router-mcp

> MCP server for managing Robot Resources Router — stats, config, and model comparison.

Human Resources, but for your AI agents.

Robot Resources cuts your LLM API costs by 60-90%. It runs a local proxy that classifies each prompt by task type (coding, reasoning, analysis, simple Q&A, creative, general) and routes it to the cheapest model that can handle it — across 14 models from OpenAI, Anthropic, and Google.

Your API keys never leave your machine. Free, unlimited, no tiers.

npx robot-resources

One command sets up the Router proxy, configures your agents, and gets you saving immediately.

Learn more at robotresources.ai

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This package gives AI agents management tools for the Router proxy via the Model Context Protocol. Use it to check cost savings, compare models, and adjust routing config — all from within Claude Desktop, Claude Code, or any MCP-compatible agent.

npx @robot-resources/router-mcp

Requires the Router proxy running at localhost:3838 (default). Override with ROUTER_URL env var.

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "router": {
      "command": "npx",
      "args": ["-y", "@robot-resources/router-mcp"]
    }
  }
}

Add to your .mcp.json:

{
  "mcpServers": {
    "router": {
      "command": "npx",
      "args": ["-y", "@robot-resources/router-mcp"]
    }
  }
}

If the proxy runs on a non-default port:

{
  "mcpServers": {
    "router": {
      "command": "npx",
      "args": ["-y", "@robot-resources/router-mcp"],
      "env": {
        "ROUTER_URL": "http://localhost:4000"
      }
    }
  }
}

Cost savings statistics for the Router proxy.

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