Claude Code

AI Assistants Developer Tools

v1.9.0

Last updated Apr 21, 2026

n8n community node for Claude Code CLI integration - execute AI-assisted coding tasks

65 Weekly Downloads

254 Monthly Downloads

View on NPM GitHub Repository

Included Nodes

Claude Code

Description

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  ||,|,|,||  / ,|__|           ⚡ for n8n ⚡


n8n-nodes-claude-code-cli
![CI](https://github.com/ThomasTartrau/n8n-nodes-claude-code-cli/actions/workflows/ci.yml)

![npm](https://www.npmjs.com/package/n8n-nodes-claude-code-cli)

![License: MIT](https://opensource.org/licenses/MIT)

![n8n](https://n8n.io)
🤖 Bring the power of Claude Code AI directly into your n8n workflows
Automate code reviews • Generate documentation • Fix bugs • Build coding bots
Getting Started •

Use Cases •

Documentation


---
✨ Features
| | |

|---|---|

| 🐳 Docker Execution - Run Claude Code in isolated containers | 🔄 Session Management - Multi-turn conversations across executions |

| 🎯 Tool Permissions - Fine-grained control over allowed tools | 📁 Context Files - Include files and directories for analysis |

| 🧠 Multiple Models - Opus, Sonnet, Haiku support | 📊 Rich Output - Costs, tokens, and session IDs |
---
⚡ Quick Start
1. Install the n8n node

In n8n: Settings > Community Nodes > Install > n8n-nodes-claude-code-cli


2. Deploy Claude Code Runner
n8n installed on host (not in Docker)? Use the standalone setup:
mkdir -p claude-code-runner && cd claude-code-runner && 
curl -fsSL https://raw.githubusercontent.com/ThomasTartrau/n8n-nodes-claude-code-cli/main/docker/production/claude-code/docker-compose.yml -o docker-compose.yml && 
curl -fsSL https://raw.githubusercontent.com/ThomasTartrau/n8n-nodes-claude-code-cli/main/docker/production/claude-code/Dockerfile -o Dockerfile && 
docker compose up -d --build


n8n also running in Docker? Use the complete stack instead

The node uses docker execto communicate with claude-code-runner. This requires: 1. Docker CLI installed inside the n8n container 2. Docker socket mounted to access the Docker daemon

The standard n8nio/n8n image doesn't include Docker CLI, so we provide a custom setup:


mkdir -p n8n-claude-code && cd n8n-claude-code && 
curl -fsSL https://raw.githubusercontent.com/ThomasTartrau/n8n-nodes-claude-code-cli/main/docker/production/n8n-with-claude-code/docker-compose.yml -o docker-compose.yml && 
curl -fsSL https://raw.githubusercontent.com/ThomasTartrau/n8n-nodes-claude-code-cli/main/docker/production/n8n-with-claude-code/Dockerfile.n8n -o Dockerfile.n8n && 
curl -fsSL https://raw.githubusercontent.com/ThomasTartrau/n8n-nodes-claude-code-cli/main/docker/production/n8n-with-claude-code/Dockerfile.claude-code -o Dockerfile.claude-code && 
docker compose up -d --build

This builds a custom n8n image with Docker CLI and deploys both n8n and claude-code-runner together. Access n8n at http://localhost:5678
Already have n8n running in Docker? You can modify your existing setup:
1. Create a custom Dockerfile for n8n:
FROM docker:29-cli AS docker-cli
FROM n8nio/n8n
USER root
COPY --from=docker-cli /usr/local/bin/docker /usr/local/bin/docker
RUN chmod +x /usr/local/bin/docker
USER node

2. Update your docker-compose.yml:
services:
  n8n:
    build: .  # Use the custom Dockerfile above
    user: root  # Required for Docker socket access
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
      # ... your other volumes

3. Deploy claude-code-runner separately using the standalone setup above
Important: Both containers must be managed by the same Docker daemon.


