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mcp-local-telemetry

CI A lightweight Model Context Protocol server that exposes local system telemetry (CPU, RAM, Disk, top processes) to MCP-aware AI agents — Claude Code, Cursor, ChatGPT Desktop, and any other MCP client.

Written as a single-file, dependency-light Python script. Ships in under 200 lines and speaks JSON-RPC 2.0 over stdio.

Why

AI coding agents are increasingly asked to reason about the machine they are running on — "is it safe to run this build?", "what's eating CPU right now?". This server gives them a structured, protocol-standard way to ask.

Tools

Tool Description
get_system_metrics CPU %, memory %, disk %, load average, boot time.
get_top_processes Top-N processes by CPU usage.

Install

git clone https://github.com/Jamie643/mcp-local-telemetry.git
cd mcp-local-telemetry
python -m venv .venv && source .venv/bin/activate   # Windows: .venv\Scripts\activate
pip install -e .

Metadata

Release files for mcp-local-telemetry 0.1.1

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Source distribution for mcp-local-telemetry 0.1.1
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mcp_local_telemetry-0.1.1.tar.gz 5.0 kB Details

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Table of built distributions (wheels) for mcp-local-telemetry 0.1.1
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mcp_local_telemetry-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 10.8 kB

Release files / mcp_local_telemetry-0.1.1.tar.gz

Download URL mcp_local_telemetry-0.1.1.tar.gz
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Release files / mcp_local_telemetry-0.1.1-py3-none-any.whl

Download URL mcp_local_telemetry-0.1.1-py3-none-any.whl
Size 5.8 kB
Tags Python 3
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Uploaded via twine/7.0.0 CPython/3.13.14

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0.1.1 This release

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