Which integrations are available for this server?

Orchestrates multi-step tasks across Atlassian services by routing to specialized MCP servers within its catalog. Handles email operations by identifying and routing tasks to Gmail-integrated MCP servers as part of complex orchestration chains. Selects and routes tasks to Google's AI models, optimizing for performance and cost across different task tiers. Automates Jira issue management and updates by routing tasks to the appropriate Jira MCP server. Integrates Meta's language models into task routing workflows for efficient code and chat generation. Routes requests to OpenAI models, utilizing intelligent classification to pick the best model for quality and value. Routes communication tasks to Slack MCP servers to enable automated messaging within agent workflows.

ToolRoute

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

MIT

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_model is always an object, not a bare string — the inner slug is the canonical model identifier.

Related MCP server: Playwright MCP Server

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

This server cannot be installed

A

license - permissive license

-

quality - not tested

B

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

1Releases (12mo)

Resources

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ToolRoute

ToolRoute

Quick start

How it works

Benchmark results

API

SDK

Self-hosting

How routing works

Stack

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