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.

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.

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.

Applitools MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Applitools
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Applitools through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Applitools Assistant",
            instructions=(
                "You help users interact with Applitools. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Applitools"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Applitools MCP Server

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.

The OpenAI Agents SDK auto-discovers all 10 tools from Applitools through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Applitools, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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

The Applitools MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Applitools to OpenAI Agents SDK via MCP

Follow these steps to integrate the Applitools MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Applitools

Why Use OpenAI Agents SDK with the Applitools MCP Server

OpenAI Agents SDK provides unique advantages when paired with Applitools through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Applitools + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Applitools MCP Server delivers measurable value.

Automated workflows: build agents that query Applitools, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Applitools, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Applitools tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Applitools to resolve tickets, look up records, and update statuses without human intervention

Applitools MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Applitools to OpenAI Agents SDK via MCP:

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

Example Prompts for Applitools in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Applitools immediately.

"List the most recent visual test batches in Applitools."

"Get me the exact session results for our unresolved batch ID b_991x."

"List the baselines assigned specifically to fixing the 'feature/dark-mode-header' branch."

Troubleshooting Applitools MCP Server with OpenAI Agents SDK

Common issues when connecting Applitools to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Applitools + OpenAI Agents SDK FAQ

Common questions about integrating Applitools MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.