GitHub Release Intelligence MCP
GitHub Release Intelligence MCP helps developers analyze GitHub releases with AI precision. Generate categorized changelogs from commits using generate_changelog, assess risks with score_release_risk (0-100 score on diffs, migrations, and breaking changes), and detect_breaking_changes like removed exports or API routes. Suggest optimal version bumps via suggest_version and draft tailored release notes with draft_release_notes.
Overview
The GitHub Release Intelligence MCP server delivers AI-driven analysis for GitHub repositories, turning raw commit data into actionable release insights. Use tools like generate_changelog, score_release_risk, detect_breaking_changes, suggest_version, and draft_release_notes to automate changelog creation, quantify deployment risks, identify disruptions, recommend semantic versioning, and produce tailored release notes—all from your GitHub repo diffs and commits.
Key Capabilities
- generate_changelog: Parses commits into a categorized Markdown changelog, grouping by types like feat, fix, perf, refactor, and docs for quick release summaries.
- score_release_risk: Computes a 0–100 risk score evaluating diff size, migration files, sensitive changes (e.g., credentials or configs), and breaking commits to gauge deployment safety.
- detect_breaking_changes: Scans for high-impact issues such as removed exports, deleted API routes, or major refactors that could break downstream dependencies.
- suggest_version: Analyzes conventional commit messages to propose patch, minor, or major version bumps, ensuring adherence to semantic versioning standards.
- draft_release_notes: Generates polished release notes customized for developers (technical details) or stakeholders (high-level impacts and benefits).
Use Cases
Run score_release_risk in your CI/CD pipeline to block high-risk deploys exceeding a 70 score, preventing outages from unchecked migrations. Before tagging a release, invoke detect_breaking_changes and suggest_version to flag disruptions and align with semver. Automate generate_changelog and draft_release_notes for GitHub Releases, saving hours on manual drafting—switch audiences with a single parameter for dev blogs or executive updates.
Who This Is For
Repository maintainers handling frequent releases, DevOps engineers integrating release checks into pipelines, open-source project leads needing consistent changelogs, and engineering managers assessing deployment risks across teams. Ideal for Node.js, Python, or any GitHub-hosted project using conventional commits.