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n8n_dev_mcp

A sophisticated orchestration layer for n8n and Docker that uses 'expert kernels' to manage workflows, infrastructure, and automated system healing. It provides high-fidelity agentic control over automation environments through strategic protocols and predictive diagnostics.

Tools
10
Updated
Jan 6, 2026
Validated
Jan 11, 2026

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

  1. kernel_workflow_architect: Full workflow lifecycle (Deploy, Snapshots, Git).
  2. kernel_operational_surgeon: Live state manipulation & auto-healing.
  3. kernel_system_oracle: Predictive metrics, anomalies & reliability grades.
  4. kernel_infrastructure_guardian: Docker, security & resource optimization.
  5. kernel_semantic_intelligence: Documentation, diagrams & impact analysis.
  6. kernel_asset_factory: Custom node scaffolding & credentials.
  7. 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:

N8N_BASE_URL=http://localhost:5678
N8N_API_KEY=your_api_key
ENABLE_DOCKER_TOOLS=True
ENABLE_N8N_TOOLS=True

3. Launching

# Production (SSE via FastAPI)
python run.py

# CLI / Debug Mode
python run_stdio.py

4. Verification

Run the unified verification suite:

python verify_system.py

🧠 Design Philosophy

Built on the "Jorge Aguirre" Protocol, prioritizing Robustness, Security, and Clean-Code through iterative AUDIT phases before any production deployment.

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