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sikienzl

mcp-ollama-code-analyzer

by sikienzl
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Python
Local

šŸš€ 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

šŸ“Œ Features

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

Related MCP server: LocalNest MCP

šŸ› ļø 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

šŸš€ 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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