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MCP Server Python Demo
What is MCP Server?
The Model Context Protocol (MCP) Server allows AI assistants like GitHub Copilot to interact with data files (CSV, Parquet) through natural language queries. It processes requests like data summarization or row counting.How to Use?
1. Run the server in VSCode 2. Connect via Copilot in Agent mode 3. Ask questions about your data filesUse Cases
Ideal for quick data exploration without writing code. Example scenarios: - Analyzing sample datasets - Verifying data file contents - Getting quick statisticsKey Features
File Processing
Reads and analyzes CSV/Parquet files through natural language commands
VSCode Integration
Seamless setup within VSCode development containers
Copilot Compatibility
Works with GitHub Copilot in Agent mode for intelligent responses
Advantages
No coding required for basic data queries
Quick setup using Devbox containers
Natural language interface lowers learning curve
Limitations
Currently supports only CSV and Parquet formats
Requires specific VSCode setup
Limited to demonstration purposes
Setup Guide
Prepare Environment
Install Devbox and required dependencies
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Launch in VSCode
Reopen project in Dev Container
Start Server
Run the MCP server
Connect Copilot
Set Copilot to Agent mode and select mix_server
Example Queries
Data Summary
Get overview of CSV file contents
Row Counting
Check number of records in a file
Frequently Asked Questions
What file formats are supported?
Why isn't Copilot recognizing the server?
References
Original Tutorial
Building a Basic MCP Server with Python by Alex Merced
Devbox Documentation
Devbox installation and usage guide
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