for
discovering servers, the [MCP
Gateway](/manuals/ai/mcp-catalog-and-toolkit/mcp-gateway/) for running them,
and the [MCP Toolkit](/manuals/ai/mcp-catalog-and-toolkit/toolkit/) for
managing everything through Docker Desktop.

MCP Gateway
: The core open source component that powers the MCP Toolkit. The MCP Gateway
manages MCP containers provides a unified endpoint that exposes your enabled
servers to all AI applications you use.
The [MCP Catalog](/manuals/ai/mcp-catalog-and-toolkit/catalog/) is where you
find servers. Docker maintains 300+ verified servers, packaged as container
images with versioning, provenance, and security updates. Servers run isolated
in containers rather than directly on your machine. Organizations can create
[custom catalogs](/manuals/ai/mcp-catalog-and-toolkit/catalog/#custom-catalogs)
with approved servers for their teams.

This integrated approach ensures:
The [MCP Gateway](/manuals/ai/mcp-catalog-and-toolkit/mcp-gateway/) runs your
servers and routes requests from AI applications to the right server. It
handles containerized servers, remote servers, authentication, and lifecycle
management. Every AI application connects to the Gateway, which means you
configure credentials and permissions once instead of per-application.

- Simplified discovery and setup of trusted MCP servers from a curated catalog
of tools
- Centralized configuration and authentication from within Docker Desktop
- A secure, consistent execution environment by default
- Improved performance since applications can share a single server runtime,
compared to having to spin up duplicate servers for each application.
The [MCP Toolkit](/manuals/ai/mcp-catalog-and-toolkit/toolkit/) provides a
graphical interface in Docker Desktop for browsing catalogs, enabling servers,
and connecting clients. You can also use the `docker mcp` CLI to manage
everything from the terminal.

![MCP overview](./images/mcp-overview.svg)

Expand Down
211 changes: 156 additions & 55 deletions content/manuals/ai/mcp-catalog-and-toolkit/catalog.md
Original file line number Diff line number Diff line change
@@ -1,86 +1,71 @@
---
title: Docker MCP Catalog
linkTitle: MCP Catalog
linkTitle: Catalog
description: Learn about the benefits of the MCP Catalog, how you can use it, and how you can contribute
keywords: docker hub, mcp, mcp servers, ai agents, catalog, docker
weight: 20
---

{{< summary-bar feature_name="Docker MCP Catalog" >}}

The [Docker MCP Catalog](https://hub.docker.com/mcp) is a centralized, trusted
registry for discovering, sharing, and running MCP-compatible tools. Integrated
with Docker Hub, it offers verified, versioned, and curated MCP servers
packaged as Docker images. The catalog is also available in Docker Desktop.
The [Docker MCP Catalog](https://hub.docker.com/mcp) is a curated collection of
verified MCP servers, packaged as Docker images and distributed through Docker
Hub. It solves common challenges with running MCP servers locally: environment
conflicts, setup complexity, and security concerns.

The catalog solves common MCP server challenges:

- Environment conflicts. Tools often need specific runtimes that might clash
with existing setups.
- Lack of isolation. Traditional setups risk exposing the host system.
- Setup complexity. Manual installation and configuration slow adoption.
- Inconsistency across platforms. Tools might behave unpredictably on different
operating systems.

With Docker, each MCP server runs as a self-contained container. This makes it
portable, isolated, and consistent. You can launch tools instantly using the
Docker CLI or Docker Desktop, without worrying about dependencies or
compatibility.

## Key features

- Extensive collection of verified MCP servers in one place.
- Publisher verification and versioned releases.
- Pull-based distribution using Docker infrastructure.
- Tools provided by partners such as New Relic, Stripe, Grafana, and more.
The catalog serves as the source of available MCP servers. Each server runs as
an isolated container, making it portable and consistent across different
environments.

> [!NOTE]
> E2B sandboxes now include direct access to the Docker MCP Catalog, giving developers
> access to over 200 tools and services to seamlessly build and run AI agents. For
> more information, see [E2B Sandboxes](sandboxes.md).

## How it works

Each tool in the MCP Catalog is packaged as a Docker image with metadata.

- Discover tools on Docker Hub under the `mcp/` namespace.
- Connect tools to your preferred agents with simple configuration through the
[MCP Toolkit](toolkit.md).
- Pull and run tools using Docker Desktop or the CLI.
## What's in the catalog

Each catalog entry displays:
The Docker MCP Catalog includes:

- Tool description and metadata.
- Version history.
- List of tools provided by the MCP server.
- Example configuration for agent integration.
- Verified servers: All local servers are versioned with full provenance and SBOM
metadata
- Partner tools: Servers from New Relic, Stripe, Grafana, and other trusted
partners
- Docker-built servers: Locally-running servers built and digitally signed by
Docker for enhanced security
- Remote services: Cloud-hosted servers that connect to external services like
GitHub, Notion, and Linear

## Server deployment types
You can browse the catalog at [hub.docker.com/mcp](https://hub.docker.com/mcp)
or through the **Catalog** tab in Docker Desktop's MCP Toolkit.

