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n8n-nodes-codecloud

v0.2.0

Published

n8n community node for Codecloud - run AI coding agents in the cloud

Downloads

12

Vulnerabilities

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Links

Git

Maintainers

rbilgil1rbilgil1

Keywords

n8n-community-node-packagecodecloudaicoding-agentgithub

Readme

n8n-nodes-codecloud

This is an n8n community node. It lets you use Codecloud in your n8n workflows.

Codecloud is a service for running AI coding agents in the cloud. Connect your GitHub repo, make an API request, and let AI agents automate coding tasks.

n8n is a fair-code licensed workflow automation platform.

Installation Operations Credentials Compatibility Usage Resources

Installation

Follow the installation guide in the n8n community nodes documentation.

Operations

Agent Run

  • Create Run - Create a new AI agent run on a GitHub repository
  • Get Many - Retrieve a list of agent runs
  • Get run - Get the details of a specific agent run
  • Send Follow-Up - Send a follow-up prompt to continue a completed agent run

Credentials

To use this node, you need a Codecloud API key:

  1. Sign up at codecloud.dev
  2. Connect your GitHub account
  3. Generate an API key from your dashboard
  4. API keys start with cc_

Compatibility

Tested with n8n version 1.0+.

Usage

Creating an Agent Run

  1. Add the Codecloud node to your workflow
  2. Select "Create Run" operation
  3. Enter the GitHub repository in owner/repo format
  4. Provide a prompt describing the task for the agent
  5. Select a model (e.g., Claude Sonnet 4) and provider
  6. Optionally configure:
    • Target branch
    • Execution mode (execute or plan)
    • Auto-create PR setting
    • Webhook URL for completion notifications

Monitoring Runs

Use "Get Many" to list your agent runs with optional status filtering (queued, running, completed, failed).

Use "Get Run" to retrieve full details of a specific run including results, PR information, and error messages.

Multi-turn Conversations

Use "Send Follow-Up" to continue a completed agent run with additional instructions. This preserves the context from the original run.

Resources