MCP Server Python Demo

MCP Server Python Demo

This is a demonstration project of an MCP server, built based on Python, used to test the interaction function with Copilot in VSCode.

Developer tools Research and data #MCP Service #Python Development #VSCode Testing #Copilot Integration .Python

rating : 2 points

downloads : 9

update time : 2025-04-28

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 files

Use Cases

Ideal for quick data exploration without writing code. Example scenarios: - Analyzing sample datasets - Verifying data file contents - Getting quick statistics

Key Features

File ProcessingReads and analyzes CSV/Parquet files through natural language commands

VSCode IntegrationSeamless setup within VSCode development containers

Copilot CompatibilityWorks with GitHub Copilot in Agent mode for intelligent responses

Pros and Cons

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

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 SummaryGet overview of CSV file contents

Row CountingCheck 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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