mcp-internet-speed-test
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This is an experimental implementation of a Model Context Protocol (MCP) server for internet speed testing.
The MCP Internet Speed Test server is designed to allow AI models and agents to measure, analyze, and report network performance metrics through a standardized interface. By leveraging the Model Context Protocol, this server provides a unified way for AI systems to interact with network testing tools, enabling them to perform tasks such as measuring download and upload speeds, analyzing latency, and calculating jitter. The server outputs detailed JSON-formatted reports, making it easy to integrate with other systems and applications. This experimental version aims to standardize network performance testing for AI applications, providing a reliable and consistent method for assessing internet speed and quality.
Features
- Download Speed Testing: Measure download bandwidth
- Upload Speed Testing: Measure upload bandwidth with configurable file sizes
- Latency Testing: Measure network latency to various servers
- Jitter Analysis: Calculate network jitter by analyzing latency variations
- Comprehensive Reporting: Provide detailed JSON-formatted reports
