An MCP server built for Lippia that enables running Lippia as an MCP Server and interoperates with any autonomous agent that supports the Model Context Protocol. At its core, the server uses a Java stack (Java 17+, Spring Boot) and StdIO transport combined with the MCP Java SDK to communicate via MCP and REST. An AI Agent orchestrates multiple MCP servers and coordinates automated testing across the Lippia framework. The architecture includes building and reporting capabilities (create_feature, create_test, execute_test, send_report) and supports automated communication of status updates to Google Chat, Slack, Teams, or Discord. Core navigation and action primitives are exposed (open_browser, close_browser, navigate_to, click, type, get_text, get_page_title, get_page_source, get_current_url, screenshot), along with waits (wait_clickable, wait_visibility, wait_presences, etc.) and verifications (is_enabled, is_present, is_visible). The autonomous workflow covers user-story input, autonomous navigation with in-memory mapping, feature and glue-code development, suite execution, and team notifications. The architecture emphasizes modular microservices, dual protocol support (MCP + REST), extensibility, and resilience with WebDriver-based automation.