Robot Resources Router MCP

Example Use Cases

• 1

  Monitor cost savings and usage statistics of the Robot Resources Router proxy.

• 2

  Compare AI models by capability and cost for specific task types.

• 3

  Read and update routing configurations dynamically within MCP-compatible environments.

Description

This MCP server provides AI agents with management tools for the Robot Resources Router proxy via the Model Context Protocol. It enables checking cost savings, comparing models by capability and cost, and adjusting routing configurations in real-time. The Router proxy optimizes LLM API usage by routing prompts to the most cost-effective model based on task type, significantly reducing API costs. The MCP server integrates seamlessly with Claude Desktop, Claude Code, and other MCP-compatible agents.