ToolRoute Model Router

Example Use Cases

• 1

  Minimize LLM token costs by selecting cheaper models automatically.

• 2

  That require reliable fallback and escalation when a chosen model or server fails.

• 3

  Leverage multiple MCP servers with confidence-scored recommendations.

Description

ToolRoute intelligently selects the most cost-effective large language model (LLM) or MCP server for a given task, providing fallback chains and auto-escalation to higher tiers if needed. It supports over 20 LLM models and 200+ MCP servers, offering significant cost savings (60-90%) compared to defaulting to expensive models like GPT-4o. ToolRoute improves routing decisions over time by learning from reported outcomes, enabling agents to optimize performance and cost automatically.