What is the key difference between Jungle Cleaner and Labby?

Jungle Cleaner belongs to the Cloud Platforms category with cloud HTTP/SSE execution, while Labby belongs to the Cloud Platforms category with local stdio execution.

How do I install Jungle Cleaner or Labby 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 Jungle Cleaner and Labby free or paid?

Jungle Cleaner operates under a Free / Open Source model (No auth required). Labby operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Jungle Cleaner lists 0 tools with 1 views and 0 GitHub stars. Labby lists 0 tools with 0 views and 5 GitHub stars.

Can I use both Jungle Cleaner and Labby 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 Jungle Cleaner or Labby 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 Jungle Cleaner and Labby free to use, or do they require API keys?

Jungle Cleaner is listed under a Free / Open Source model with No auth required . Labby 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 Jungle Cleaner and Labby at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both jungle-cleaner and labby-2 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, Jungle Cleaner has a Quality Score of 41 /100 ( Fair ) with 1 views, 0 installs, and 0 GitHub stars. Labby holds a Quality Score of 41 /100 ( Fair ) with 0 views, 0 installs, and 5 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Jungle Cleaner vs Labby

In-depth architectural comparison of the Jungle Cleaner and Labby 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

Jungle Cleaner

Cloud Platforms · Remote HTTP/SSE

Quality: 41/100 (Fair) | Auth: No auth required

Labby

Cloud Platforms · Local stdio

Quality: 41/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Jungle Cleaner if you need specialized Cloud Platforms tools running via a hosted cloud SSE transport. Choose Labby if your workspace requires Cloud Platforms integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Jungle Cleaner when:

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

Explore Jungle Cleaner Details

Choose Labby when:

You need dedicated capabilities in the Cloud Platforms domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Labby Details

Feature & Specification Comparison

Specification	J Jungle Cleaner Cloud Platforms	Labby Cloud Platforms
Summary	Lowers your AWS bill by helping you clean up and optimize your setup	Rust MCP gateway with Code Mode, authentication, setup, logs, CLI, HTTP API, and operator web UI.
Category & Scope	Cloud Platforms	Cloud Platforms
Quality signal

Tools & Capabilities Breakdown

Jungle Cleaner Tools (0)

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

Labby 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).

Jungle Cleaner Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "jungle-cleaner": {
      "url": "https://junglecleaner.com"
    }
  }
}

Labby Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "labby-2": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem"
      ]
    }
  }
}

Frequently Asked Questions

Jungle Cleaner is categorized under Cloud Platforms and uses a remote streaming HTTP/SSE transport. In contrast, Labby belongs to Cloud Platforms using local stdio subprocess. Select Jungle Cleaner when you need capabilities focused on cloud platforms and Labby when you require tools for cloud platforms.

More alternatives to Jungle Cleaner More alternatives to Labby Cloud Platforms category hub