# AI Code Review MCP Server

> Use this tool when you need to conduct thorough code reviews and scoring, as it provides multi-dimensional analysis and evaluation of code quality. It solves problems related to code optimization, error detection, and best practice adherence, making it ideal for developers and teams seeking to improve their codebase. The AI Code Review MCP Server accepts code submissions as input and outputs detailed review reports and scores.

Canonical page: https://skillsregistry.net/skills/hakityc-ai-codereview-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hakityc-ai-codereview-mcp

## Description

A code review tool server based on Model Context Protocol (MCP) providing multi-dimensional code review and scoring.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t57q067qwp)
- **Repository:** <https://github.com/hakityc/ai-codereview-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": "hakityc-ai-codereview-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hakityc-ai-codereview-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hakityc-ai-codereview-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