Description
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. An n8n automation workflow template by Ahmed Salama.
Ahmed Salama
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