# MCP Code Reviewer

> Use this tool when you need to improve code quality and reliability through automated analysis and refinement. The MCP Code Reviewer solves problems related to code optimization, bug detection, and testing, providing inputs such as code snippets and outputs including refactoring suggestions and generated tests. It is ideal for use in software development contexts where efficiency, accuracy, and iterative improvement are crucial.

Canonical page: https://skillsregistry.net/skills/parthamehta123-mcp-code-reviewer  
JSON: https://api.skillsregistry.net/v1/skills/parthamehta123-mcp-code-reviewer

## Description

Enables AI-powered code review and improvement, including analysis, refactoring suggestions, and automatic test generation, with an optional agentic loop for iterative refinement.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nclybqr6ai)
- **Repository:** <https://github.com/parthamehta123/mcp-code-reviewer>

## 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": "parthamehta123-mcp-code-reviewer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/parthamehta123-mcp-code-reviewer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/parthamehta123-mcp-code-reviewer/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