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MCP Server Python Demo
概述
内容详情
替代品
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 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 EnvironmentInstall Devbox and required dependencies
Launch in VSCodeReopen project in Dev Container
Start ServerRun the MCP server
Connect CopilotSet 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
1
What file formats are supported?Currently supports CSV and Parquet formats
2
Why isn't Copilot recognizing the server?Ensure: 1) Server is running 2) Copilot is in Agent mode 3) Correct server is selected
References
Original TutorialBuilding a Basic MCP Server with Python by Alex Merced
Devbox DocumentationDevbox installation and usage guide
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