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Applitools

Applitools MCP Server

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Bring AI-powered visual testing to your AI agent — inspect test batches, review UI diffs, and manage your visual baselines naturally.

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What is the Applitools MCP Server?

The Applitools MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Applitools via 10 tools. Bring AI-powered visual testing to your AI agent — inspect test batches, review UI diffs, and manage your visual baselines naturally. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

delete_baselinedelete_batchget_batchget_batch_statsget_sessionlist_baselineslist_batcheslist_branch_baselineslist_resultsvalidate_key

Tools for your AI Agents to operate Applitools

Ask your AI agent "List the most recent visual test batches in Applitools." and get the answer without opening a single dashboard. With 10 tools connected to real Applitools data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Applitools MCP Server capabilities

10 tools
delete_baseline

Use when a baseline is outdated or a page has been redesigned. Delete an Applitools test baseline

delete_batch

Does NOT affect baselines. Use with caution — this is irreversible. Delete an Applitools test batch

get_batch

Use batch ID from list_batches. Get full details of an Applitools batch

get_batch_stats

Returns passed/failed/unresolved/new counts without full test data. Get summary statistics for an Applitools batch

get_session

Provide batch ID and session ID. Get details of a test session within an Applitools batch

list_baselines

Returns baseline IDs, names, and env configs. Filter by app name. List visual baselines for an app on Applitools

list_batches

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

Use to inspect branch-specific visual states. List baselines for a specific branch on Applitools

list_results

List all test results in an Applitools batch

validate_key

Use to verify connectivity before running tests. Validate the Applitools API key

What the Applitools MCP Server unlocks

Connect your Applitools Eyes testing suite to your AI agent and manage your entire visual regression pipeline without opening the dashboard. Allow your agent to spot UI changes, validate baselines, and assess testing health dynamically.

What you can do

  • Batch Observability — Query active test batches to view aggregated statuses (Passed, Failed, Unresolved) and completion rates
  • Session & Results analysis — Drill down into specific test sessions to examine failed step images, match levels, and browser differences
  • Baseline Management — List your "golden" graphical baselines bound to applications or specific Git branches
  • Actionable Maintenance — Authorize the agent to delete outdated baselines or discard legacy batches to keep your workspace clean
  • Key Validation — Ensure connectivity against your visual AI engine before pipeline triggers

How it works

1. Subscribe to this server
2. Insert your Applitools API Key
3. Review visual bugs and validate frontend changes directly from Claude, Cursor, or any MCP-compatible surface

Who is this for?

  • QA Automation Engineers — ask your agent to summarize unresolved test batches and pinpoint exact OS/browser failure combinations
  • Frontend Developers — verify branch-specific visual baselines during PRs without context switching
  • Engineering Managers — pull high-level batch stats to ensure release criteria are visually met
  • Designers — request a quick breakdown of structural UI changes caught by Applitools Visual AI before deployment

Frequently asked questions about the Applitools MCP Server

01

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.

02

Can I use the agent to delete old UI snapshots?

Yes. If your UI has undergone major structural changes and old baselines are causing false positives, you can authorize the agent to execute the delete_baseline tool. Provide the exact baseline ID to instantly discard the legacy screenshot from your workspace.

03

How fast can I summarize test errors after my CI/CD action triggers?

Almost instantly. Rather than scrolling through dozens of Applitools logs, ask your agent to 'Get batch stats for ID 123'. It will immediately return the aggregation of Passed, Failed, and Unresolved runs, saving you countless minutes of digging.

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