# Code Review Analyst

> Use this tool when you need to analyze and improve code quality, identify errors, and optimize performance. The Code Review Analyst solves problems related to code maintenance, debugging, and refinement, providing outputs such as error reports, optimization suggestions, and code quality metrics from inputs like source code and project requirements. It is ideal for use in software development contexts where code quality and reliability are crucial.

Canonical page: https://skillsregistry.net/skills/io-github-j0hanz-code-review-analyst  
JSON: https://api.skillsregistry.net/v1/skills/io-github-j0hanz-code-review-analyst

## Description

Gemini-powered MCP server for code review analysis.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.j0hanz%2Fcode-review-analyst)
- **Repository:** <https://github.com/j0hanz/code-review-analyst-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": "io-github-j0hanz-code-review-analyst"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-j0hanz-code-review-analyst` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-j0hanz-code-review-analyst/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