# mcp-agent-review

> Use this tool when you need to automate code reviews and improve code quality, as it solves problems of manual review inefficiency and inaccuracy by providing AI-powered feedback. The mcp-agent-review tool takes in code submissions as input and outputs detailed review comments, leveraging OpenAI-compatible models for enhanced analysis. It is particularly useful in development contexts where Claude Code is utilized.

Canonical page: https://skillsregistry.net/skills/lzx1413-mcp-agent-review  
JSON: https://api.skillsregistry.net/v1/skills/lzx1413-mcp-agent-review

## Description

An MCP server that provides agentic code review powered by OpenAI-compatible models, designed for use with Claude Code.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zi93hchgt2)
- **Repository:** <https://github.com/lzx1413/mcp-agent-review>

## 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": "lzx1413-mcp-agent-review"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lzx1413-mcp-agent-review` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lzx1413-mcp-agent-review/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