AI Cost Analyzer vs Labby

In-depth architectural comparison of the AI Cost Analyzer 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.

Which MCP Server Should You Choose?

A

Choose AI Cost Analyzer 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 AI Cost Analyzer 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	A AI Cost Analyzer Cloud Platforms	Labby Cloud Platforms
Summary	Analyze LLM API costs: token waste detection, caching savings estimates, model comparison	Local-first MCP gateway and homelab control plane with CLI, HTTP API, and web UI.
Category & Scope	Cloud Platforms	Cloud Platforms
Quality signal

Tools & Capabilities Breakdown

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).

{
  "mcpServers": {
    "ai-cost-analyzer": {
      "url": "https://aivp-mcp.vercel.app"
    }
  }
}

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

Related MCP Server Comparisons