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n8n Workflow Builder MCP Server

@makafeli

Repository

Basic information

Category

Reasoning

License

MIT

Transports

stdio

Author

makafeli

About n8n Workflow Builder MCP Server

AI assistant integration for n8n workflow automation through Model Context Protocol (MCP). Connect Claude Desktop, ChatGPT, and other AI assistants to n8n for natural language workflow management.

n8n Workflow Builder MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "n8n-workflow-builder": {
      "command": "npx",
      "args": [
        "@makafeli/n8n-workflow-builder"
      ]
    }
  }
}

n8n Workflow Builder MCP Server tools

23

List all workflows from n8n instance

Create a new workflow in n8n

Get a workflow by ID

Update an existing workflow by ID

Delete a workflow by ID

Activate a workflow by ID

Deactivate a workflow by ID

Execute a workflow manually

Create a new workflow and immediately activate it

List workflow executions with filtering and pagination support

Get detailed information about a specific workflow execution

Delete a workflow execution record from the n8n instance

List all workflow tags with pagination support

Create a new workflow tag for organization and categorization

Retrieve individual tag details by ID

Modify tag names for better organization

Remove unused tags from the system

Get all tags associated with a specific workflow

Assign or remove tags from workflows

Create a new credential for workflow authentication. Use get_credential_schema first to understand required fields for the credential type.

Get the schema for a specific credential type to understand what fields are required when creating credentials.

Delete a credential by ID. This will remove the credential and make it unavailable for workflows. Use with caution as this action cannot be undone.

Generate a comprehensive security audit report for the n8n instance

Overview

What is n8n Workflow Builder MCP Server?

A Model Context Protocol (MCP) server that bridges AI assistants (such as Claude Desktop, ChatGPT, or any MCP-compatible client) with an n8n automation instance. It enables natural-language workflow management, creation, execution, and monitoring through the n8n API.

How to use n8n Workflow Builder MCP Server?

Install via NPX (npx @makafeli/n8n-workflow-builder) or use the hosted Smithery.ai version. Set environment variables N8N_HOST (your n8n URL) and N8N_API_KEY (from n8n Settings > API Keys). Configure the server in your MCP client (e.g., Claude Desktop, Cline) with the same command and env values.

Key features of n8n Workflow Builder MCP Server

  • Complete CRUD operations for n8n workflows
  • AI-first design built for assistant integration
  • Zero configuration with NPX run
  • Secure via n8n official API with authentication
  • Modern TypeScript architecture with MCP SDK
  • High performance with optimized response times

Use cases of n8n Workflow Builder MCP Server

  • List and browse existing n8n workflows through conversation
  • Create new workflows with complex node configurations
  • Execute workflows on demand via natural language
  • Manage workflow lifecycle (activate, deactivate, update, delete)

Frequently asked questions

1

What are the system requirements?

Node.js v18.0.0 or higher, a running n8n instance (self-hosted or cloud), and an n8n API key with appropriate permissions.

2

How do I get an n8n API key?

In your n8n instance, go to Settings → API Keys → Create API Key, then copy the generated key.

3

Is there a hosted version available?

Yes, the server is available as a hosted service on Smithery.ai with no local installation required.

4

Which MCP clients are supported?

The server works with any MCP-compatible client; explicit setup instructions are provided for Claude Desktop and Cline (VS Code extension).

5

How do I configure environment variables?

Set `N8N_HOST` to your n8n instance URL (e.g., `http://localhost:5678`) and `N8N_API_KEY` to your API key, then export them or include them in your MCP client’s config JSON.

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