UniAuto MCP Server

UniAuto MCP Server is a next‑generation test automation platform that brings together web and desktop testing, self‑healing selectors, and AI‑driven test creation under the umbrella of the Model Context Protocol (MCP). Its primary goal is to eliminate the notorious brittleness that plagues conventional UI automation suites, drastically cutting maintenance overhead while opening up test creation to non‑technical stakeholders.

At the core of UniAuto is a five‑tier self‑healing engine. When a locator fails, the server first probes its internal repository for an alternate selector, then falls back to role‑based accessibility queries, and progressively relaxes the selector constraints. If structural recovery fails, visual matching steps in—comparing DOM snapshots and screenshot pixel data to locate the element by appearance. Finally, contextual text proximity analysis ensures that even when a UI is overhauled, the test can still find the intended target. This cascade of recovery strategies means that a single change in the UI rarely forces a test rewrite, turning maintenance from a monthly chore into an occasional tweak.

UniAuto’s AI integration is equally transformative. By exposing its actions through MCP, Claude and other large language models can directly instruct the server: “Automate the checkout process,” and the model will generate a complete test script in Playwright, Cypress, or Jest. The server interprets natural‑language commands, extracts the necessary selectors via its self‑healing logic, and even parses screenshot inputs to resolve ambiguous elements. The result is a fully automated pipeline from user story to executable test, available in BDD or TDD styles as needed.

The platform’s unified web‑and‑desktop API allows a single test case to span browser interactions and native desktop flows. This is critical for modern applications that mix web portals with local installers or embedded dashboards, ensuring end‑to‑end coverage without switching tools. Coupled with visual intelligence—pixel‑perfect comparison and image recognition—the server can validate UI state even when the DOM structure is invisible or constantly changing.

For developers and QA teams, UniAuto offers a ready‑to‑integrate MCP server that plugs into existing AI orchestration platforms like Smithery.ai. It exposes a standardized set of resources, tools, prompts, and sampling endpoints, making it trivial to embed test automation into larger AI workflows. Whether you’re building a continuous integration pipeline that auto‑generates tests on every PR, or empowering product managers to author acceptance criteria in plain English, UniAuto’s combination of resilience, AI fluency, and cross‑platform support delivers a compelling edge in the test automation landscape.