SAGE Universal AI Assistant

SAGE (Simple AI Guidance Engine) MCP server by David Strejc that provides a universal AI assistant for development tasks through eight specialized modes (chat, analyze, review, debug, plan, test, refactor, think) with intelligent model selection across multiple providers (OpenAI, Anthropic, Google Gemini, OpenRouter, and local Ollama). The implementation features automatic model selection based on task complexity and context size, conversation memory with thread continuity, flexible file handling modes (embedded, summary, reference), and comprehensive model restrictions for cost control. Built with Python and designed as a drop-in replacement for zen-mcp-server, it serves developers who need context-aware AI assistance that automatically chooses the optimal model for each task while maintaining conversation history and supporting both CLI and MCP server interfaces.

Source

Repository: https://github.com/david-strejc/sage-mcp