Enables AI agents to drive Robot Framework through natural language, discovering keywords, running live test steps across web, mobile, API, database, and desktop targets, and generating clean .robot test suites from plain-English instructions.
Enables generating Robot Framework test cases with SeleniumLibrary, creating page object models, and performing performance monitoring through natural language.
RobotMCP is a comprehensive Model Context Protocol (MCP) server that bridges the gap between human language and Robot Framework automation. It enables AI agents to understand test intentions, execute steps interactively, and generate complete test suites from successful executions.
Enables AI models (Claude, ChatGPT, GitHub Copilot) to run and analyze local tests, rerun failures, and orchestrate QA workflows using existing UI and API test frameworks.
Enables AI coding agents to autonomously interact with and test web applications in a real browser, providing DOM/Accessibility tree extraction, runtime telemetry, screenshot capture, and Markdown test reports.
