[](https://mseep.ai/app/inventer-dev-mcp-internet-speed-test)
[](https://smithery.ai/server/@inventer-dev/mcp-internet-speed-test)
# 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:**
```bash
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](https://github.com/astral-sh/uv) package manager
### Option 1: Install from PyPI with pip (Recommended)
```bash
# 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
```bash
# Install the package globally
uv add mcp-internet-speed-test
# Or run directly without installing
uvx mcp-internet-speed-test
```
### Option 3: Using docker
```bash
# 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:
```bash
# 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)
```json
{
"mcpServers": {
"mcp-internet-speed-test": {
"command": "mcp-internet-speed-test"
}
}
}
```
#### Option 2: Using uvx
```json
{
"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
1. `measure_download_speed`: Measures download bandwidth (in Mbps) with server location info
2. `measure_upload_speed`: Measures upload bandwidth (in Mbps) with server location info
3. `measure_latency`: Measures network latency (in ms) with server location info
4. `measure_jitter`: Measures network jitter by analyzing latency variations with server info
5. `get_server_info`: Get detailed CDN server information for any URL without running speed tests
6. `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
```json
{
"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
1. **Cloudflare Workers** (httpi.dev) - Global distribution, highest priority
2. **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
1. **Path Configuration**: Ensure absolute path is used in MCP configuration
2. **Directory Permissions**: Verify read/execute permissions for the project directory
3. **Python Version**: Requires Python 3.12+ with async support
4. **Dependencies**: Install `fastmcp` and `httpx` packages
#### Speed Test Issues
1. **GitHub Repository Access**: Ensure `inventer-dev/speed-test-files` is accessible
2. **Firewall/Proxy**: Check if corporate firewalls block test endpoints
3. **CDN Routing**: Some ISPs may route differently to CDNs
4. **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:
```python
# 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:
1. **Issues**: Report bugs or request features
2. **Pull Requests**: Submit code improvements
3. **Documentation**: Help improve this README
4. **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
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"description": "[](https://mseep.ai/app/inventer-dev-mcp-internet-speed-test)\n\n[](https://smithery.ai/server/@inventer-dev/mcp-internet-speed-test)\n\n# MCP Internet Speed Test\n\nAn 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.\n\n**\ud83d\udce6 Available on PyPI:** https://pypi.org/project/mcp-internet-speed-test/\n\n**\ud83d\ude80 Quick Start:**\n```bash\npip install mcp-internet-speed-test\nmcp-internet-speed-test\n```\n\n## What is MCP?\n\nThe 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.\n\n## Features\n\n- **Smart Incremental Testing**: Uses SpeedOf.Me methodology with 8-second threshold for optimal accuracy\n- **Download Speed Testing**: Measures bandwidth using files from 128KB to 100MB from GitHub repository\n- **Upload Speed Testing**: Tests upload bandwidth using generated data from 128KB to 100MB\n- **Latency Testing**: Measures network latency with detailed server location information\n- **Jitter Analysis**: Calculates network stability using multiple latency samples (default: 5)\n- **Multi-CDN Support**: Detects and provides info for Fastly, Cloudflare, and AWS CloudFront\n- **Geographic Location**: Maps POP codes to physical locations (50+ locations worldwide)\n- **Cache Analysis**: Detects HIT/MISS status and cache headers\n- **Server Metadata**: Extracts detailed CDN headers including `x-served-by`, `via`, `x-cache`\n- **Comprehensive Testing**: Single function to run all tests with complete metrics\n\n## Installation\n\n### Prerequisites\n\n- Python 3.12 or higher (required for async support)\n- pip or [uv](https://github.com/astral-sh/uv) package manager\n\n### Option 1: Install from PyPI with pip (Recommended)\n\n```bash\n# Install the package globally\npip install mcp-internet-speed-test\n\n# Run the MCP server\nmcp-internet-speed-test\n```\n\n### Option 2: Install from PyPI with uv\n\n```bash\n# Install the package globally\nuv add mcp-internet-speed-test\n\n# Or run directly without installing\nuvx mcp-internet-speed-test\n```\n\n### Option 3: Using docker\n\n```bash\n# Build the Docker image\ndocker build -t mcp-internet-speed-test .