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Keploy

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Test Your AI Code with Production Traffic Sandboxes

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Keploy is an open-source API testing platform that records regression tests from real API traffic and replays them in CI as isolated sandboxes. Tests run in milliseconds, not minutes. It supports AI-powered API testing, coverage reporting, and performance testing. Keploy also integrates with the Model Context Protocol (MCP) to serve as a validation layer for AI coding agents like Cursor, GitHub Copilot, and Claude Code. The platform is trusted by teams at Amazon, Apple, Nutanix, and others. It offers a VS Code extension, CLI tools, and integrates with Docker, Kubernetes, GitHub, GitLab, Prisma, Django, Gin, Echo, and GraphQL.

Key Features

  • Record-replay API testing from real traffic
  • AI-powered API test generation and self-healing
  • Coverage reporting and performance testing
  • MCP integration for AI-native testing workflows

Who It’s For

  • Developers looking to automate API testing
  • QA engineers needing fast, reliable regression tests
  • Teams using AI coding agents that require verification against real traffic

Key Benefits

  • Tests run in milliseconds, not minutes
  • Records regression tests from real API traffic
  • Open source with strong community backing
  • Trusted by large enterprise teams
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