VSCode Python

About

This project implements a lightweight and highly optimized Model Context Protocol (MCP) server using Python, designed to integrate AI models like Claude with your local development environment. It transforms AI chatbots into powerful 'developer agents' by allowing them to see, query, and modify local code, databases, and files. The server runs locally, ensuring private data context without cloud uploads, and automates repetitive tasks like log analysis, file reorganization, and database querying, significantly enhancing workflow efficiency and reducing token overhead.

Key Features

• Reduced Token Overhead for faster responses and lower costs by querying specific data.
• Asynchronous Execution to handle multiple data requests simultaneously without freezing.
• Custom Tool Mapping to wrap complex Python libraries into simple, instantly callable tools for AI.
• Private Data Context enabling AI interaction with local documents and internal company data.
• LRU Caching for intelligent request caching, improving performance by 2-3x.
• 3 GitHub stars

Use Cases

• Enable AI agents to read, analyze, write, and modify local code files directly within your project.
• Automate repetitive development tasks such as log analysis, local file reorganization, or database querying.
• Provide AI models with context from private documents or internal company data securely on your local machine.