Robot Resources Router
OfficialProvides tools to manage and monitor prompt routing to Google models through the Robot Resources Router, enabling cost tracking, model capability comparison, and configuration of routing logic.
Provides tools to manage and monitor prompt routing to OpenAI models through the Robot Resources Router, enabling cost tracking, model capability comparison, and configuration of routing logic.
@robot-resources/router-mcp
⚠️ DEPRECATED — npm package no longer published. The Router MCP server has been replaced by the in-process Router plugin shipped with
@robot-resources/router. A standalone Router MCP for non-OpenClaw agents is on the roadmap. For Router today, use the OpenClaw plugin (npx robot-resources), the JS library, the Python SDK (pip install robot-resources), or the HTTP API athttps://api.robotresources.ai/v1/route. See robotresources.ai/docs.
MCP server for managing Robot Resources Router — stats, config, and model comparison.
What is Robot Resources?
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.
Install the full suite
npx robot-resourcesOne command sets up the Router proxy, configures your agents, and gets you saving immediately.
Learn more at robotresources.ai
Related MCP server: whichmodel-mcp
About this MCP server
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.
Quick Start
npx @robot-resources/router-mcpRequires the Router proxy running at localhost:3838 (default). Override with ROUTER_URL env var.
Configuration
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"router": {
"command": "npx",
"args": ["-y", "@robot-resources/router-mcp"]
}
}
}Claude Code
Add to your .mcp.json:
{
"mcpServers": {
"router": {
"command": "npx",
"args": ["-y", "@robot-resources/router-mcp"]
}
}
}Custom Router URL
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"
}
}
}
}Tools
router_get_stats
Cost savings statistics for the Router proxy.
Parameter | Type | Default | Description |
|
|
| Time period |
|
| — | Filter by task type |
|
| — | Filter by provider |
router_compare_models
Compare models by capability and cost for a given task type.
Parameter | Type | Default | Description |
|
| required | Task type to compare |
|
|
| Minimum capability score |
|
| — | Filter by provider |
router_get_config
Read current routing configuration (provider scope, thresholds, overrides).
No parameters required.
router_set_config
Update routing configuration at runtime. Changes are in-memory only (reset on restart).
Parameter | Type | Description |
|
| Limit to specific provider(s) |
|
| Minimum capability score |
|
| Model for cost comparisons |
|
| Logging level |
Pass null for any field to reset it to the env-var default.
Requirements
Node.js >= 18.0.0
Router proxy running (see @robot-resources/router)
License
MIT
This server cannot be deployed
Maintenance
Related MCP Connectors
Hosted MCP server for LLM cost estimation, model comparison, and budget-aware routing.
AI model routing on your own vendor keys: pick the best model per prompt, or route and run it.
One MCP endpoint for Claude, GPT & Gemini: 100+ tools + no-code connectors + agent workers.
Sourced AI-model pricing and capability data — compare and route to the cheapest capable model.
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