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title: Invoice RAG with MCP
emoji: 📄
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.33.1
app_file: app.py
tags:
- Agents-MCP-Hackathon
- mcp-server-track
pinned: false
license: mit
---
# 📄 Invoice RAG System with MCP Integration
An intelligent system for processing and querying invoice data using RAG (Retrieval Augmented Generation) with MCP (Model Context Protocol) support.
## DEMO
[DemoVideo](https://drive.google.com/file/d/1R6LG7qwtsaHLWZMv02NeJK_cqXaa8e-n/view?usp=sharing)
## 🚀 Features
- **PDF Invoice Processing**: Extract and analyze invoice data
- **RAG System**: Intelligent document retrieval and question answering
- **Multiple LLM Support**: Groq integration with various models
- **MCP Integration**: Expose tools via Model Context Protocol
- **Interactive UI**: Clean Gradio interface
## 🔧 Setup
1. **Set API Keys**: Add your `GROQ_API_KEY` in the Space settings
2. **Upload Invoices**: Use the training tab to process your PDFs
3. **Query Data**: Ask questions about your invoices
4. **MCP Tools**: Access structured data extraction tools
## 📝 Usage
1. **Train**: Upload invoice PDFs to train the RAG system
2. **Query**: Ask natural language questions about your invoices
3. **Extract**: Use MCP tools for structured data extraction
## 🔑 Required Environment Variables
- `GROQ_API_KEY`: Your Groq API key for LLM access
## 🛠️ MCP Integration
The system exposes these MCP tools:
- `query_invoice_info`: Extract information from invoices
- `get_invoice_summary`: Get summary of processed invoices
- `extract_specific_field`: Extract specific fields
- `list_available_invoices`: List available invoice sources |