File Analysis Mcp
What is File Analysis Mcp
File-Analysis-MCP is a smart tool designed to read CSV and Excel files, extract insights, and generate professional summary reports that can be downloaded as PDFs.
Use cases
Use cases include analyzing sales data, generating reports for academic research, visualizing survey results, and summarizing financial data.
How to use
To use File-Analysis-MCP, clone the repository, set up a Python virtual environment, install required packages, add your Euri API key, and run the application using Streamlit.
Key features
Key features include the ability to upload CSV or Excel files, automatic data analysis, insights generation, visualizations and charts, and downloadable PDF summary reports.
Where to use
File-Analysis-MCP can be used in various fields such as data analysis, business intelligence, academic research, and any scenario where data insights are needed.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is File Analysis Mcp
File-Analysis-MCP is a smart tool designed to read CSV and Excel files, extract insights, and generate professional summary reports that can be downloaded as PDFs.
Use cases
Use cases include analyzing sales data, generating reports for academic research, visualizing survey results, and summarizing financial data.
How to use
To use File-Analysis-MCP, clone the repository, set up a Python virtual environment, install required packages, add your Euri API key, and run the application using Streamlit.
Key features
Key features include the ability to upload CSV or Excel files, automatic data analysis, insights generation, visualizations and charts, and downloadable PDF summary reports.
Where to use
File-Analysis-MCP can be used in various fields such as data analysis, business intelligence, academic research, and any scenario where data insights are needed.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
📁 File Analysis MCP Project
A smart and simple tool that reads any CSV or Excel file, extracts insights, and generates a professional summary report that can be downloaded as a PDF.
This project is powered by the Euri API KEY from Euron.one, thanks to the amazing platform developed by Sudhanshu Sir.
💡 Features
- 📤 Upload
.csvor.xlsxfiles - 🔍 Automatic data analysis and insights generation
- 📊 Visualizations and charts
- 📄 Downloadable PDF summary report
- 🌐 Simple and interactive web interface using Streamlit
⚙️ Getting Started
Follow these steps to set up and run the project on your local machine:
✅ Step 1: Clone the Repository
git clone https://github.com/yourusername/file-analysis-mcp.git
cd file-analysis-mcp
🐍 Step 2: Create and Activate Python Virtual Environment
# Create a virtual environment named venv
python -m venv venv
# Activate it
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate
📦 Step 3: Install Required Packages
pip install -r requirements.txt
🔑 Step 4: Add Euri API Key
Get your API key from https://euron.one
Add it to your code file or manage it via .env if you prefer keeping it secure
🚀 Step 5: Run the Application
streamlit run app.py
Upload your CSV or Excel file
The tool parses the file and extracts useful insights
It generates charts, stats, and summaries
You can download the full summary as a PDF
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
