Changelog Generator

The Changelog Generator turns raw git commit history into polished, human-readable release notes without manual copy-editing. It parses commit messages against the conventional commits specification, groups changes by type (feat, fix, chore, breaking), and produces a formatted changelog entry mapped to the correct semantic versioning bump — patch, minor, or major. For teams that already tag commits consistently, this removes the recurring chore of writing release notes by hand before every deploy or tag push.

Because it runs as one skill inside a hosted MCP server, you connect your git provider and commit history once and then expose changelog generation to any AI agent — Claude, GPT, Gemini, or your own agent framework — through a single /api/mcp endpoint secured with a Bearer mcph_* key. There's no separate integration to maintain per model: whichever AI agent your team uses can call the same changelog generator, along with your other connected tools, databases, and revenue data, through that one unified connection. This is the core of BusinessMCP's model-agnostic approach — plug in a capability once, use it everywhere.

In practice, engineering teams use this skill to draft release notes automatically as part of a CI step, to keep CHANGELOG.md files in sync with tagged releases, and to give AI coding assistants enough context to explain "what changed" in a given version without re-reading raw diffs. Open-source maintainers rely on it to produce consistent, scannable release notes for every version bump, while product and support teams use the generated changelog copy as a starting point for customer-facing release announcements. Pairing it with a git workflow skill and a README generator rounds out a lightweight, agent-driven release pipeline: standardized commits in, structured changelog and semver bump out, documentation kept current alongside it.

Because every call to the changelog generator flows through the same hosted MCP endpoint as your other business tools, BusinessMCP's BI dashboard can surface release cadence, commit volume by type, and version bump frequency alongside the rest of your operational data — no extra logging setup required. That gives engineering leads a way to see release velocity trends without stitching together separate reporting tools, and it's all delivered cookielessly and in a GDPR-friendly manner, since BusinessMCP never relies on browser tracking to attribute this activity. If your team already writes conventional commits, or wants a low-friction reason to start, the Changelog Generator is a practical entry point into agent-driven developer tooling: it's narrow in scope, produces immediately usable output, and slots into an existing release process rather than replacing it. Add it to your hosted MCP server alongside git and documentation skills to give any connected AI agent full context on what shipped, when, and why — all through one endpoint and one dashboard.