# code-review-mcp-server

> Use this tool when you need to automate code review and provide feedback on GitHub pull requests. It solves problems of manual code review and commenting by integrating with MCP to streamline the development process. The tool takes code submissions as input and outputs commented GitHub PRs, ideal for use in collaborative software development projects.

Canonical page: https://skillsregistry.net/skills/orcus2021-code-review-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/orcus2021-code-review-mcp-server

## Description

Enables automated code review and GitHub PR commenting through MCP integration.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ad8cfb3eox)
- **Repository:** <https://github.com/Orcus2021/code-review-mcp-server>

## 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": "orcus2021-code-review-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/orcus2021-code-review-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/orcus2021-code-review-mcp-server/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