What authentication is required to use Release Notes Server?
A GitHub personal access token with repository access must be provided via the `GITHUB_TOKEN` environment variable.
@nickbaumann98
基本情報
An MCP server for generating release notes from GitHub commits
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Release Notes Server is an MCP server that generates beautiful release notes from GitHub repositories. It fetches commits, organizes them by type (features, fixes, etc.), and presents them in a clean, readable Markdown format with emojis and statistics. It is designed for developers and teams who need to produce structured release summaries from GitHub projects.
Install the package via npm install and build it with npm run build. Add the server to your MCP configuration by specifying the node command pointing to the built index.js and providing a GITHUB_TOKEN environment variable for repository access. Invoke the generate_release_notes tool with parameters for owner, repo name, commit range (optional from/to SHA), and format options (type, grouping, statistics).
since parameterA GitHub personal access token with repository access must be provided via the `GITHUB_TOKEN` environment variable.
The release notes are generated in Markdown format, with sections for each commit type (e.g., 🚀 Features, 🐛 Fixes) and optional statistics.
Commits are filtered by a date range or by commit SHA using GitHub’s `since` parameter when possible, with fallback to SHA-based filtering as needed.
It accepts `owner`, `repo`, a `commitRange` object with optional `fromCommit` and `toCommit` strings, and a `format` object specifying output type (`markdown`), grouping method (`type`), and whether to include statistics.
The server handles pagination efficiently and maintains newest-first ordering, but no specific rate limits or runtime constraints are documented in the README.

Local-first MCP server that snapshots your project's working state into one context object. Open-core, privacy-first.
Project context your AI can query through MCP — with source evidence.
Person-owned, portable AI memory served over MCP. Your knowledge, preferences, and decisions — captured in one assistant, available in all of them.

Islamic source data for assistants: Quran, hadith, tafsir, duas, prayer times and qibla. Answers come from real sources with citations instead of recalled text, so verses and hadith are not hallucinated. 36,000+ hadiths

Sooveryn gives Claude Code a team of AI personas that remembers your project. Soov, the partner and team lead, keeps your decisions and how you work in a lasting memory, and finds them again by words and by meaning, from
コメント