# CodePeel MCP Server

> Use this tool when you need to automate code review and debugging, as it enables AI agents to review code diffs for bugs, security issues, and bad patterns, and generate fixes, taking in code snippets as input and outputting corrected code and recommendations. This tool solves problems related to code quality, security, and maintenance, making it ideal for use in software development and testing contexts. It streamlines the development process by providing instant feedback and suggestions for improvement.

Canonical page: https://skillsregistry.net/skills/codepeel-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/codepeel-mcp-server

## Description

Enables AI agents to review code diffs for bugs, security issues, and bad patterns, and generate fixes.

## Trust

- **Trust score (0–1):** 0.93
- **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:** [Glama](https://glama.ai/mcp/servers/eq4nhke3y4)
- **Repository:** <https://github.com/codepeel/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": "codepeel-mcp-server"
    }
  }
}
```

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