What is the key difference between Labby and Predictalot?

Labby belongs to the Cloud Platforms category with local stdio execution, while Predictalot belongs to the Cloud Platforms category with local stdio execution.

How do I install Labby or Predictalot 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 Labby and Predictalot free or paid?

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

Which MCP server has more tools and community activity?

Labby lists 0 tools with 0 views and 5 GitHub stars. Predictalot lists 0 tools with 0 views and 2 GitHub stars.

Can I use both Labby and Predictalot 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.

Side-by-Side Model Context Protocol Comparison

Labby vs Predictalot

In-depth architectural comparison of the Labby and Predictalot 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

Labby

Cloud Platforms · Local stdio

Quality: 43/100 (Fair) | Auth: No auth required

Predictalot

Cloud Platforms · Local stdio

Quality: 31/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose Labby if you need specialized Cloud Platforms tools running via a local process. Choose Predictalot 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 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

Choose Predictalot 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 Predictalot Details

Feature & Specification Comparison

Specification	Labby Cloud Platforms	Predictalot Cloud Platforms
Summary	Local-first MCP gateway and homelab control plane with CLI, HTTP API, and web UI.	Self-hosted MCP server for time-series forecasting and tabular ML via foundation models.
Category & Scope	Cloud Platforms	Cloud Platforms
Quality signal

Tools & Capabilities Breakdown

Labby Tools (0)

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

Predictalot 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).

Labby Configuration

mcpServers (Claude Desktop / Cursor)

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

Predictalot Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "predictalot": {
      "command": "npx",
      "args": [
        "-y",
        "predictalot"
      ]
    }
  }
}

Frequently Asked Questions

Labby is categorized under Cloud Platforms and uses a local stdio subprocess. In contrast, Predictalot belongs to Cloud Platforms using local stdio subprocess. Select Labby when you need capabilities focused on cloud platforms and Predictalot when you require tools for cloud platforms.

More alternatives to Labby More alternatives to Predictalot Cloud Platforms category hub