mcp-test

Run and parse test results from multiple frameworks including Bats, Pytest, Flutter, Jest, Go, Rust, and generic commands through a unified Model Context Protocol (MCP) interface for streamlined test execution and output processing.

Experimental Model Context Protocol server enabling AI models to measure and analyze internet speed, latency, jitter, and bandwidth with detailed JSON reporting for enhanced network performance evaluation.

An AI assistant leveraging Model Context Protocol to analyze, create, and edit code, execute terminal commands, interact with browsers, and integrate multiple APIs for efficient, safe, and context-aware software development workflows.

Model Context Protocol server enabling image compression for local and remote files with customizable output formats and seamless integration via API key authentication.

Standardizes LLM interactions by providing a modular framework that exposes tools, resources, and prompts for seamless integration, context access, and function execution within the Model Context Protocol ecosystem.