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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.

Vinkius AI Gateway supports streamable HTTP and SSE.

Applitools

Works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Applitools MCP Server: see your AI Agent in action

AI AgentVinkiusApplitools
You

Vinkius AI Gateway
GDPR·High Security·Kill Switch·Ultra-Low Latency·Plug and Play

Built-in capabilities (10)

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Use when a baseline is outdated or a page has been redesigned.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 this connector 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

Give your AI agents the power of Applitools

Access Applitools and 2,000+ MCP servers — ready for your agents to use, right now. No glue code. No custom integrations. Just plug Vinkius AI Gateway and let your agents work.