# ToolRoute

> ToolRoute — grossiweb-toolroute. Use this tool when you need to optimize AI agent performance by selecting the most suitable MCP server and Large Language Model (LLM) for a given task. ToolRoute solves the problem of suboptimal resource allocation by providing data-driven recommendations based on 132+ real benchmark executions. It takes in task specifications as input and outputs a scored recommendation for the best server and LLM combination.

Canonical page: https://skillsregistry.net/skills/grossiweb-toolroute  
JSON: https://api.skillsregistry.net/v1/skills/grossiweb-toolroute

## Description

Intelligent routing layer for AI agents: recommends the best MCP server and LLM for any task, scored on 132+ real benchmark executions.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/grossiweb/ToolRoute)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "grossiweb-toolroute"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/grossiweb-toolroute` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/grossiweb-toolroute/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt