Busca semântica e memória persistente para projetos Django (e qualquer projeto Python), integrado ao VSCode e Antigravity via protocolo MCP — reduzindo o uso de contexto de IA em até 98%. Inspirado no th0th, reescrito em Go com foco em projetos Django e sem dependência de runtime (binário único).

Minimal Example Implementation of a MCP Server / Client with Python and Pip. This example is tested in VSCode and Windows and both server and client are debuggable.

This project implements a lightweight and highly optimized "Model Context Protocol (MCP)" server using Python.

MCP server bringing ggplot2's grammar of graphics to Python via plotnine. Create publication-quality statistical visualizations through natural language with AI assisted IDEs like Claude-Code, Cursor and VSCode

MCP_Server using python sdk and with copilot in vscode.

Production-ready MCP server for VSCode Python notebooks with full local compatibility. Provides comprehensive notebook management including cell operations, search/replace, export functionality, and security-first design.

A detailed hands-on tutorial for learning Model Context Protocol (MCP) server development with Python. Includes working examples, VSCode debugging setup, tests, and a step-by-step guide covering everything from basic architecture to deployment. Perfect for anyone wanting to build AI-integrated tools and to understand how Claude extensions work.

A minimum example of VSCode extension with a local python MCP server

MCP server bridging Claude Code to Language Servers (TypeScript, Python) via vscode-jsonrpc — Windows-compatible

This is a demo of an MCP server using Python, intended to be tested with vscode Copilot in Agent mode

MCP code execution tool in Rust. Multi-language support (JS/TS, Go, Rust, Python, C/C++, bash). Works with Claude Code, Cursor, Copilot, VSCode.

Created a Python-based Model Context Protocol (MCP) server on Kali Linux (hosted on VMware) to execute Kali commands remotely via VSCode Co-Pilot. VSCode runs on the Windows 11 host, enabling seamless communication and command execution between host and VM.

这是我自己基于Python开发的一些MCP小工具，推荐使用LobeChat Desktop或VScode进行二次开发

Demonstrates using Dev Containers in VSCode with Std I/O to interface with a local LLM. Enables fast setup, isolated Python environments, and efficient cloning. The MCP server runs locally, supporting rapid iteration and lightweight experimentation.