Code Analysis — Git skill for Claude Code

n8n Workflow Vectorization and Knowledge Graph

This project provides tools for analyzing, categorizing, and storing n8n workflows across multiple database types:

1. Vector Database (QDRANT): For semantic search and similarity matching
2. Graph Database (Neo4j): For relationship mapping and ontological representation
3. Relational Database (Supabase): For structured metadata storage

MCP Integrations

This project now includes Model Context Protocol (MCP) integrations for:

1. n8n: Import and manage workflows directly with n8n's API
2. QDRANT: Vector search and similarity matching for workflows
3. Supabase: Structured data storage for workflow metadata
4. Workflow Validation: Validate workflows against best practices

Project Structure

• workflow-parser.js: Processes n8n workflow JSON files, extracts metadata, and generates descriptions
• vectorize-workflows.js: Demonstrates how to use the QDRANT MCP server to vectorize workflows
• n8n-mcp-client.js: Client for interacting with the n8n MCP server
• n8n-workflow-validator.js: Validator for n8n workflows against best practices
• validate-workflow.js: CLI tool for validating workflows
• import-to-n8n.js: Tool for importing workflows to n8n
• processed-workflows/: Contains the processed workflow data with enriched metadata
• workflows/: Directory containing original n8n workflow files
• MCP Servers located in /Users/kinglerbercy/MCP/:

Setup and Installation

1. Process Workflows

The `workflow-parser.js` script processes n8n workflow files, extracting metadata and generating descriptions:

npm run parse
# or
node workflow-parser.js

This creates enriched workflow data in the `processed-workflows/` directory.

2. Configure Environment Variables

Copy the example environment file and update with your settings:

cp .env.example .env
# Edit .env with your configuration

3. MCP Integrations

QDRANT MCP Integration

...