Integrate Applitools with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiDelete baseline on Applitools
Use when a baseline is outdated or a page has been redesigned. Delete an Applitools test baseline
Delete batch on Applitools
Does NOT affect baselines. Use with caution — this is irreversible. Delete an Applitools test batch
Get batch on Applitools
Use batch ID from list_batches. Get full details of an Applitools batch
Get batch stats on Applitools
Returns passed/failed/unresolved/new counts without full test data. Get summary statistics for an Applitools batch
Get session on Applitools
Provide batch ID and session ID. Get details of a test session within an Applitools batch
List baselines on Applitools
Returns baseline IDs, names, and env configs. Filter by app name. List visual baselines for an app on Applitools
List batches on Applitools
Batches group related test sessions. Returns batch IDs, names, statuses (Passed/Unresolved/Failed), and test counts. Each batch has a unique ID used to query its results. List all test batches on Applitools Eyes
List branch baselines on Applitools
Use to inspect branch-specific visual states. List baselines for a specific branch on Applitools
List results on Applitools
List all test results in an Applitools batch
Validate key on Applitools
Use to verify connectivity before running tests. Validate the Applitools API key
Security & Code Integrity Audit
Every tool in the Applitools MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Can my AI agent resolve a test failure on its own?
No. The MCP server is designed for pulling state data—it retrieves batches, session diff links, and match levels so you can review them locally. Approving a new baseline or resolving a mismatch still requires human intervention within the Applitools Eyes dashboard to maintain absolute testing safety.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Automated Workflows using Applitools
Add the Applitools tool to your AI Agents. The toolkit allows Claude and ChatGPT to securely fetch and update targeted data.
ChatGPT visual testing Automation
Connect Applitools to provide your chatbots with visual testing capabilities. The integration manages the backend execution for ship it workflows.
ChatGPT regression testing Automation
Integrate the Applitools server to handle regression testing requests natively. It provides the schemas required for ChatGPT and Cursor to manage ship it data.
Applitools. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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