The Docker MCP Catalog supports both local and remote server deployments, each optimized for different use cases and requirements.
### Local versus remote servers

### Local MCP servers
The catalog contains two types of servers based on where they run:

Local MCP servers are containerized applications that run directly on your machine. All local servers are built and digitally signed by Docker, providing enhanced security through verified provenance and integrity. These servers run as containers on your local environment and function without internet connectivity once downloaded. Local servers display a Docker icon {{< inline-image src="../../desktop/images/whale-x.svg" alt="docker whale icon" >}} to indicate they are built by Docker.
Local servers run as containers on your machine. They work offline once
downloaded and offer predictable performance and complete data privacy. Docker
builds and signs all local servers in the catalog.

Local servers offer predictable performance, complete data privacy, and independence from external service availability. They work well for development workflows, sensitive data processing, and scenarios requiring offline functionality.
Remote servers run on the provider's infrastructure and connect to external
services. Many remote servers use OAuth authentication, which the MCP Toolkit
handles automatically through your browser.

### Remote MCP servers
## Using servers from the catalog

Remote MCP servers are hosted services that run on the provider's
infrastructure and connect to external services like GitHub, Notion, and
Linear. Many remote servers use OAuth authentication. When a remote server
requires OAuth, the MCP Toolkit handles authentication automatically - you
authorize access through your browser, and the Toolkit manages credentials
securely. You don't need to manually create API tokens or configure
authentication.
To start using MCP servers from the catalog:

Remote servers display a cloud icon in the catalog. For setup instructions, see
[MCP Toolkit](toolkit.md#oauth-authentication).
1. Browse servers in the [MCP Catalog](https://hub.docker.com/mcp) or in Docker
Desktop
2. Enable servers through the MCP Toolkit
3. Configure any required authentication (OAuth is handled automatically)
4. Connect your AI applications to use the servers

## Use an MCP server from the catalog
For detailed step-by-step instructions, see:

To use an MCP server from the catalog, see [MCP Toolkit](toolkit.md).
- [Get started with MCP Toolkit](/manuals/ai/mcp-catalog-and-toolkit/get-started/) -
Quick start guide
- [MCP Toolkit](/manuals/ai/mcp-catalog-and-toolkit/toolkit/) - Detailed usage
instructions

## Contribute an MCP server to the catalog

Expand All @@ -95,3 +80,119 @@ within 24 hours on:
- The [Docker MCP Catalog](https://hub.docker.com/mcp).
- The [Docker Hub](https://hub.docker.com/u/mcp) `mcp` namespace (for MCP
servers built by Docker).

## Custom catalogs

Custom catalogs let you curate focused collections of recommended servers. You
can package custom server implementations alongside public servers, distribute
curated lists to your team, and define what agents can discover when using
Dynamic MCP.

Common use cases:

- Curate a subset of servers from the Docker MCP Catalog that your organization
approves
- Include community registry servers that aren't in the Docker catalog
- Add your organization's private MCP servers
- Control which versions of servers your team uses

### Custom catalogs with Dynamic MCP

Custom catalogs work particularly well with
[Dynamic MCP](/manuals/ai/mcp-catalog-and-toolkit/dynamic-mcp/), where agents
discover and add MCP servers on-demand during conversations. When you specify a
custom catalog with the gateway, the `mcp-find` tool searches only within your
curated catalog. If your catalog contains 20 servers instead of 300+, agents
work within that focused set and can dynamically add servers as needed without
manual configuration each time.

This gives agents the autonomy to discover and use tools while keeping their
options within boundaries your team defines.

### Create and curate a catalog

The most practical way to create a custom catalog is to fork the Docker catalog
and then curate which servers to keep:

```console
$ docker mcp catalog fork docker-mcp my-catalog
```

This creates a copy of the Docker catalog with all available servers. Export it
to a file where you can edit which servers to include:

```console
$ docker mcp catalog export my-catalog ./my-catalog.yaml
```

Edit `my-catalog.yaml` to remove servers you don't want, keeping only the ones
your team needs. Each server is listed in the `registry` section. Import the
edited catalog back:

```console
$ docker mcp catalog import ./my-catalog.yaml
```

View your curated catalog:

```console
$ docker mcp catalog show my-catalog
```

#### Alternative: Build incrementally

You can also build a catalog from scratch. Start with an empty catalog or a
template:

```console
$ docker mcp catalog create my-catalog
```

Or create a starter template with example servers:

```console
$ docker mcp catalog bootstrap ./starter-catalog.yaml
```

Add servers from other catalog files:

```console
$ docker mcp catalog add my-catalog notion ./other-catalog.yaml
```

### Use a custom catalog

Use your custom catalog when running the MCP gateway. For static server
configuration, specify which servers to enable:

```console
$ docker mcp gateway run --catalog my-catalog.yaml --servers notion,brave
```

For Dynamic MCP, where agents discover and add servers during conversations,
specify just the catalog:

```console
$ docker mcp gateway run --catalog my-catalog.yaml
```

Agents can then use `mcp-find` to search for servers within your catalog and
`mcp-add` to enable them dynamically.

The `--catalog` flag points to a catalog file in `~/.docker/mcp/catalogs/`.

### Share your catalog

Share your catalog with your team by distributing the YAML file or hosting it
at a URL:

```console
$ docker mcp catalog export my-catalog ./team-catalog.yaml
```

Team members can import it:

```console
$ docker mcp catalog import ./team-catalog.yaml
$ docker mcp catalog import https://example.com/team-catalog.yaml
```
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