# Changelog HQ

> Use this tool when you need to automatically generate structured and readable changelogs from GitHub pull requests. It solves the problem of manually creating changelogs, saving time and effort, and provides configurable formatting options through an SSE MCP endpoint with API key authentication. Ideal for use cases where consistency and readability of changelogs are crucial, such as in software development and release management.

Canonical page: https://skillsregistry.net/skills/changelog-hq  
JSON: https://api.skillsregistry.net/v1/skills/changelog-hq

## Description

Changelog HQ automatically generates changelogs from GitHub pull requests using AI-powered categorization and rewriting. It enables AI assistants to create structured, readable changelogs from PR history with configurable formatting options, via an SSE MCP endpoint with API key authentication.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/changelog-hq)

## 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": "changelog-hq"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/changelog-hq` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/changelog-hq/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