3. Authenticate
docker exec -it claude-code-runner claude login

Follow the browser prompts to complete authentication.
4. Configure n8n credentials

| Parameter | Value | |-----------|-------| | Connection Type | Docker | | Container Name |claude-code-runner| | Working Directory |/workspace |


5. Start automating 🚀
Search "Claude Code" in n8n node panel and create your first workflow.
---
🐳 Configuration
Workspace Setup
You have two options to work with your code:
Option 1: Clone repos inside container (recommended for isolation)
docker exec -it claude-code-runner git clone 
Or use git worktree for multiple branches

Option 2: Mount existing projects
volumes:
  - /path/to/your/project:/workspace/project-name

MCP Servers
Mount your MCP configuration to enable additional tools:
volumes:
  # MCP servers directory
  - ./mcp-servers:/root/.mcp
  # Or mount your local .mcp.json (avoids versioning credentials)
  - ~/.mcp.json:/root/.mcp.json:ro


🔐 Alternative: SSH deployment

For dedicated VM deployments (AWS EC2, GCP, etc.):
curl -fsSL https://deb.nodesource.com/setup_24.x | sudo -E bash -
sudo apt-get install -y nodejs git
npm install -g @anthropic-ai/claude-code
claude login

n8n Credentials: | Parameter | Value | |-----------|-------| | Connection Type | SSH | | Host | Your VM IP | | Port |22| | Auth Method |privateKey |


---
⚙️ Node Operations
| Operation | Description | Use Case |

|-----------|-------------|----------|

| Execute Prompt | Send a prompt and get a response | Direct AI interaction |

| Execute with Context | Include files as context | Code review, analysis |

| Continue Session | Continue last conversation | Multi-turn interactions |

| Resume Session | Resume specific session by ID | Continue after interruption |

📝 Detailed Parameters

Execute Prompt

Prompt (required): Instruction for Claude Code
Model: Claude model to use
Options: Working directory, timeout, system prompt
Execute with Context
Prompt (required): Instruction for Claude Code
Context Files: File paths to include
Additional Directories: Directory paths
Continue / Resume Session
Prompt (required): Follow-up message
Session ID (resume only): Previous session ID

---
💡 Use Cases
🔍 MR/PR Code Review Agent
┌─────────────┐     ┌──────────────┐     ┌─────────────┐     ┌──────────────┐
│   GitLab    │────▶│  Get Diff &  │────▶│ Claude Code │────▶│    Post      │
│   Webhook   │     │    Files     │     │   Review    │     │   Comments   │
└─────────────┘     └──────────────┘     └─────────────┘     └──────────────┘


Workflow Steps

1. Trigger: GitLab/GitHub webhook on new MR/PR 2. Fetch: Get changed files and diff via API 3. Review: Claude Code withexecuteWithContext- "Review this code. Check for bugs, security issues, suggest improvements." 4. Post: Send review comments back to GitLab/GitHub 5. Notify: Alert team via Slack/Discord (optional)


---
🎧 Support Assistant
┌─────────────┐     ┌──────────────┐     ┌─────────────┐     ┌──────────────┐
│   Support   │────▶│   Analyze    │────▶│ Claude Code │────▶│   Respond    │
│   Ticket    │     │    Issue     │     │   Solution  │     │   or Route   │
└─────────────┘     └──────────────┘     └─────────────┘     └──────────────┘


Workflow Steps

1. Trigger: Webhook from support system (Zendesk, Intercom)

2. Analyze: Claude Code understands the issue

   - "User reports: [issue]. Analyze and suggest solution."

3. Respond: Send AI response back via API

4. Escalate: Route complex issues to humans

---
📚 Auto Documentation
┌─────────────┐     ┌──────────────┐     ┌─────────────┐     ┌──────────────┐
│    Code     │────▶│  Get Changed │────▶│ Claude Code │────▶│   Commit     │
│    Push     │     │    Files     │     │  Gen Docs   │     │    Docs      │
└─────────────┘     └──────────────┘     └─────────────┘     └──────────────┘


Workflow Steps

1. Trigger: Webhook on code push to main

2. Identify: Get list of changed files

3. Generate: Claude Code generates documentation

   - "Generate docs for this code. Include descriptions, params, examples."

4. Commit: Create commit with updated docs

5. PR: Optionally create a PR for review

---
🐛 Auto Bug Fixing
┌─────────────┐     ┌──────────────┐     ┌─────────────┐     ┌──────────────┐
│   Sentry    │────▶│    Parse     │────▶│ Claude Code │────▶│  Create PR   │
│   Alert     │     │ Stack Trace  │     │   Fix Bug   │     │   + Notify   │
└─────────────┘     └──────────────┘     └─────────────┘     └──────────────┘


Workflow Steps

1. Trigger: Webhook from error monitoring (Sentry, Datadog)

2. Analyze: Parse error stack trace

3. Fix: Claude Code analyzes and fixes

   - "Error: [stack trace]. Analyze code and provide a fix."

