# Claude Code Review

> Use this tool when you need to obtain comprehensive code reviews from multiple AI models, such as OpenAI, Google, and Anthropic, to improve your code quality and gain second opinions. It solves problems related to code validation, optimization, and best practices by providing structured and freeform reviews with project context and language detection. The tool accepts code inputs and returns detailed review outputs through the MCP protocol, making it ideal for developers seeking AI-driven code feedback within their preferred client environment.

Canonical page: https://skillsregistry.net/skills/praneybehl-claude-code-review  
JSON: https://api.skillsregistry.net/v1/skills/praneybehl-claude-code-review

## Description

Claude Code Review MCP provides a server for obtaining code reviews from OpenAI, Google, and Anthropic models through the MCP protocol. Developed by Praney Behl, it offers both structured and freeform code review capabilities with support for project context, related files, and language detection. The implementation features robust JSON handling with specialized fixes for common MCP communication issues, automatic model selection based on available API keys, and comprehensive error recovery. It's particularly valuable for developers seeking second opinions on their code from different AI models without leaving their preferred MCP client environment, such as Claude Code, Claude Desktop, Cursor, or Windsurf.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/praneybehl-claude-code-review)
- **Repository:** <https://github.com/praneybehl/code-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": "praneybehl-claude-code-review"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/praneybehl-claude-code-review` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/praneybehl-claude-code-review/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