Enables AI assistants to manage n8n automation workflows through natural language commands, including creating, executing, monitoring, and organizing workflows with full CRUD operations and execution management.
Enables AI-powered building, optimization, debugging, and management of n8n workflows directly from Claude. Features workflow analysis, execution monitoring, security audits, drift detection, and intelligent error debugging with best practices guidance.
Safe MCP server and CLI tool for testing, scoring, and inspecting n8n workflows. Features 19 tools for workflow testing, execution traces, tiered scoring, and a built-in node catalog with 800+ node types. Designed with safety-first approach: no credential management, no secrets lifecycle, no auto-fix loops.
Enables users to create, manage, and monitor n8n workflows through natural language using AI interfaces like Claude and Cursor. It supports multi-instance environments and provides tools for workflow lifecycle management, execution monitoring, and tag organization.
A Model Context Protocol (MCP) server that generates production-ready n8n workflows from natural language prompts. Transform simple descriptions into fully validated, deployable automation workflows using AI-powered code generation.
MCP server for n8n workflow automation, enabling management of workflows, executions, credentials, tags, users, and webhooks via an MCP-compatible client.
An MCP server providing AI assistants with comprehensive access to n8n node documentation, properties, and operations, enabling deep knowledge about n8n's 2,063 workflow automation nodes.
Enables management of n8n workflows, executions, credentials, tags, and variables via MCP tools. Supports stdio, Claude Code, and Claude Web with optional Authentik OAuth.
Enables full workflow automation management in n8n through 40+ tools covering workflows, executions, credentials, tags, variables, projects, users, and source control operations.
An MCP server enabling secure interaction with n8n workflows, executions, and settings via the Model Context Protocol, designed for integration with Large Language Models (LLMs).
Enables AI agents to create, retrieve, update, and manage n8n workflows through the n8n API. Supports full workflow lifecycle management including activation, deactivation, and deletion operations.