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K6 Load Testing
An implementation of a k6 load testing server based on the Model Context Protocol
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Autogpt 26r
AutoGPT is an open - source AI agent framework designed to enable everyone to easily build and use AI agents. The project provides the Forge toolchain to simplify the development process, including benchmark testing, user interface, and CLI tools. It supports compatibility through the Agent Protocol standard and has an arena leaderboard to encourage developers to optimize agent performance.
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A Locust load test server implementation based on the Model Context Protocol, supporting AI development environment integration
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An example of MCP service configuration for the benchmark-proxy project
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Webtools MCP Server
The Webtools MCP Server is a web page analysis tool server based on Node.js. It provides functions such as HTML extraction, Markdown conversion, screenshot capture, debug console, performance analysis, and Lighthouse website audit, and supports testing under multiple device and network conditions.
JavaScript
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Autogpt 0as
AutoGPT is an open - source AI agent toolkit that provides a modular and extensible framework, supporting users to build, test, and monitor AI agents. The project includes the Forge Innovation Lab, a Benchmark testing environment, and a user - friendly front - end interface, and uses the Agent Protocol for standardized communication. The community is active, regularly hosting hackathons and other activities to drive innovation.
Python
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Qainsights Locust MCP Server
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.
Python
3.3K
2 points
Qainsights K6 MCP Server
A k6 load testing server implementation based on the Model Context Protocol framework, supporting custom test parameters and real-time output.
Python
3.3K
2 points
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