Two env vars. Runs on your machine (stdio) or as a remote HTTP server. No hosted account.
mcp-n8n is an MCP project maintained in the leonardosepulvedat/mcp-n8n repository. The maintainer describes its purpose as “Two env vars. Runs on your machine (stdio) or as a remote HTTP server. No hosted account”. Read the project documentation for the complete scope.
The project provides a local client configuration using mcp-n8n. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
The example declares N8N_BASE_URL, N8N_API_KEY, N8N_TOOLSETS. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"n8n": {
"command": "mcp-n8n",
"env": {
"N8N_BASE_URL": "https://your-n8n-instance.com",
"N8N_API_KEY": "YOUR_N8N_API_KEY",
"N8N_TOOLSETS": "all"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| N8N_BASE_URL | Declared in the maintainer’s client configuration. | Check documentation |
| N8N_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
| N8N_TOOLSETS | Declared in the maintainer’s client configuration. | Optional |
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.
Enables AI assistants to interact with and manage n8n workflows through natural language.
Dify Workflows MCP exposes configured Dify applications as assistant tools through a local TypeScript server.
Integrate Linear project management with Claude for enhanced workflow automation.
Build and run agents and automations across hundreds of apps using natural language.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs