# Commit Conventional Message Court (CCMCP)

> Use this tool when you need to standardize and improve commit messages in your project's history, as it analyzes code diffs and transforms vague messages into readable and conventional ones. It solves the problem of unclear commit messages by suggesting improvements based on actual code changes, maintaining project documentation quality. Ideal for use during code reviews or repository maintenance, it takes in code diffs and commit messages as input and outputs rewritten, conventional commit history.

Canonical page: https://skillsregistry.net/skills/jiseong-choi-ccmcp  
JSON: https://api.skillsregistry.net/v1/skills/jiseong-choi-ccmcp

## Description

An MCP server that uses AI to analyze code diffs and transform vague commit messages into readable, conventional commit history. It helps maintain project documentation quality by challenging unclear messages and suggesting improvements based on actual code changes.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vh9x5cbjs1)
- **Repository:** <https://github.com/jiseong-choi/CCMCP>

## 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": "jiseong-choi-ccmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jiseong-choi-ccmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jiseong-choi-ccmcp/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