scout: remove artifactory integration (#22939)

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## Description

Removed docs about antifactory integration for Scout.
Still mentioned in the release notes.

## Related issues or tickets

ENGDOCS-2785

## Reviews

<!-- Notes for reviewers here -->
<!-- List applicable reviews (optionally @tag reviewers) -->

- [ ] Technical review
- [ ] Editorial review

---------

Signed-off-by: Craig <[email protected]>

Author: craig-osterhout

content/manuals/ai/mcp-catalog-and-toolkit/catalog.md

@@ -4,12 +4,12 @@ description: Learn about the benefits of the MCP Catalog, how you can use it, an
 keywords: docker hub, mcp, mcp servers, ai agents, calatog, docker
 ---
 
-The [Docker MCP Catalog](https://hub.docker.com/catalogs/mcp) is a centralized, trusted registry for discovering, sharing, and running MCP-compatible tools. Seamlessly integrated into 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://mcp.docker.com) is a centralized, trusted registry for discovering, sharing, and running MCP-compatible tools. Seamlessly integrated into Docker Hub, it offers verified, versioned, and curated MCP servers packaged as Docker images. The catalog is also available in Docker Desktop.
 
 The catalog solves common MCP server challenges:
 
 - Environment conflicts: Tools often need specific runtimes that may clash with existing setups.
-- Lack of isolation: Traditional setups risk exposing the host system.
+- Lack of isolation: Traditional setups risk exposing the host system.(it)
 - Setup complexity: Manual installation and configuration result in slow adoption.
 - Inconsistency across platforms: Tools may behave unpredictably on different OSes.
 
@@ -50,5 +50,5 @@ follow the [contributing guidelines](https://github.com/docker/mcp-registry/blob
 When your pull request is reviewed and approved, your MCP server is available in 24 hours on:
 
 - Docker Desktop's [MCP Toolkit feature](toolkit.md)
-- 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)
+- The [Docker MCP catalog](https://mcp.docker.com)
+- The [Docker Hub](https://mcp.docker.com) `mcp` namespace (for MCP servers built by Docker)

content/manuals/scout/explore/dashboard.md

@@ -11,10 +11,10 @@ aliases:
 
 The [Docker Scout Dashboard](https://scout.docker.com/) helps you share the
 analysis of images in an organization with your team. Developers can now see an
-overview of their security status across all their images from both Docker Hub
-and Artifactory, and get remediation advice at their fingertips. It helps team
-members in roles such as security, compliance, and operations to know what
-vulnerabilities and issues they need to focus on.
+overview of their security status across all their images from Docker Hub, and
+get remediation advice at their fingertips. It helps team members in roles such
+as security, compliance, and operations to know what vulnerabilities and issues
+they need to focus on.
 
 ## Overview
 

content/manuals/scout/images/release-notes/artifactory-agent.gif

@@ -25,7 +25,6 @@ aren't hosted on Docker Hub.
 
 The following container registry integrations are available:
 
-- [Artifactory](./registry/artifactory.md)
 - [Amazon Elastic Container Registry](./registry/ecr.md)
 - [Azure Container Registry](./registry/acr.md)
 

content/manuals/scout/integrations/_index.md

@@ -297,12 +297,9 @@ documentation](../integrations/environment/sysdig.md).
 The new JFrog Artifactory integration enables automatic image analysis on
 Artifactory registries.
 
-![Animation of how to integrate Artifactory](../images/release-notes/artifactory-agent.gif)
-
 The integration involves deploying a Docker Scout Artifactory agent that polls
 for new images, performs analysis, and uploads results to Docker Scout, all
-while preserving the integrity of image data. Learn more in the [Artifactory
-integration documentation](../integrations/registry/artifactory.md)
+while preserving the integrity of image data.
 
 #### Known limitations