\n\n# Run the MCP server in a Docker container\ndocker run -it --rm -v $(pwd):/app -w /app mcp-internet-speed-test\n```\n\n### Option 4: Development/Local Installation\n\nIf you want to contribute or modify the code:\n\n```bash\n# Clone the repository\ngit clone https://github.com/inventer-dev/mcp-internet-speed-test.git\ncd mcp-internet-speed-test\n\n# Install in development mode\npip install -e .\n\n# Or using uv\nuv sync\nuv run python -m mcp_internet_speed_test.main\n```\n\n### Dependencies\n\nThe package automatically installs these dependencies:\n- `mcp[cli]>=1.6.0`: MCP server framework with CLI integration\n- `httpx>=0.27.0`: Async HTTP client for speed tests\n\n\n## Configuration\n\nTo use this MCP server with Claude Desktop or other MCP clients, add it to your MCP configuration file.\n\n### Claude Desktop Configuration\n\nEdit your Claude Desktop MCP configuration file:\n\n#### Option 1: Using pip installed package (Recommended)\n\n```json\n{\n \"mcpServers\": {\n \"mcp-internet-speed-test\": {\n \"command\": \"mcp-internet-speed-test\"\n }\n }\n}\n```\n\n#### Option 2: Using uvx\n\n```json\n{\n \"mcpServers\": {\n \"mcp-internet-speed-test\": {\n \"command\": \"uvx\",\n \"args\": [\"mcp-internet-speed-test\"]\n }\n }\n}\n```\n\n## API Tools\n\nThe MCP Internet Speed Test provides the following tools:\n\n### Testing Functions\n1. `measure_download_speed`: Measures download bandwidth (in Mbps) with server location info\n2. `measure_upload_speed`: Measures upload bandwidth (in Mbps) with server location info\n3. `measure_latency`: Measures network latency (in ms) with server location info\n4. `measure_jitter`: Measures network jitter by analyzing latency variations with server info\n5. `get_server_info`: Get detailed CDN server information for any URL without running speed tests\n6. `run_complete_test`: Comprehensive test with all metrics and server metadata\n\n## CDN Server Detection\n\nThis speed test now provides detailed information about the CDN servers serving your tests:\n\n### What You Get\n- **CDN Provider**: Identifies if you're connecting to Fastly, Cloudflare, or Amazon CloudFront\n- **Geographic Location**: Shows the physical location of the server (e.g., \"Mexico City, Mexico\")\n- **POP Code**: Three-letter code identifying the Point of Presence (e.g., \"MEX\", \"QRO\", \"DFW\")\n- **Cache Status**: Whether content is served from cache (HIT) or fetched from origin (MISS)\n- **Server Headers**: Full HTTP headers including `x-served-by`, `via`, and `x-cache`\n\n### Technical Implementation\n\n#### Smart Testing Methodology\n- **Incremental Approach**: Starts with small files (128KB) and progressively increases\n- **Time-Based Optimization**: Uses 8-second base threshold + 4-second additional buffer\n- **Accuracy Focus**: Selects optimal file size that provides reliable measurements\n- **Multi-Provider Support**: Tests against geographically distributed endpoints\n\n#### CDN Detection Capabilities\n- **Fastly**: Detects POP codes and maps to 50+ global locations\n- **Cloudflare**: Identifies data centers and geographic regions\n- **AWS CloudFront**: Recognizes edge locations across continents\n- **Header Analysis**: Parses `x-served-by`, `via`, `x-cache`, and custom CDN headers\n\n### Why This Matters\n- **Network Diagnostics**: Understand which server is actually serving your tests\n- **Performance Analysis**: Correlate speed results with server proximity\n- **CDN Optimization**: Identify if your ISP's routing is optimal\n- **Geographic Awareness**: Know if tests are running from your expected region\n- **Troubleshooting**: Identify routing issues and CDN misconfigurations\n\n### Example Server Info Output\n```json\n{\n \"cdn_provider\": \"Fastly\",\n \"pop_code\": \"MEX\",\n \"pop_location\": \"Mexico City, Mexico\",\n \"served_by\": \"cache-mex4329-MEX\",\n \"cache_status\": \"HIT\",\n \"x_cache\": \"HIT, HIT\"\n}\n```\n\n### Technical Configuration\n\n#### Default Test Files Repository\n```\nGitHub Repository: inventer-dev/speed-test-files\nBranch: main\nFile Sizes: 128KB, 256KB, 512KB, 1MB, 2MB, 5MB, 10MB, 20MB, 40MB, 50MB, 100MB\n```\n\n#### Upload Endpoints Priority\n1. **Cloudflare Workers** (httpi.dev) - Global distribution, highest priority\n2. **HTTPBin** (httpbin.org) - AWS-based, secondary endpoint\n\n#### Supported CDN Locations (150+ POPs)\n\n**Fastly POPs**: MEX, QRO, DFW, LAX, NYC, MIA, LHR, FRA, AMS, CDG, NRT, SIN, SYD, GRU, SCL, BOG, MAD, MIL...\n\n**Cloudflare Centers**: DFW, LAX, SJC, SEA, ORD, MCI, IAD, ATL, MIA, YYZ, LHR, FRA, AMS, CDG, ARN, STO...\n\n**AWS CloudFront**: ATL, BOS, ORD, CMH, DFW, DEN, IAD, LAX, MIA, MSP, JFK, SEA, SJC, AMS, ATH, TXL...\n\n#### Performance Thresholds\n- **Base Test Duration**: 8.0 seconds\n- **Additional Buffer**: 4.0 seconds\n- **Maximum File Size**: Configurable (default: 100MB)\n- **Jitter Samples**: 5 measurements (configurable)\n\n## Troubleshooting\n\n### Common Issues\n\n#### MCP Server Connection\n1. **Path Configuration**: Ensure absolute path is used in MCP configuration\n2. **Directory Permissions**: Verify read/execute permissions for the project directory\n3. **Python Version**: Requires Python 3.12+ with async support\n4. **Dependencies**: Install `fastmcp` and `httpx` packages\n\n#### Speed Test Issues\n1. **GitHub Repository Access**: Ensure `inventer-dev/speed-test-files` is accessible\n2. **Firewall/Proxy**: Check if corporate firewalls block test endpoints\n3. **CDN Routing**: Some ISPs may route differently to CDNs\n4. **Network Stability**: Jitter tests require stable connections\n\n#### Performance Considerations\n- **File Size Limits**: Large files (>50MB) may timeout on slow connections\n- **Upload Endpoints**: If primary endpoint fails, fallback is automatic\n- **Geographic Accuracy**: POP detection depends on CDN header consistency\n\n## Development\n\n### Project Structure\n```\nmcp-internet-speed-test/\n\u251c\u2500\u2500 mcp_internet_speed_test/ # Main package directory\n\u2502 \u251c\u2500\u2500 __init__.py # Package initialization\n\u2502 \u2514\u2500\u2500 main.py # MCP server implementation\n\u251c\u2500\u2500 README.md # This documentation\n\u251c\u2500\u2500 Dockerfile # Container configuration\n\u2514\u2500\u2500 pyproject.toml # Python project configuration\n```\n\n### Key Components\n\n#### Configuration Constants\n- `GITHUB_RAW_URL`: Base URL for test files repository\n- `UPLOAD_ENDPOINTS`: Prioritized list of upload test endpoints\n- `SIZE_PROGRESSION`: Ordered list of file sizes for incremental testing\n- `*_POP_LOCATIONS`: Mappings of CDN codes to geographic locations\n\n#### Core Functions\n- `extract_server_info()`: Parses HTTP headers to identify CDN providers\n- `measure_*()`: Individual test functions for different metrics\n- `run_complete_test()`: Orchestrates comprehensive testing suite\n\n### Configuration Customization\n\nYou can customize the following in `mcp_internet_speed_test/main.py` if you clone the repository:\n```python\n# GitHub repository settings\nGITHUB_USERNAME = \"your-username\"\nGITHUB_REPO = \"your-speed-test-files\"\nGITHUB_BRANCH = \"main\"\n\n# Test duration thresholds\nBASE_TEST_DURATION = 8.0 # seconds\nADDITIONAL_TEST_DURATION = 4.0 # seconds\n\n# Default endpoints\nDEFAULT_UPLOAD_URL = \"your-upload-endpoint\"\nDEFAULT_LATENCY_URL = \"your-latency-endpoint\"\n```\n\n### Contributing\n\nThis is an experimental project and contributions are welcome:\n\n1. **Issues**: Report bugs or request features\n2. **Pull Requests**: Submit code improvements\n3. **Documentation**: Help improve this README\n4. **Testing**: Test with different network conditions and CDNs\n\n## License\n\nThis project is licensed under the MIT License - see the LICENSE file for details.\n\n## Acknowledgments\n\n- MCP Framework maintainers for standardizing AI tool interactions\n- The Model Context Protocol community for documentation and examples\n",
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