How can I host n8n for free?

Sign up at flowengine.cloud and deploy a free n8n instance in under 30 seconds. No credit card required for the free tier.

How do I build an n8n workflow with AI?

Visit flowengine.cloud/chat, describe your automation in plain English, and FlowEngine generates the n8n workflow JSON for you to import or deploy.

What makes FlowEngine different from n8n Cloud?

FlowEngine adds an AI workflow builder, a free workflow analyzer, and 100+ bundled LLM models without per-model API keys, on top of standard managed n8n hosting. Pricing starts at $7 per month versus $20 for n8n Cloud, and a free tier is available.

What LLM models are available inside FlowEngine?

Over 100 models including GPT-4o, Claude 3.5 Sonnet, Claude 3 Opus, Gemini 1.5 Pro, Llama 3 70B, and Mistral Large. Accessible inside any n8n workflow without managing separate API keys.

Does FlowEngine support custom domains?

Yes. All paid plans include custom domain support with automatic SSL provisioning via Let's Encrypt.

Is the n8n workflow analyzer really free?

Yes. flowengine.cloud/n8n-workflow-analyzer is completely free, requires no signup, and runs in-browser so workflow contents stay private.

Can I export my workflows out of FlowEngine?

Yes. Workflows are stored in standard n8n JSON format and can be exported from the n8n UI at any time. There is no vendor lock-in beyond the hosting layer.

FlowEngine MCP Server(Open Source)

Build n8n workflows with AI - 600+ nodes, intelligent validation & auto-fixing

View on GitHub View on npm Video Tutorial

What is MCP?

The Model Context Protocol (MCP) is an open protocol that enables AI assistants to securely connect with external tools and data sources. The FlowEngine MCP server allows any MCP-compatible AI (Claude, Cursor, Cline, etc.) to generate production-ready n8n workflows from natural language descriptions.

🎯

600+ Nodes

Full access to n8n-nodes-base and LangChain nodes with real schemas

✅

Auto-Validation

Intelligent error detection and automatic workflow fixing

🔒

Security Scanning

Vulnerability detection and sensitive data protection

Installation

Remote Server (Unlimited Usage)

Connect to our hosted MCP server - no local installation needed. Unlimited usage with always up-to-date node schemas.

Server URL:

https://mcp-flowengine-n8n-workflow-builder.onrender.com/mcp

Configuration

Config file: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "flowengine-n8n": {
      "url": "https://mcp-flowengine-n8n-workflow-builder.onrender.com/mcp"
    }
  }
}

Select Your IDE

Video Tutorial

Watch this step-by-step guide on how to install and configure the FlowEngine MCP server

Available Tools (23)

build_workflow

Generate complete n8n workflow from description

validate_workflow

Check workflow for errors and issues

scan_security

Detect vulnerabilities and sensitive data

analyze_performance

Identify bottlenecks and optimization opportunities

suggest_nodes

Get node recommendations for specific tasks

search_nodes

Find nodes by keyword or functionality

get_node_details

Get detailed documentation for a specific node

add_node

Add a node to existing workflow

remove_node

Remove a node from workflow

update_node

Update node parameters

connect_nodes

Create connections between nodes

fix_workflow

Automatically fix workflow errors

Quick Start Guide

Choose Installation Method

Select Remote (unlimited, hosted) or Local (runs on your machine) installation above

Add Configuration

Copy the config for your IDE and add it to the configuration file. For Claude Desktop, that's ~/Library/Application Support/Claude/claude_desktop_config.json

Restart Your IDE

Restart your AI assistant/IDE to load the new MCP server

Start Building

Try asking your AI: "Build me an n8n workflow that sends a Slack notification when I receive an important email"

Documentation & Resources

📖 Full Documentation

Complete guide with examples, API reference, and troubleshooting

🔗 MCP Protocol Docs

Learn about the Model Context Protocol standard

🔧 FlowEngine API

Use FlowEngine's REST API to build your own integrations

📚 Workflow Library

Browse pre-built workflows for inspiration

Need Help?

Join our Discord community for support, feature requests, and to share your workflows:

Join Discord Community

FlowEngine Model Context Protocol (MCP) Servers - n8n Workflow Builder & Portal Management

What are the FlowEngine MCP Servers?

FlowEngine provides two powerful MCP servers: (1) An open-source n8n Workflow Builder that enables AI assistants like Claude, Cursor, Cline, and other MCP-compatible tools to generate production-ready n8n workflows from natural language descriptions. (2) The FlowEngine MCP App that provides interactive UI dashboards for managing client portals, instances, and building UI embeds (forms, chatbots, widgets) with the AI FlowBuilder. Both servers provide seamless integration with popular AI coding assistants and IDEs.

Key Features of FlowEngine MCP

Access to 600+ n8n Nodes

Full access to n8n-nodes-base and LangChain nodes with complete schemas. Build workflows using any n8n node including HTTP Request, Webhook, Gmail, Slack, Discord, Database operations, AI integrations, and hundreds more automation nodes.

Intelligent Workflow Validation

Automatic error detection and validation for n8n workflows. The MCP server checks for configuration errors, missing required fields, invalid connections, and compatibility issues before you deploy your automation workflow.

Auto-Fixing Capabilities

Intelligent automatic workflow fixing powered by AI. When validation errors are detected, the FlowEngine MCP server can automatically suggest and apply fixes to your n8n workflow configuration, saving development time and reducing errors.

Security Scanning

Built-in vulnerability detection and sensitive data protection. Scan your n8n workflows for security issues, exposed credentials, hardcoded secrets, and potential data leaks before deploying to production environments.

