# panel-review MCP server

> panel-review MCP server — jonny-helix-panel-mcp. Use this tool when you need to evaluate and compare the responses of multiple AI models to a given prompt, enabling adversarial review and analysis. It solves problems of model bias and inconsistency by providing a platform for comprehensive review and comparison. The tool accepts prompts as input and outputs comparative responses from multiple models, ideal for use cases requiring rigorous AI model testing and validation.

Canonical page: https://skillsregistry.net/skills/jonny-helix-panel-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jonny-helix-panel-mcp

## Description

Enables adversarial multi-model AI review via OpenRouter, allowing Claude to submit prompts to multiple models and compare responses through custom connector tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sau91gxh13)
- **Repository:** <https://github.com/Jonny-helix/panel-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": "jonny-helix-panel-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jonny-helix-panel-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jonny-helix-panel-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