Locust-MCP-Server is a server implementation based on the Model Context Protocol (MCP), used to run Locust load tests and supports seamless integration with AI development environments.

The Locust-MCP-Server is a load testing server based on the Model Context Protocol framework, supporting seamless running of Locust performance tests through an AI development environment, providing configurable test parameters and real-time execution output.

MeshSeeks is an AI task-solving platform based on multi-agent parallel processing technology. By creating a specialized AI agent network, it enables the rapid decomposition and collaborative resolution of complex coding problems. The project offers 4 times the context capacity, a real-time status panel, and intelligent task coordination functions, significantly improving development efficiency (benchmark tests show a 3.64-fold speed increase).

An MCP server for running Postman collections based on Newman, providing a standardized interface for LLMs to execute API tests and obtain detailed results