MCP System Tools Server
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
MCP System Tools Server
This is a production-ready Model Context Protocol (MCP) server built in Python. It provides custom tools that AI Agents (like Claude or custom LangChain/LlamaIndex bots) can connect to and use to interact with the host system.
๐ ๏ธ Included Tools
get_system_stats: Retrieves current live system statistics (CPU usage, Memory usage, Available Memory).calculate_expression: A safe math evaluator that performs basic arithmetic operations.
Related MCP server: mcp-tespit
๐ How to Run (Docker - Recommended)
If you have Docker installed, you can spin up the entire isolated environment with one command:
docker-compose up --build -dThe Server-Sent Events (SSE) endpoint will be available at: http://localhost:8000/sse
๐ป How to Run (Local Python)
If you don't have Docker, you can run the server directly using Python.
Install the requirements:
pip install -r requirements.txtRun the server:
python mcp_server.pyThe server will boot up and listen for connections on http://127.0.0.1:8000/sse.
๐งช Testing the Server
You can quickly test your tools using the official MCP Inspector. Run the following command in a new terminal:
npx -y @modelcontextprotocol/inspectorSelect SSE as the transport.
Enter
http://127.0.0.1:8000/sseas the URL and click Connect.
Alternatively, run the included test_client.py script:
python test_client.py๐ค Connecting to Claude Desktop
You can easily give Claude Desktop the ability to use these tools. Add this configuration to your Claude config file (claude_desktop_config.json):
{
"mcpServers": {
"system-tools": {
"command": "python",
"args": [
"path/to/your/mcp_server.py"
]
}
}
}This server cannot be deployed
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