Chatbot for document processing: file saving, MCP analy

This automation workflow enables AI-powered document processing via chat. Files are saved locally, processed through an external MCP service via SSE, and analyzed by a GPT-4o-mini-powered agent to generate contextual responses. Ideal for professionals who need fast, automated parsing of PDFs, spreadsheets, and scanned documents without manual input.

## Who it´s for
- Specialists processing documents with AI
- Developers integrating MCP tools with chat interfaces
- Teams automating real-time PDF/document analysis
- Users requiring local file storage and AI processing

## What the automation does
- Receives chat messages and file uploads
- Saves each uploaded file to the local file system
- Sends file paths one by one to a custom MCP service via SSE for data extraction
- Feeds extracted content into a LangChain agent powered by GPT-4o-mini
- Generates context-aware responses based on user queries
- Sends results back to the chat interface

## What´s included
- Ready-to-use n8n workflow
- Trigger logic for message reception and file upload
- Integrations with OpenAI, MCP Client (SSE), and Local File System
- Basic text guide for setup and adaptation

## Requirements for setup
- n8n instance with local file access
- OpenAI API key
- Access to an MCP service supporting SSE
- Connected chat interface linked to n8n

## Benefits and outcomes
- Faster document processing through automated parsing
- Reduced manual workload for contracts, reports, and scans
- Secure local storage of sensitive files
- Customizable integration with domain-specific MCP services
- Scalable architecture via n8n and LangChain
- Support for multiple formats (PDF, Excel, images)

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.