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N8N Workflow Summarizer

MCP (Model Context Protocol) Server. Transforms complex n8n workflow JSON files into clear markdown summaries, extracting nodes, connections, and functionality while generating conceptual Python code that replicates the workflow's logic.

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Jan 11, 2026

N8N Workflow Summarizer MCP Tool

An MCP tool that analyzes and summarizes n8n workflows for Claude.

Overview

This tool simplifies n8n workflow JSON files into clear, concise summaries. It extracts key information about nodes, connections, and functionality to help Claude understand complex workflows.

Features

  • Analyzes n8n workflow JSON files
  • Extracts node counts and types
  • Identifies connections between nodes
  • Produces markdown summaries
  • Compatible with Model Context Protocol (MCP)

Installation

Follow these steps to install the N8N Workflow Summarizer MCP tool:

# Clone the repository
git clone https://github.com/gblack686/n8n-workflow-summarizer-mcp.git
cd n8n-workflow-summarizer-mcp

# Set up your OpenAI API key
export OPENAI_API_KEY=your_api_key_here

# Install dependencies
pip install -r requirements.txt

# Install as MCP tool
fastmcp install workflow_summarizer_mcp.py --name "N8N Workflow Summarizer"

Usage

Check the example_usage.py file for a complete example of how to use this tool.

import asyncio
from workflow_summarizer_mcp import summarize_workflow

async def main():
    # Specify your workflow JSON file
    workflow_file = "example_workflow.json"
    
    # Summarize the workflow using a specific model
    summary = await summarize_workflow(workflow_file, model="gpt-4o")
    
    print(summary)

if __name__ == "__main__":
    asyncio.run(main())

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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