# mutual-review-mcp

> Use this tool when you need to streamline code review processes and improve accuracy by leveraging dual LLM evaluations. The mutual-review-mcp tool takes in code submissions and returns a unified report synthesizing the independent findings of two LLMs, Claude and GPT-4o, to identify errors and suggest improvements. This tool is ideal for development teams seeking to enhance code quality and reduce review time.

Canonical page: https://skillsregistry.net/skills/miharu8686-mutual-review-mcp  
JSON: https://api.skillsregistry.net/v1/skills/miharu8686-mutual-review-mcp

## Description

An MCP server that enables code review by having two LLMs (Claude and GPT-4o) independently evaluate code and then synthesize their findings into a unified report.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uld3rvvdfa)
- **Repository:** <https://github.com/miharu8686/mutual-review-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": "miharu8686-mutual-review-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/miharu8686-mutual-review-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/miharu8686-mutual-review-mcp/pull`

---
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