Mcp_server_client_assessment

What is Mcp_server_client_assessment?

Mcp_server_client_assessment is an MCP-based client-server system where a client sends a query, the server processes it using Ollama LLM, generates a system command, executes it, and returns the output. It uses FastAPI, FastMCP, aiohttp, and subprocess for command execution.

How to use Mcp_server_client_assessment?

Prerequisites: Python 3.8+, Pip, Ollama installed and running, MCP Python SDK. Clone the repository, install dependencies with pip install -r requirements.txt, start the server with python server.py, then run the client with python client.py.

Key features of Mcp_server_client_assessment

• Client sends queries, server processes via Ollama LLM
• Generates and executes system commands automatically
• Returns command output to the client
• Built with FastAPI, FastMCP, and aiohttp
• Uses subprocess for command execution

Use cases of Mcp_server_client_assessment

• Convert natural language requests into executable system commands
• Automate system administration tasks via a client-server interface
• Enable remote command generation and execution through MCP protocol

FAQ from Mcp_server_client_assessment

What are the prerequisites to run this system?

Python 3.8+, Pip, Ollama installed and running, and the MCP Python SDK are required.

How do I install and run the server?

Clone the repository, run pip install -r requirements.txt, then start the server with python server.py.

How do I run the client after starting the server?

Execute python client.py in the same repository directory.

What transport or protocol does the server use?

The server uses FastAPI and FastMCP, communicating over HTTP (implied by FastAPI) with the MCP protocol.

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