# Whichmodel-mcp

> Use this tool when you need to optimize language model selection for autonomous agents, as it provides cost-optimized recommendations via Model Cost Protocol (MCP). The Whichmodel-mcp tool solves the problem of choosing the most efficient language model for specific tasks, taking into account cost factors. It accepts task specifications as input and outputs recommended language models with associated costs.

Canonical page: https://skillsregistry.net/skills/which-model-whichmodel-mcp  
JSON: https://api.skillsregistry.net/v1/skills/which-model-whichmodel-mcp

## Description

A model routing advisor for autonomous agents — get cost-optimised LLM recommendations via MCP.

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pm5rb43dcd)
- **Repository:** <https://github.com/Which-Model/whichmodel-mcp>

## 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": "which-model-whichmodel-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/which-model-whichmodel-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/which-model-whichmodel-mcp/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