# MCP-CodeReviewer

> Use this tool when you need to automate code review and analysis for GitHub pull requests, reducing costs and improving efficiency. The MCP-CodeReviewer engine provides deep code analysis through static analysis, RAG, and LLM-based checks, integrating seamlessly with GitHub PRs via the MCP protocol. It is ideal for optimizing code review workflows and minimizing LLM token consumption.

Canonical page: https://skillsregistry.net/skills/jack-hack666-mcp-code-reviewer  
JSON: https://api.skillsregistry.net/v1/skills/jack-hack666-mcp-code-reviewer

## Description

A three-layer funnel AI code review engine that reduces LLM token consumption by 70%+ while providing deep code analysis. It integrates with GitHub PRs via MCP protocol to automate code review with static analysis, RAG, and LLM-based checks.

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h448x0mh51)
- **Repository:** <https://github.com/jack-hack666/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": "jack-hack666-mcp-code-reviewer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jack-hack666-mcp-code-reviewer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jack-hack666-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