Lippia-io/Lippia-MCP-Server

AI Agent + Lippia MCP Server Architecture

This is a custom MCP (Model Context Protocol) server for Lippia, designed to work with any Autonomous Agent that supports the protocol.
It allows you to run Lippia as a MCP Server.

Comprehensive Architecture for Automated Testing and Autonomous Navigation

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Navigation

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🎯 Architectural Overview

🤖 AI Agent

Intelligent coordinator that orchestrates both MCP servers

Connected to

🔧 Lippia MCP Server

Automated Test Generation & Autonomous Navigation

🏗️ INFRASTRUCTURE

• Java SDK - Core platform
• MCP Protocol - Communication layer
• StdIO Transport - Data transport

🚀 Building & Reporting

• create_feature - Feature Generation
• create_test - Test Generation
• execute_test - Test Suite Execution
• send_report - Agent Status Notifications via Google Chat, Slack, Teams, or Discord

🧭 Navigation & Actions

• Main Actions: open_browser, close_browser, navigate_to, click, type, get_text, get_page_title, get_page_source, get_current_url, screenshot
• Waits: wait_clickable, wait_visibility, wait_visibilities, wait_invisibility, wait_invisibilities, wait_presence, wait_presences
• Verifications: is_enabled, is_selected, is_present, is_visible

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🔄 Autonomous Workflow

1. 📝 User Stories - User provides user stories to automate
2. 🧭 Autonomous Navigation - Lippia navigates autonomously and maps the application flow in memory
3. 📄 Feature Development - Agent references user stories and generates feature files
4. 💻 Glue Code Development - Agent references memory mapping and generates glue code
5. ▶️ Suite Execution - Agent executes the automated test suite
6. 💬 Team Notifications - Agent reports to the team about progress and work completed

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✅ Capabilities

Core Features

• ✅ Autonomous E2E Testing - Automatic test generation + execution navigating through the application
• ✅ Intelligent Web Scraping - Navigation and data extraction with artificial intelligence logic
• ✅ Form Automation - Automatic completion of complex forms with validation
• ✅ Visual Validation - Screenshots + AI analysis to verify user interfaces
• ✅ Exploratory Testing - AI explores the application and generates tests dynamically
• ✅ Intelligent Reports - Automatic report generation with insights and recommendations

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System Statistics

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Technical Details

Technology Stack

• Backend: Java 17+, Spring Boot, Maven
• MCP Java SDK: Model Context Protocol
• Automation: Lippia Framework
• Browser: WebDriver
• Transport: StdIO

Architecture

• Microservices: Separation of concerns
• Dual Protocol: MCP + REST APIs
• Scalable: Modular architecture
• Extensible: Easy to add new tools
• Resilient: Robust error handling