Builds custom Model Context Protocol (MCP)-based agents that integrate with large language models (LLMs) to perform intelligent and secure file system operations.
Files Assistant provides a robust template for developing intelligent agents powered by Model Context Protocol (MCP) and integrated with various large language models through an OpenAI-compatible API. This project serves as a foundational toolkit for creating agents that can understand natural language queries and execute tasks using predefined tools, with a practical demonstration focused on secure and efficient file system management. It empowers developers to build custom LLM-driven solutions for automating complex tasks, ensuring safety with restricted directories and authentication while offering extensive customization for new tools, external API integrations, and LLM providers.