Hand-crafted lightweight Rest Client for testing APIs within VS Code, supporting collections, environments, and Git collaboration.
Thunder Client is a lightweight and user-friendly REST client designed specifically for testing APIs directly within VS Code. It eliminates the need for external tools by providing a simple interface for crafting and sending HTTP requests. Key features include local storage for saving request data, Git synchronization for team collaboration, and scriptless testing with a GUI-based interface. Thunder Client supports various HTTP methods, headers, and request bodies, making it suitable for developers and testers working on API-driven projects. With over 6 million downloads and trusted by numerous companies, it offers a convenient and efficient way to test APIs without leaving the VS Code environment. Recent integrations include AI capabilities via their MCP server and upcoming AI-generated tests.
Thunder Client is a lightweight and user-friendly REST client designed specifically for testing APIs directly within VS Code.
Explore all tools that specialize in send http requests to test apis. This domain focus ensures Thunder Client delivers optimized results for this specific requirement.
Explore all tools that specialize in organize requests into collections. This domain focus ensures Thunder Client delivers optimized results for this specific requirement.
Explore all tools that specialize in manage different environments for testing. This domain focus ensures Thunder Client delivers optimized results for this specific requirement.
Explore all tools that specialize in save request history for future use. This domain focus ensures Thunder Client delivers optimized results for this specific requirement.
Explore all tools that specialize in collaborate with team members via git sync. This domain focus ensures Thunder Client delivers optimized results for this specific requirement.
Explore all tools that specialize in validate api responses. This domain focus ensures Thunder Client delivers optimized results for this specific requirement.
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