Bridging the gap between local data privacy and powerful Large Language Models using the Model Context Protocol (MCP).
Project Overview#
This initiative focuses on the practical application of Agentic AI — specifically, integrating LLMs with local tools and data without compromising privacy. I have worked extensively with custom MCP servers to allow models like DeepSeek and Llama 3 to interact with:
- Local file systems
- Self-hosted databases
- Internal APIs
- Home automation systems
Technical Integration#
The architecture utilizes n8n for autonomous workflows and standardized MCP servers for tool definitions. This allows for a robust, local-first AI ecosystem that can handle complex tasks while keeping sensitive data on-premise.