# cursor_multi_model_mcp

> cursor_multi_model_mcp — felixzhudev-cursor-multi-model-mcp. Use this tool when you need to query multiple AI models in parallel, such as OpenAI's GPT, Google's Gemini, and Anthropic's Claude, to compare results and leverage their unique strengths. It solves problems of model bias and limited perspective by providing a unified interface for multi-model queries. With environment-based configuration, it outputs comparative results from each model, taking in user queries as input.

Canonical page: https://skillsregistry.net/skills/felixzhudev-cursor-multi-model-mcp  
JSON: https://api.skillsregistry.net/v1/skills/felixzhudev-cursor-multi-model-mcp

## Description

MCP server for Cursor — query OpenAI (GPT), Google (Gemini), and Anthropic (Claude) in parallel. Single tool, env-based config.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/felixzhudev/cursor_multi_model_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": "felixzhudev-cursor-multi-model-mcp"
    }
  }
}
```

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