AI-Powered GitHub Assistant
detail.loadingPreview
This n8n workflow transforms your GitHub operations with an AI-powered agent, enabling dynamic management of repositories, files, issues, and releases through natural language commands. Automate complex development tasks and streamline collaboration with intelligent automation.
About This Workflow
Unlock the full potential of GitHub with this advanced n8n workflow, acting as an AI-powered Multi-Capability Agent (MCP). Designed to integrate seamlessly with Large Language Models (LLMs), this workflow allows you to control a vast array of GitHub actions using natural language prompts. From managing repository files and tracking issues to orchestrating releases and reviewing pull requests, this intelligent agent empowers developers and teams to automate and streamline their entire GitHub experience, making development workflows more efficient and intuitive than ever before.
Key Features
- Comprehensive GitHub Management: Perform actions across files, issues, releases, repositories, and pull request reviews.
- AI-Driven Automation: Leverage an MCP trigger to enable an LLM to dynamically choose and execute GitHub operations based on prompts.
- File Operations: Create, edit, get, list, and delete files within your repositories.
- Issue Tracking & Management: Create, edit, comment on, get, and lock issues.
- Release Orchestration: Manage the full lifecycle of releases, including creation, updates, and deletion.
- Repository & Organization Control: Get repository information and invite users to organizations.
- Pull Request Review Management: Update and retrieve reviews for pull requests.
How To Use
- Configure GitHub Credentials: Ensure your n8n instance has valid GitHub API credentials set up for the
githubToolnodes. - Connect to an LLM: The
Github MCP Servernode acts as a trigger for your AI agent. Connect this to your chosen Large Language Model (e.g., OpenAI, Claude) to enable natural language interaction. - Define Agent Capabilities: The numerous
githubToolnodes represent the specific actions your AI agent can perform. These are pre-configured to expose a wide range of GitHub operations. - Provide Context to LLM: When setting up your LLM, ensure you provide it with context about the available GitHub tools and their functionalities so it can effectively utilize them based on user prompts.
- Activate and Interact: Once configured, activate the workflow. You can then interact with your AI agent via its exposed endpoint, prompting it with commands like "Create a new issue titled 'Bug Fix Needed'" or "List all files in the 'src' directory."
Apps Used
Workflow JSON
{
"id": "d2006618-2d6c-469e-80e3-f2b9c838e44c",
"name": "AI-Powered GitHub Assistant",
"nodes": 15,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: d2006618-2d6c...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
Statistics
Related Workflows
Discover more workflows you might like
Effortless Bug Reporting: Slack Slash Command to Linear Issue
Streamline your bug reporting process by instantly creating Linear issues directly from Slack using a simple slash command. This workflow enhances team collaboration by providing immediate feedback and a structured approach to logging defects, saving valuable time for development and QA teams.
Build a Custom OpenAI-Compatible LLM Proxy with n8n
This workflow transforms n8n into a powerful OpenAI-compatible API proxy, allowing you to centralize and customize how your applications interact with various Large Language Models. It enables a unified interface for diverse AI capabilities, including multimodal input handling and dynamic model routing.
Automate Qualys Report Generation and Retrieval
Streamline your Qualys security reporting by automating the generation and retrieval of reports. This workflow ensures timely access to crucial security data without manual intervention.