4. Test: Run tests to validate

5. PR: Create pull request with fix

6. Notify: Alert team about automated fix

---
🤖 Cloud Coding Bots
Build AI coding assistants on Telegram, Slack, Discord, or GitLab/GitHub.


Examples

📱 Telegram Bot

1. Trigger: Telegram trigger on new message

2. Process: Claude Code handles coding question

3. Reply: Send response via Telegram node
💬 Slack Bot

1. Trigger: Slack mention or slash command

2. Context: Fetch relevant code from repos (optional)

3. Respond: Post response to channel

🦊 GitLab/GitHub Bot 1. Trigger: Issue comment with keyword (e.g.,/claude) 2. Analyze: Fetch issue context and code 3. Comment: Post Claude's analysis


---
📤 Output Structure
{
  "success": true,
  "sessionId": "550e8400-e29b-41d4-a716-446655440000",
  "output": "Here's my analysis of the code...",
  "exitCode": 0,
  "duration": 15234,
  "cost": 0.0523,
  "numTurns": 3,
  "usage": {
    "inputTokens": 1250,
    "outputTokens": 890
  }
}

| Field | Description | |-------|-------------| |success| ✅ Execution completed successfully | |sessionId| 🔗 ID for continuing conversations | |output| 📝 Response text from Claude Code | |cost| 💰 Estimated cost in USD | |usage | 📊 Token breakdown |


---
🔒 Security
🛡️ Tool Permissions
Control what Claude Code can do:
✅ Allowed: Read, Glob, Grep
❌ Blocked: Bash(rm:*), Write(.env)

🐳 Isolation Best Practices
Always set specific working directory

Avoid / or home directories


Create dedicated workspace per project


🔐 Recommended Security Settings

Disallow dangerous operations:

Bash(rm:*) - Prevent file deletion

Bash(sudo:*) - No sudo access

Write(.env) - Protect secrets

Bash(curl:*)` - Block network (if not needed)

---

🤝 Contributing

Development Setup

git clone https://github.com/ThomasTartrau/n8n-nodes-claude-code-cli.git
cd n8n-nodes-claude-code-cli
npm install && npm run build
Start n8n + claude-code-runner for testing
docker compose -f docker/development/docker-compose.yml up -d --build
Authenticate claude-code-runner
docker exec -it claude-code-runner claude login
Access n8n at http://localhost:5678

Docker Files Structure

docker/
├── development/
│   ├── Dockerfile          # n8n with docker CLI (dev)
│   └── docker-compose.yml  # n8n + claude-code-runner (mounts dist/)
└── production/
    ├── claude-code/
    │   ├── Dockerfile          # Standalone claude-code-runner
    │   └── docker-compose.yml  # For n8n on host (not Docker)
    └── n8n-with-claude-code/
        ├── Dockerfile.n8n          # n8n with Docker CLI
        ├── Dockerfile.claude-code  # claude-code-runner
        └── docker-compose.yml      # Complete stack (both services)

Submit Changes

git checkout -b feature/amazing-feature
git commit -m 'feat: add amazing feature'
git push origin feature/amazing-feature

---

📄 License

MIT License - see LICENSE for details.

---

GitHub •
npm •
n8n Community

---

Made with ❤️ for the n8n community

Included Nodes

Description

n8n-nodes-claude-code-cli

✨ Features

⚡ Quick Start

1. Install the n8n node

2. Deploy Claude Code Runner

3. Authenticate

4. Configure n8n credentials

5. Start automating 🚀

🐳 Configuration

Workspace Setup

Or use git worktree for multiple branches

MCP Servers

⚙️ Node Operations

Execute Prompt

Execute with Context

Continue / Resume Session

💡 Use Cases

🔍 MR/PR Code Review Agent

🎧 Support Assistant

📚 Auto Documentation

🐛 Auto Bug Fixing

🤖 Cloud Coding Bots

📤 Output Structure

🔒 Security

🛡️ Tool Permissions

🐳 Isolation Best Practices

🤝 Contributing

Development Setup

Start n8n + claude-code-runner for testing

Authenticate claude-code-runner

Access n8n at http://localhost:5678

Docker Files Structure

Submit Changes

📄 License

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