Agentic Multi-AI Toolkit

Organizes AI functionality into specialized agents (OpenAI, Ollama, and File agents) through a centralized tool registry, enabling hybrid workflows that combine cloud and local AI capabilities with file operations.

This MCP server implements a pure agentic architecture that organizes functionality into specialized agents (OpenAI, Ollama, and File agents) managed through a centralized tool registry, enabling AI assistants to access both cloud and local AI capabilities alongside comprehensive file operations. Built with Python using asyncio and the Model Context Protocol specification, it provides 14 tools including OpenAI GPT integration for advanced chat and analysis, local Ollama model support for privacy-focused AI operations, and robust file management with read/write/search/directory operations. The implementation features automatic agent registration with availability checking, tool routing through the registry system, stdio transport for Claude Desktop integration, and fallback mechanisms between AI providers, making it valuable for hybrid AI workflows that require both cloud and local model access, file-based data processing, and building AI assistants that need flexible, modular tool access without vendor lock-in.