# compare-mcp

> Use this tool when you need to streamline code review processes by leveraging multiple Large Language Models (LLMs) to identify and resolve issues efficiently. It solves problems of manual code review, inconsistent feedback, and slow implementation of fixes by automating the process of issue identification, debate, and resolution. The tool takes in code as input and outputs a consolidated report of unique insights from multiple LLMs, along with git commits implementing the suggested fixes.

Canonical page: https://skillsregistry.net/skills/cristophereasygoing927-compare-mcp  
JSON: https://api.skillsregistry.net/v1/skills/cristophereasygoing927-compare-mcp

## Description

Enables multi-model code review by fanning out issues to multiple LLMs simultaneously, diffing their unique insights, optionally running debate rounds, and dispatching subagents to implement fixes with git commits.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/af261zpk9x)
- **Repository:** <https://github.com/Cristophereasygoing927/compare-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": "cristophereasygoing927-compare-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cristophereasygoing927-compare-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cristophereasygoing927-compare-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