Docs & Usage Guide

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 100MB from GitHub repository
Upload Speed Testing: Tests upload bandwidth using generated data from 128KB to 100MB
Latency Testing: Measures network latency with detailed server location information
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

Option 1: Install from PyPI with pip (Recommended)

# 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
docker run -it --rm -v $(pwd):/app -w /app mcp-internet-speed-test

Option 4: Development/Local Installation

If you want to contribute or modify the code:

# Clone the repository
git clone https://github.com/inventer-dev/mcp-internet-speed-test.git
cd mcp-internet-speed-test

# Install in development mode
pip install -e .

# Or using uv
uv sync
uv run python -m mcp_internet_speed_test.main

Dependencies

The package automatically installs these dependencies:

mcp[cli]>=1.6.0: MCP server framework with CLI integration
httpx>=0.27.0: Async HTTP client for speed tests

Configuration

To use this MCP server with Claude Desktop or other MCP clients, add it to your MCP configuration file.

Claude Desktop Configuration

Edit your Claude Desktop MCP configuration file:

Option 1: Using pip installed package (Recommended)

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

Option 2: Using uvx

{
    "mcpServers": {
        "mcp-internet-speed-test": {
            "command": "uvx",
            "args": ["mcp-internet-speed-test"]
        }
    }
}

API Tools

The MCP Internet Speed Test provides the following tools:

Testing Functions

measure_download_speed: Measures download bandwidth (in Mbps) with server location info
measure_upload_speed: Measures upload bandwidth (in Mbps) with server location info
measure_latency: Measures network latency (in ms) with server location info
measure_jitter: Measures network jitter by analyzing latency variations with server info
get_server_info: Get detailed CDN server information for any URL without running speed tests
run_complete_test: Comprehensive test with all metrics and server metadata

CDN Server Detection

This speed test now provides detailed information about the CDN servers serving your tests:

What You Get

CDN Provider: Identifies if you're connecting to Fastly, Cloudflare, or Amazon CloudFront
Geographic Location: Shows the physical location of the server (e.g., "Mexico City, Mexico")
POP Code: Three-letter code identifying the Point of Presence (e.g., "MEX", "QRO", "DFW")
Cache Status: Whether content is served from cache (HIT) or fetched from origin (MISS)
Server Headers: Full HTTP headers including x-served-by, via, and x-cache

Technical Implementation

Smart Testing Methodology

Incremental Approach: Starts with small files (128KB) and progressively increases
Time-Based Optimization: Uses 8-second base threshold + 4-second additional buffer
Accuracy Focus: Selects optimal file size that provides reliable measurements
Multi-Provider Support: Tests against geographically distributed endpoints

CDN Detection Capabilities

Fastly: Detects POP codes and maps to 50+ global locations
Cloudflare: Identifies data centers and geographic regions
AWS CloudFront: Recognizes edge locations across continents
Header Analysis: Parses x-served-by, via, x-cache, and custom CDN headers

Why This Matters

Network Diagnostics: Understand which server is actually serving your tests
Performance Analysis: Correlate speed results with server proximity
CDN Optimization: Identify if your ISP's routing is optimal
Geographic Awareness: Know if tests are running from your expected region
Troubleshooting: Identify routing issues and CDN misconfigurations

Example Server Info Output

{
  "cdn_provider": "Fastly",
  "pop_code": "MEX",
  "pop_location": "Mexico City, Mexico",
  "served_by": "cache-mex4329-MEX",
  "cache_status": "HIT",
  "x_cache": "HIT, HIT"
}

Technical Configuration

Default Test Files Repository

GitHub Repository: inventer-dev/speed-test-files
Branch: main
File Sizes: 128KB, 256KB, 512KB, 1MB, 2MB, 5MB, 10MB, 20MB, 40MB, 50MB, 100MB

Upload Endpoints Priority

Cloudflare Workers (httpi.dev) - Global distribution, highest priority
HTTPBin (httpbin.org) - AWS-based, secondary endpoint

Supported CDN Locations (150+ POPs)

Fastly POPs: MEX, QRO, DFW, LAX, NYC, MIA, LHR, FRA, AMS, CDG, NRT, SIN, SYD, GRU, SCL, BOG, MAD, MIL...

Cloudflare Centers: DFW, LAX, SJC, SEA, ORD, MCI, IAD, ATL, MIA, YYZ, LHR, FRA, AMS, CDG, ARN, STO...

AWS CloudFront: ATL, BOS, ORD, CMH, DFW, DEN, IAD, LAX, MIA, MSP, JFK, SEA, SJC, AMS, ATH, TXL...

Performance Thresholds

Base Test Duration: 8.0 seconds
Additional Buffer: 4.0 seconds
Maximum File Size: Configurable (default: 100MB)
Jitter Samples: 5 measurements (configurable)

Troubleshooting

Common Issues

MCP Server Connection

Path Configuration: Ensure absolute path is used in MCP configuration
Directory Permissions: Verify read/execute permissions for the project directory
Python Version: Requires Python 3.12+ with async support
Dependencies: Install fastmcp and httpx packages

Speed Test Issues

GitHub Repository Access: Ensure inventer-dev/speed-test-files is accessible
Firewall/Proxy: Check if corporate firewalls block test endpoints
CDN Routing: Some ISPs may route differently to CDNs
Network Stability: Jitter tests require stable connections

Performance Considerations

File Size Limits: Large files (>50MB) may timeout on slow connections
Upload Endpoints: If primary endpoint fails, fallback is automatic
Geographic Accuracy: POP detection depends on CDN header consistency

Development

Project Structure

mcp-internet-speed-test/
├── mcp_internet_speed_test/  # Main package directory
│   ├── __init__.py      # Package initialization
│   └── main.py          # MCP server implementation
├── README.md           # This documentation
├── Dockerfile          # Container configuration
└── pyproject.toml      # Python project configuration

Key Components

Configuration Constants

GITHUB_RAW_URL: Base URL for test files repository
UPLOAD_ENDPOINTS: Prioritized list of upload test endpoints
SIZE_PROGRESSION: Ordered list of file sizes for incremental testing
*_POP_LOCATIONS: Mappings of CDN codes to geographic locations

Core Functions

extract_server_info(): Parses HTTP headers to identify CDN providers
measure_*(): Individual test functions for different metrics
run_complete_test(): Orchestrates comprehensive testing suite

Configuration Customization

You can customize the following in mcp_internet_speed_test/main.py if you clone the repository:

# GitHub repository settings
GITHUB_USERNAME = "your-username"
GITHUB_REPO = "your-speed-test-files"
GITHUB_BRANCH = "main"

# Test duration thresholds
BASE_TEST_DURATION = 8.0  # seconds
ADDITIONAL_TEST_DURATION = 4.0  # seconds

# Default endpoints
DEFAULT_UPLOAD_URL = "your-upload-endpoint"
DEFAULT_LATENCY_URL = "your-latency-endpoint"

Contributing

This is an experimental project and contributions are welcome:

Issues: Report bugs or request features
Pull Requests: Submit code improvements
Documentation: Help improve this README
Testing: Test with different network conditions and CDNs

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

MCP Framework maintainers for standardizing AI tool interactions
The Model Context Protocol community for documentation and examples

Mcp Internet Speed Test