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mcp-ollama-code-analyzer

by sikienzl
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Python
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🚀 MCP Ollama Code Analyzer

A self-hosted, privacy-focused alternative to GitHub Copilot. Uses Ollama (local LLMs) with MCP servers in Docker for real-time code analysis, refactoring, and optimization. Requires a CUDA-capable GPU for optimal performance.

GitHub Stars License Docker Pulls

📌 Features

✅ Local AI-powered code analysis (no cloud costs!) ✅ Dockerized MCP server (easy setup) ✅ VS Code integration (Continue/Roo) ✅ CUDA acceleration (for optimal performance) ✅ Supports multiple Ollama models (e.g., llama3, codellama) ✅ Real-time code improvements (refactoring, bug fixes, optimizations)

Related MCP server: LocalNest MCP

🛠️ Requirements

  • Docker & Docker Compose

  • NVIDIA Container Toolkit (for CUDA acceleration)

  • Ollama (locally installed)

  • CUDA-capable GPU (e.g., NVIDIA RTX 30xx/40xx, A100, etc.)

  • VS Code with Continue or Roo

🚀 Quick Start

1. Clone the repository

git clone https://github.com/sikienzl/mcp-ollama-code-analyzer.git
cd mcp-ollama-code-analyzer

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