Convert GitHub commits into review-ready pull requests with Google Gemini

Description Categories Developer Automation, AI Agents, GitHub Automation, DevOps Productivity --- Build an AI-Driven GitHub Pull Request Automation with n8n + MCP This workflow creates an AI-powered GitHub automation that turns raw commit history into a clean, professional pull request automatically. When triggered via MCP or another workflow, it extracts repository details, fetches all commits from a target branch, uses AI to understand the intent behind the changes, and creates a well-structured pull request with a clear title and description. The result is a reliable, no-manual-work system that standardizes pull requests and reduces review friction across teams. --- Benefits Consistent Pull Requests Every PR follows a clean, readable structure regardless of who triggered it. Zero Manual Formatting No copy-pasting commit messages or writing descriptions by hand. Faster Review Cycles Reviewers get clear context upfront, reducing back-and-forth. AI-Assisted Context Awareness Commit history is summarized intelligently, not blindly concatenated. MCP-Ready Automation Can be called directly by AI tools like Cursor through MCP. --- How It Works MCP or Workflow Trigger - Triggered via MCP server or another n8n workflow - Accepts natural language or structured input Repository Information Extraction - AI extracts: - Repository owner - Repository name - Source branch - Base branch Commit Retrieval (GitHub API) - Fetches all commits for the source branch - Collects commit messages as context Commit Summarization (AI) - AI analyzes commit history - Generates: - A concise PR title - A clear bullet-point description Pull Request Creation - Creates a GitHub pull request automatically - Uses correct base and head branches - Inserts AI-generated title and description --- Required Setup GitHub - Repository access - OAuth or personal access token - Permission to read commits and create pull requests AI Model - Google Gemini or compatible LLM - Connected via n8n AI nodes n8n - Self-hosted or cloud - HTTP access to GitHub APIs - MCP Trigger enabled for AI tool access --- Business Use Cases Engineering Teams - Standardize PR quality across developers - Reduce cognitive load on contributors DevOps & Platform Teams - Enforce PR hygiene automatically - Improve velocity without extra process Founders & Tech Leads - Maintain clean repositories without micromanagement Agencies & Consultants - Deliver AI-assisted GitHub automation to clients --- Difficulty Level Intermediate --- Estimated Build Time 45–75 minutes --- Monthly Operating Cost - GitHub: Existing plan - AI Model: Free tier or usage-based - n8n: Self-hosted or cloud Typical range: $0–20/month --- Why This Workflow Works - Commits are the most reliable source of change intent - AI summarizes meaning, not noise - MCP enables direct AI-to-automation execution - GitHub remains the single source of truth --- Possible Extensions - Auto-assign reviewers based on files changed - Add PR labels using AI classification - Generate changelog entries automatically - Post PR summary to Slack or Teams - Enforce branch naming or commit standards --- Details Nodes used in workflow - MCP Trigger - AI Agent (Repository Extraction) - Structured Output Parser - GitHub API (Commits) - Summarize - AI LLM Chain - GitHub API (Create Pull Request) - If - Edit Fields (Set) - Sticky Note