# MCP Router

> Use this tool when you need to streamline AI model selection in Cursor IDE, as it automatically chooses the optimal LLM model for each task based on query complexity and task type. The MCP Router solves the problem of manual model selection, saving time and improving performance by applying customizable routing strategies across 17 different AI models. It takes in task queries and model specifications as inputs and outputs the most suitable LLM model for the task at hand.

Canonical page: https://skillsregistry.net/skills/ashcastelinocs124-mcp-router  
JSON: https://api.skillsregistry.net/v1/skills/ashcastelinocs124-mcp-router

## Description

Automatically selects the optimal LLM model for each task in Cursor IDE by analyzing query complexity, task type, and applying customizable routing strategies across 17 different AI models.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s7izgk26xi)
- **Repository:** <https://github.com/ashcastelinocs124/mcp-router>

## 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": "ashcastelinocs124-mcp-router"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ashcastelinocs124-mcp-router` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ashcastelinocs124-mcp-router/pull`

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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