Is Files Assistant compatible with various Large Language Models?

Yes, it offers multi-LLM compatibility via OpenAI-style APIs, including DeepSeek, OpenAI, and Ollama, through a flexible and configurable provider system.

Can I customize or extend Files Assistant with my own functionality?

Absolutely. Its modular design allows easy extension with custom tools, external API integrations, and even new LLM providers, making it highly adaptable to specific needs.

How does Files Assistant ensure secure file operations?

Security is paramount, featuring strict working directory restrictions, required MCP server authentication, and disabled file deletion by default to prevent unintended or unauthorized modifications.

What file management tasks can Files Assistant automate?

It can analyze logs, search files by content or name, organize files, perform bulk text replacement, and securely delete files, all directed by LLMs interpreting natural language input.

Files Assistant

Name: Files Assistant
Author: Krusty84

byKrusty84

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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.

Características Principales

01JSON-RPC 2.0 MCP server for secure tool execution

02Robust security for file operations including working directory restrictions and authentication

03Multi-LLM compatibility with OpenAI-style APIs (DeepSeek, OpenAI, Ollama)

04Modular design for easy extension with custom tools and external integrations

050 GitHub stars

06Intelligent file management driven by LLMs

Casos de Uso

01Developing custom AI agents that securely interact with local file systems within defined boundaries

02Automating complex file system tasks like searching, organizing, and text replacement through natural language commands

03Integrating external APIs and custom logic into LLM-driven workflows for enhanced agent capabilities