What is the key difference between Dockhold and Image Processing?

Dockhold belongs to the Version Control category with cloud HTTP/SSE execution, while Image Processing belongs to the Version Control category with cloud HTTP/SSE execution.

How do I install Dockhold or Image Processing in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Dockhold and Image Processing free or paid?

Dockhold operates under a Free / Open Source model (No auth required). Image Processing operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Dockhold lists 0 tools with 0 views and 0 GitHub stars. Image Processing lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Dockhold and Image Processing together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

How do I install Dockhold or Image Processing in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Dockhold and Image Processing free to use, or do they require API keys?

Dockhold is listed under a Free / Open Source model with No auth required . Image Processing operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Dockhold and Image Processing at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both dockhold and image-processing as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Dockhold has a Quality Score of 42 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Image Processing holds a Quality Score of 42 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Dockhold vs Image Processing

In-depth architectural comparison of the Dockhold and Image Processing MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Dockhold

Version Control · Remote HTTP/SSE

Quality: 42/100 (Fair) | Auth: No auth required

Image Processing

Version Control · Remote HTTP/SSE

Quality: 42/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Dockhold if you need specialized Version Control tools running via a hosted cloud SSE transport. Choose Image Processing if your workspace requires Version Control integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Dockhold when:

You need dedicated capabilities in the Version Control domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Dockhold Details

Choose Image Processing when:

You need dedicated capabilities in the Version Control domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Image Processing Details

Feature & Specification Comparison

Specification	D Dockhold Version Control	I Image Processing Version Control
Summary	Deploy a GitHub repo to a live HTTPS URL from your AI tool; read logs, set variables, resize apps.	Image processing for AI agents. Resize, convert, compress, and pipeline images.
Category & Scope	Version Control	Version Control
Quality signal

Tools & Capabilities Breakdown

Dockhold Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Image Processing Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Dockhold Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "dockhold": {
      "url": "https://dockhold.eu"
    }
  }
}

Image Processing Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "image-processing": {
      "url": "https://gitlab.com/pictomancer.ai/pig-gateway"
    }
  }
}

Frequently Asked Questions

Dockhold is categorized under Version Control and uses a remote streaming HTTP/SSE transport. In contrast, Image Processing belongs to Version Control using remote streaming HTTP/SSE transport. Select Dockhold when you need capabilities focused on version control and Image Processing when you require tools for version control.

More alternatives to Dockhold More alternatives to Image Processing Version Control category hub

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