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by hamzabarak • Uncategorized
An MCP-based client-server system that processes client queries using Ollama LLM to generate and execute system commands.
Convert natural language queries into system commands automatically.
Execute system commands remotely and retrieve outputs.
That require integration of large language models with system-level operations.
This project implements a client-server architecture where the client sends queries to the server. The server uses the Ollama large language model to interpret the query, generate appropriate system commands, execute them, and return the output to the client. It leverages FastAPI, FastMCP, aiohttp, and subprocess for efficient communication and command execution, enabling automated system interactions via natural language queries.