io.github.grossiweb/toolroute
Route AI agent tasks to the best MCP server and LLM, scored on 132+ real benchmark executions.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
@toolroute/sdkclaude mcp add toolroute -- npx -y @toolroute/sdk@0.2.2
{
"mcpServers": {
"toolroute": {
"command": "npx",
"args": [
"-y",
"@toolroute/sdk@0.2.2"
]
}
}
}
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
ToolRoute
Routing layer for AI agents. One call returns the best MCP server and LLM for any task — scored on 132 real benchmark executions.
Quick start
Add to any MCP client (Claude Code, Cursor, Windsurf, Cline):
{
"mcpServers": {
"toolroute": {
"url": "https://toolroute.io/api/mcp"
}
}
}
Or via HTTP:
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 an object, not a bare string — the innerslugis the canonical model identifier.
How it works
Every task falls into one of three approaches:
| Approach | When | Returns |
|---|---|---|
direct_llm | Task needs only an LLM (code, writing, analysis) | Best model + cost estimate |
mcp_server | Task needs an external tool (search, email, calendar) | Best tool + best model |
multi_tool | Compound task ("send Slack AND update Jira AND email") | Ordered orchestration chain |
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.
Benchmark results
132 blind A/B executions across code, writing, analysis, structured output, and translation.
| ToolRoute | Fixed GPT-4o | |
|---|---|---|
| Quality wins | 6 | 0 |
| Ties | 9 | 9 |
| Losses | 0 | — |
| Avg cost | $0.001–0.01 | $0.03–0.10 |
API
| Endpoint | Method | Description |
|---|---|---|
/api/route | POST | Route a task to best MCP server + LLM (unified) |
/api/route/model | POST | Route to best LLM model only (no MCP server) |
/api/mcp | POST (JSON-RPC) | MCP server — 16 tools |
/api/mcp | GET (SSE) | SSE transport for MCP clients |
/api/report | POST | Report MCP server outcome (lightweight) |
/api/contributions | POST | Advanced MCP skill telemetry (requires skill_id or skill_slug in payload) |
/api/report/model | POST | Report LLM model outcome — use this for model telemetry, not /api/contributions |
/api/verify/model | POST | Verify model output quality |
/api/skills | GET | Search MCP server catalog |
/api/agents/register | POST | Register agent identity |
/api/agents/preferences | POST | Set routing preferences (Strategy D Phase 2 — allow_china, regulated_industries) |
/api/health | GET | Service health check (DB + uptime) |
/api/metrics | GET | Public aggregate platform metrics (no auth) |
Full reference at toolroute.io/api-docs
SDK
npm install @toolroute/sdk
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 })
Self-hosting
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
How routing works
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 via src/lib/routing/tiers.ts. Live pricing and capability data come
from the models table. See docs/architecture.md
for the full picture.
Stack
Next.js 14 (App Router) · Supabase (Postgres) · Vercel
License
MIT
Questions fréquentes
Qu'est-ce que io.github.grossiweb/toolroute ?
Route AI agent tasks to the best MCP server and LLM, scored on 132+ real benchmark executions.
Comment installer io.github.grossiweb/toolroute ?
Il s'exécute sur votre machine. Dans Claude Code : claude mcp add toolroute -- npx -y @toolroute/sdk@0.2.2. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour io.github.grossiweb/toolroute ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
io.github.grossiweb/toolroute est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient io.github.grossiweb/toolroute ?
Il est publié par grossiweb. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.