FlowEngine MCP App Features

Interactive UI Dashboards

The FlowEngine MCP App extends MCP with interactive UI capabilities. View client portals, instances, and UI embeds directly in Claude Desktop or Claude Code with rich visual dashboards instead of JSON data. Supports MCP Apps specification for embedded HTML interfaces.

Portal & Instance Management

Manage client portals and FlowEngine instances with AI assistance. View portal statistics, storage usage, instance status, and configuration all through interactive dashboards that render directly in your AI assistant.

AI FlowBuilder

Build forms, chatbots, widgets, and other UI embeds using AI-powered conversation. Preview components live, copy embed codes, and manage your entire UI embed library through the interactive dashboard interface.

n8n Workflow Visualization

View and interact with n8n workflows using the embedded n8n demo component. Visualize workflow nodes, connections, and configuration in a full-featured workflow editor rendered directly in your AI conversation.

MCP Server Installation Methods

Remote MCP Server (Recommended)

Connect to our hosted FlowEngine MCP server at https://mcp-flowengine-n8n-workflow-builder.onrender.com/mcp for unlimited usage with no local installation required. Always up-to-date with the latest n8n node schemas and workflow features. Perfect for Claude Desktop, Cursor, Windsurf, and other MCP-compatible AI assistants.

Local MCP Installation

Install the FlowEngine MCP server locally using npm: npm install -g flowengine-n8n-workflow-builder. Run the MCP server on your own machine with full control over resources and data privacy. Ideal for development environments and offline workflow building.

Supported AI Assistants and IDEs for MCP

Claude Desktop - Anthropic's AI assistant with full MCP support
Cursor - AI-first code editor with Model Context Protocol integration
Cline (VSCode) - Visual Studio Code extension for AI-powered coding
Windsurf - Modern AI coding assistant with MCP capabilities
Continue.dev - Open-source AI code assistant for VSCode and JetBrains
Zed Editor - High-performance code editor with MCP context servers
OpenAI Desktop - ChatGPT desktop app with MCP server support
VSCode - Visual Studio Code with MCP extension
JetBrains IDEs - IntelliJ, PyCharm, WebStorm with MCP integration
Emacs - Customizable text editor with MCP configuration

Available MCP Tools for Workflow Building

build_workflow - Generate complete n8n workflows from natural language descriptions
validate_workflow - Check n8n workflows for configuration errors and issues
scan_security - Detect vulnerabilities and sensitive data in workflows
analyze_performance - Identify bottlenecks and optimization opportunities
suggest_nodes - Get intelligent node recommendations for specific automation tasks
search_nodes - Find n8n nodes by keyword or functionality
get_node_details - Get detailed documentation for specific n8n nodes
add_node - Add nodes to existing n8n workflows
remove_node - Remove nodes from workflows
update_node - Update node parameters and configuration
connect_nodes - Create connections between workflow nodes
fix_workflow - Automatically fix workflow validation errors

How to Configure MCP Server

Claude Desktop MCP Configuration

Add FlowEngine MCP to Claude Desktop by editing the configuration file at ~/Library/Application Support/Claude/claude_desktop_config.json (macOS), %APPDATA%/Claude/claude_desktop_config.json (Windows), or ~/.config/Claude/claude_desktop_config.json (Linux). Include the MCP server URL or command in the mcpServers section.

Cursor MCP Setup

Configure FlowEngine MCP in Cursor by editing ~/.cursor/mcp_config.json (macOS/Linux) or %USERPROFILE%\.cursor\mcp_config.json (Windows). Add the MCP server configuration to enable AI-powered n8n workflow generation in Cursor.

VSCode Cline MCP Integration

Set up FlowEngine MCP in VSCode Cline extension through the settings at ~/.vscode/extensions/saoudrizwan.claude-dev-*/settings/cline_mcp_settings.json. Configure the MCP server to unlock AI workflow building capabilities in VSCode.

n8n Workflow Automation Use Cases

Build powerful automation workflows with FlowEngine MCP including email automation with Gmail, Slack notifications and bot integrations, Discord webhooks and message handling, database operations with PostgreSQL, MySQL, MongoDB, HTTP API integrations, webhook triggers and responses, scheduled cron jobs, file processing and manipulation, data transformation and enrichment, AI integrations with OpenAI, Anthropic, LangChain, customer relationship management, marketing automation, DevOps pipeline automation, and much more.

Benefits of Using MCP for Workflow Building

The Model Context Protocol enables AI assistants to access specialized tools and data sources securely. With FlowEngine MCP, you get natural language workflow generation, intelligent error handling and validation, automatic workflow optimization, security best practices enforcement, faster development cycles, reduced manual configuration, consistent workflow quality, and seamless integration with your favorite AI coding assistant.

Open Source and Community

FlowEngine MCP Server is fully open source and available on GitHub and npm. Join our Discord community for support, feature requests, workflow sharing, and contributions. The MCP server is actively maintained with regular updates for new n8n nodes and features.

Getting Started with FlowEngine MCP

Start building AI-powered n8n workflows in minutes. Choose between remote or local installation, configure your preferred AI assistant (Claude, Cursor, Cline, etc.), restart your IDE to load the MCP server, and begin creating workflows with natural language prompts like "Build me an n8n workflow that sends a Slack notification when I receive an important email" or "Create a workflow to sync new Airtable records to my PostgreSQL database."

MCP Protocol Documentation and Resources

Learn more about the Model Context Protocol standard at modelcontextprotocol.io. Access full FlowEngine MCP documentation on GitHub with examples, API reference, troubleshooting guides, and integration tutorials. Explore the FlowEngine REST API for building custom integrations and browse the workflow library for pre-built automation templates.