As GenAI continues to shape the future of software development, one powerful concept is making waves in the QA world: Model Context Protocol (MCP) . While it may sound technical at first, MCP is essentially the protocol that allows AI to maintain context and interact with external tools like JIRA, Slack, or Playwright during multi-step tasks. For testers, this means building intelligent assistants that can act like real QA team members. In this blog, we'll break down what MCP is, how it works, and how it can be used in software testing — with examples, advantages, and a few challenges to watch out for. What is Model Context Protocol (MCP)? Think of MCP as the orchestrator behind intelligent conversations between a GenAI model and external systems. It's a structured way to maintain: Who said what (User vs AI) What AI is supposed to do (System instructions) Which tools can it use (Tool calls) What results were received (Tool responses)...
A blog about my testing stories where I pen down my thoughts about test automation covering primarily Selenium, Playwright, Java, JS/TS, Rest Assured, Karate, Maven, TestNG, Postman, newman, Jenkins, Git, Azure DevOps, etc.