MCP MeasureMCP Measure

index observed

ai-model-router

Cloudflare Workers MCP server: ai-model-router

Should I use this

Quality & Safety

B
Description quality
93%
Schema completeness
59%
Naming quality
87%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~269Tokens (tool definitions)
~725 BTypical response size
Minimal attention impact (0.21% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "ai-model-router": {
      "url": "https://api.lazy-mac.com/ai-model-router/mcp"
    }
  }
}

Remote endpoints

https://api.lazy-mac.com/ai-model-router/mcpstreamable-http

What it can do

Tool inventory

Tools (3)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢route_model(prompt, task_type, max_cost_usd, prefer_provider, prefer_tier, ...)

Select the optimal AI model (GPT-4, Claude, Gemini) for a task based on type, cost, and provider preferences.

Input Schema

{
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string",
      "description": "Task description for auto-classification"
    },
    "task_type": {
      "type": "string",
      "enum": [
        "code",
        "analysis",
        "creative",
        "summarize",
        "classify",
        "reason",
        "vision",
        "chat",
        "general"
      ]
    },
    "max_cost_usd": {
      "type": "number",
      "description": "Max budget in USD per call"
    },
    "prefer_provider": {
      "type": "string",
      "enum": [
        "openai",
        "anthropic",
        "google"
      ]
    },
    "prefer_tier": {
      "type": "string",
      "enum": [
        "economy",
        "standard",
        "premium"
      ]
    },
    "input_tokens": {
      "type": "integer"
    },
    "output_tokens": {
      "type": "integer"
    }
  }
}
⚪compare_models(prompt, task_type, input_tokens, output_tokens)

Compare cost and task fit across all supported AI models for a given prompt or token count.

Input Schema

{
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string"
    },
    "task_type": {
      "type": "string"
    },
    "input_tokens": {
      "type": "integer"
    },
    "output_tokens": {
      "type": "integer"
    }
  }
}
🟢list_models

List all supported AI models with pricing and capabilities.

Input Schema

{
  "type": "object",
  "properties": {}
}

Community

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Evidence

Recent observations

verifiedversion not recorded3 tools
verifiedversion not recorded3 tools
verifiedversion not recorded3 tools