mcpField
M
mcp-n8n-builder

mcp-n8n-builder

Local
github.com/spences10Developer Tools86Updated 61w ago

About mcp-n8n-builder

An MCP server for creating and managing n8n workflows programmatically through n8n's REST API. It lets AI assistants build, modify and manage workflows, and it is aimed at users who want assistants to operate n8n directly.

Key features

  1. 01Create, read, update, delete, activate and deactivate workflows
  2. 02List workflow executions and retrieve details
  3. 03Zod-based validation of inputs and outputs
  4. 04Node type validation with suggestions for similar nodes
  5. 05Filter workflows by name, tags or active status
  6. 06Concise or full output verbosity settings

Use cases

  1. 01Letting an AI assistant generate n8n workflows from requirements
  2. 02Reviewing, editing or deactivating existing workflows in bulk
  3. 03Investigating why workflow executions failed

MCP support

The project is an MCP server that exposes tools for managing n8n workflows and executions to MCP clients. It also provides resources for workflow and execution details.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"n8n-builder": {
"command": "npx",
"args": [
"-y",
"mcp-n8n-builder"
],
"env": {
"N8N_HOST": "<N8N_HOST>",
"N8N_API_KEY": "<N8N_API_KEY>",
"OUTPUT_VERBOSITY": "<OUTPUT_VERBOSITY>"
}
}
}
}
Run commandnpx -y mcp-n8n-builder
Environment variables to set
N8N_HOST
N8N_API_KEYSecret
OUTPUT_VERBOSITY

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmmcp-n8n-builder

Tools

10

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
verbosityenumNoOutput verbosity level (concise, summary, or full). Default is concise which preserves context window space. Use summary for just category counts, or full for complete node details including descriptions.concise | summary | full
categorystringNoFilter nodes by category (e.g., "n8n-nodes-base")

Details

From the project README

mcp-n8n-builder

A Model Context Protocol (MCP) server for programmatic creation and management of n8n workflows. This server provides tools and resources for interacting with n8n's REST API, allowing AI assistants to build, modify, and manage workflows without direct user intervention.

README image

Features

  • 🔄 Workflow Management: Create, read, update, delete, activate, and deactivate workflows
  • 📊 Execution Management: List and retrieve workflow execution details
  • ✅ Schema Validation: Comprehensive validation with Zod for both input and output data
  • 🔍 Node Validation: Validates node types against n8n's available nodes before workflow creation to prevent errors
  • 🤔 Smart Suggestions: Provides suggestions for similar node types when invalid nodes are detected
  • 🛠️ Error Handling: Detailed error messages for troubleshooting
  • 📝 Documentation: Extensive documentation for all tools and resources
  • 🔍 Search & Filter: Filter workflows by name, tags, or active status

⚠️ Token Consumption Warning

This tool is a "token monster" due to the nature of n8n workflows:

  • N8N workflows are complex JSON structures with nested nodes, connections, parameters, and settings
  • A single workflow can easily consume thousands of tokens when viewed or edited
  • The JSON structure cannot be meaningfully reduced without losing essential workflow information
  • LLM context windows are finite - complex workflows may exceed available context
Mitigation Strategies

The tool implements several optimizations to reduce token usage:

  • Verbosity Control: Use OUTPUT_VERBOSITY=concise (default) for summaries instead of full JSON
  • Object Simplification: Workflow listings show only essential fields (id, name, status, node count)
  • Selective Guide Inclusion: Error messages include only relevant sections of the composition guide
  • Per-tool Verbosity: Override verbosity on individual tool calls with the verbosity parameter
Recommended Usage
  • List workflows first to identify what you need (low token cost)
  • Work with simple workflows when possible
  • Use concise verbosity unless you specifically need full JSON
  • Break complex workflows into smaller pieces for easier management
  • Consider the token cost before retrieving or editing large workflows

Configuration

This server requires configuration through your MCP client. Here are examples for different environments:

Cline Configuration

Add this to your Cline MCP settings:

{
	"mcpServers": {
		"n8n-workflow-builder": {
			"command": "npx",
			"args": ["-y", "mcp-n8n-builder"],
			"env": {
				"N8N_HOST": "http://localhost:5678/api/v1",
				"N8N_API_KEY": "your-n8n-api-key",
				"OUTPUT_VERBOSITY": "concise" // Options: 'concise' or 'full'
			}
		}
	}
}
Claude Desktop with WSL Configuration

For WSL environments, add this to your Claude Desktop configuration:

{
	"mcpServers": {
		"n8n-workflow-builder": {
			"command": "wsl.exe",
			"args": [
				"bash",
				"-c",
				"N8N_HOST=http://localhost:5678/api/v1 N8N_API_KEY=your-n8n-api-key OUTPUT_VERBOSITY=concise npx -y mcp-n8n-builder"
			]
		}
	}
}
Environment Variables

The server can be configured using environment variables:

VariableDescriptionDefault
N8N_HOSTURL of the n8n APIhttp://localhost:5678/api/v1
N8N_API_KEYAPI key for n8n authentication""
SERVER_NAMEName of the MCP server"n8n-workflow-builder"
SERVER_VERSIONVersion of the MCP serverPackage version
LOG_LEVELLogging level"info"
CACHE_ENABLEDEnable cachingfalse
CACHE_TTLCache TTL in seconds300
OUTPUT_VERBOSITYOutput verbosity level (concise or full)"concise"

MCP Tools

Node Management
  • list_available_nodes: Lists all available nodes in the n8n instance. IMPORTANT: Use this tool BEFORE creating or updating workflows to ensure you only use valid node types. This helps prevent errors caused by using node types that don't exist in the current n8n instance.
Workflow Management
  • list_workflows: Lists all workflows from n8n with their basic information including ID, name, status, creation date, and tags. Results can be filtered by active status, tags, or name.
  • create_workflow: Creates a new workflow in n8n with specified nodes and connections. Returns the created workflow with its assigned ID. Validates that all node types exist in the n8n instance.
  • get_workflow: Retrieves complete details of a specific workflow by its ID, including all nodes, connections, settings, and metadata.
  • update_workflow: Updates an existing workflow with new configuration. The entire workflow structure must be provided, not just the parts being changed. Validates that all node types exist in the n8n instance.
  • delete_workflow: Permanently deletes a workflow by its ID. This action cannot be undone.
  • activate_workflow: Activates a workflow by its ID, enabling it to run automatically based on its trigger.
  • deactivate_workflow: Deactivates a workflow by its ID, preventing it from running automatically.
Execution Management
  • list_executions: Lists workflow execution history with details on success/failure status, duration, and timestamps. Results can be filtered by workflow ID, status, and limited to a specific number.
  • get_execution: Retrieves detailed information about a specific workflow execution, including execution time, status, and optionally the full data processed at each step.

MCP Resources

  • n8n://workflows: List of all workflows in n8n
  • n8n://workflows/{id}: Details of a specific n8n workflow
  • n8n://executions/{id}: Details of a specific n8n workflow execution

Development

Setup
  1. Clone the repository
  2. Install dependencies:
npm install
  1. Build the project:
npm run build
  1. Run in development mode:
npm run dev
Publishing

The project uses changesets for version management. To publish:

  1. Create a changeset:
npm changeset
  1. Version the package:
npm changeset version
  1. Publish to npm:
npm release

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see the LICENSE file for details.

Acknowledgments

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.