ToolRoute

Routing layer for AI agents. One call returns the best MCP server and LLM for any task — scored on 132 real benchmark executions.

Add to any MCP client (Claude Code, Cursor, Windsurf, Cline):

{ "mcpServers": { "toolroute": { "url": "https://toolroute.io/api/mcp" } } }

curl -X POST https://toolroute.io/api/route \ -H "Content-Type: application/json" \ -d '{"task": "search the web for recent AI papers"}'

{ "approach": "mcp_server", "recommended_skill": "exa-mcp-server", "recommended_skill_name": "Exa MCP Server", "recommended_model": { "slug": "claude-haiku-4-5-20251001", "display_name": "Claude Haiku 4.5", "provider": "anthropic", "tier": "cheap_chat", "provider_model_id": "anthropic/claude-haiku-4-5-20251001", "input_cost_per_mtok": 1.00, "output_cost_per_mtok": 5.00 }, "confidence": 0.91, "alternatives": ["brave-search-mcp", "tavily-mcp"], "fallback": "brave-search-mcp" }

recommended_modelis always anobject, not a bare string — the innerslugis the canonical model identifier.

Every task falls into one of three approaches:

Routing uses an LLM classifier (~$0.00001/call) for task understanding, then ranks candidates on a 5-dimension score:

Value Score = 0.35 × Output Quality + 0.25 × Reliability + 0.15 × Efficiency + 0.15 × Cost + 0.10 × Trust

Every reported outcome updates the scores. The routing gets more accurate as more agents use it.

132 blind A/B executions across code, writing, analysis, structured output, and translation.

import { ToolRoute } from '@toolroute/sdk' const tr = new ToolRoute() const rec = await tr.route({ task: 'parse this CSV and summarize it' }) // execute with rec.recommended_model ... await tr.report({ skill: rec.recommended_skill, outcome: 'success', latency_ms: 1400 })

git clone https://github.com/grossiweb/ToolRoute.git cd ToolRoute cp .env.local.example .env.local npm install npm run dev

Requires:NEXT_PUBLIC_SUPABASE_URL,NEXT_PUBLIC_SUPABASE_ANON_KEY,SUPABASE_SERVICE_ROLE_KEY

ToolRoute classifies each task using an LLM classifier (Gemini Flash Lite, ~$0.00001/call) with a keyword fallback. The resulting tier maps to a specific model viasrc/lib/routing/tiers.ts. Live pricing and capability data come from themodelstable. Seedocs/architecture.mdfor the full picture.

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