Provides orchestration tools for n8n workflows, including smart upsert (create/update), execution diagnostics, workflow state management, community node installation, and automated workflow fixes.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@n8n Architect MCP Servershow me recent failed workflow executions and suggest fixes"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
n8n Architect - Quantum Core MCP
A Senior-Grade Master Control Process (MCP) for n8n and Docker orchestration, designed for high-fidelity agentic autonomous development.
🚀 Architecture: Expert Kernels
The system has been refactored from a flat 94-tool model to 10 High-Fidelity Expert Kernels. This reduces agent cognitive load while maintaining 100% of the underlying power.
Available Kernels
kernel_workflow_architect: Full workflow lifecycle (Deploy, Snapshots, Git).kernel_operational_surgeon: Live state manipulation & auto-healing.kernel_system_oracle: Predictive metrics, anomalies & reliability grades.kernel_infrastructure_guardian: Docker, security & resource optimization.kernel_semantic_intelligence: Documentation, diagrams & impact analysis.kernel_asset_factory: Custom node scaffolding & credentials.list_expert_skills: Dynamic discovery of 85+ underlying skills.
Strategic Protocols
system_war_room_report: Strategic system overview.protocol_execute_sdlc: Automated Audit/Security/Optimization loop.shadow_simulation_patch: Risk-free fix simulation.
🛠️ Setup & Usage
1. Requirements
Python 3.10+
n8n instance with API enabled
Docker Desktop (local)
2. Environment Configuration
Create a .env file with:
3. Launching
4. Verification
Run the unified verification suite:
🧠 Design Philosophy
Built on the "Jorge Aguirre" Protocol, prioritizing Robustness, Security, and Clean-Code through iterative AUDIT phases before any production deployment.