Files Assistant
Builds custom Model Context Protocol (MCP)-based agents that integrate with large language models (LLMs) to perform intelligent and secure file system operations.
About
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.
Key Features
- JSON-RPC 2.0 MCP server for secure tool execution
- Robust security for file operations including working directory restrictions and authentication
- Multi-LLM compatibility with OpenAI-style APIs (DeepSeek, OpenAI, Ollama)
- Modular design for easy extension with custom tools and external integrations
- 0 GitHub stars
- Intelligent file management driven by LLMs
Use Cases
- Developing custom AI agents that securely interact with local file systems within defined boundaries
- Automating complex file system tasks like searching, organizing, and text replacement through natural language commands
- Integrating external APIs and custom logic into LLM-driven workflows for enhanced agent capabilities
