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inventer-dev/mcp-internet-speed-test

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The MCP Internet Speed Test is a specialized Model Context Protocol (MCP) server that enables AI models and agents to perform internet speed measurements.

概要

An implementation of a Model Context Protocol (MCP) for internet speed testing. It allows AI models and agents to measure, analyze, and report network performance metrics through a standardized interface. https://pypi.org/project/mcp-internet-speed-test/ The Model Context Protocol (MCP) provides a standardized way for Large Language Models (LLMs) to interact with external tools and data sources. Think of it as the "USB-C for AI applications" - a common interface that allows AI systems to access real-world capabilities and information. - : Uses SpeedOf.

README

以下は原文 README の抜粋です。原文を見る。

MCP Internet Speed Test

An implementation of a Model Context Protocol (MCP) for internet speed testing. It allows AI models and agents to measure, analyze, and report network performance metrics through a standardized interface.

📦 Available on PyPI: https://pypi.org/project/mcp-internet-speed-test/

🚀 Quick Start:

pip install mcp-internet-speed-test
mcp-internet-speed-test

What is MCP?

The Model Context Protocol (MCP) provides a standardized way for Large Language Models (LLMs) to interact with external tools and data sources. Think of it as the “USB-C for AI applications” - a common interface that allows AI systems to access real-world capabilities and information.

Features

  • Smart Incremental Testing: Uses SpeedOf.Me methodology with 8-second threshold for optimal accuracy
  • Download Speed Testing: Measures bandwidth using files from 128KB to 128MB from GitHub repository (Git LFS)
  • Upload Speed Testing: Tests upload bandwidth using streaming data from 128KB to 128MB
  • Latency Testing: Measures network latency using multiple samples, reports minimum value
  • Jitter Analysis: Calculates network stability using multiple latency samples (default: 5)
  • Multi-CDN Support: Detects and provides info for Fastly, Cloudflare, and AWS CloudFront
  • Geographic Location: Maps POP codes to physical locations (50+ locations worldwide)
  • Cache Analysis: Detects HIT/MISS status and cache headers
  • Server Metadata: Extracts detailed CDN headers including x-served-by, via, x-cache
  • Comprehensive Testing: Single function to run all tests with complete metrics

Installation

Prerequisites

  • Python 3.12 or higher (required for async support)
  • pip or uv package manager
# Install the package globally
pip install mcp-internet-speed-test

# Run the MCP server
mcp-internet-speed-test

Option 2: Install from PyPI with uv

# Install the package globally
uv add mcp-internet-speed-test

# Or run directly without installing
uvx mcp-internet-speed-test

Option 3: Using docker

# Build the Docker image
docker build -t mcp-internet-speed-test .

# Run the MCP server in a Docker container
GitHub で README 全文を見る

インストール

uvx mcp-internet-speed-test
MCP 初心者?mcpskill.org のガイドから始めましょう →

設定

{ "mcpServers": { "mcp-internet-speed-test": { "command": "mcp-internet-speed-test" } } }