MeterSphere
Bridges the gap between testing platforms and development environments, allowing LLMs to access and execute tests.
About
MeterSphere acts as an intelligent bridge between testing platforms and development environments, exposing testing tools and resources to Large Language Models (LLMs) via HTTP + SSE, STDIO, or Docker channels. It enables developers to access, execute, and analyze test resources directly within their IDEs, code editors, or AI assistants, facilitating API testing, documentation retrieval, and mock service creation through natural language commands. This shifts testing to the development stage, shortens feedback loops, enhances R&D efficiency, and promotes DevTestOps integration by allowing developers to seamlessly utilize testing assets configured by testing teams.
Key Features
- Supports HTTP + SSE, STDIO, and Docker communication channels.
- Enables API testing through LLM clients.
- Allows developers to access test resources within their development environment.
- 2 GitHub stars
- Facilitates test automation and collaboration.
- Provides tools for API documentation synchronization and test result analysis.
Use Cases
- Integrating API testing into the development workflow.
- Automating test case execution using natural language commands.
- Connecting test platforms with LLM clients such as VS Code and Claude.
