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How to Use the Cypress Cloud MCP in OpenAI Agents SDK

Build production-ready testing agents for Cypress Cloud with the OpenAI Agents SDK. Monitor runs, find flaky tests, and act on the results.

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OpenAI Agents SDK

Connect Cypress Cloud MCP to OpenAI Agents SDK

Create your Vinkius account to connect Cypress Cloud to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Monitor Test Runs in Real-Time

Your agent can pull live data straight from Cypress Cloud. Use `get_runs` to see the status of recent test runs and `get_run` to drill into a specific one, checking pass/fail counts and commit info. It's not just data—it's a live feed of your CI/CD pipeline's health. The OpenAI Agents SDK lets you build specialized agents. One agent could watch for failed runs using `get_runs`, then hand off the `run_id` to another agent that uses `get_instance` and `get_tests` to find the exact point of failure, complete with error messages. This MCP Server gives your agents the raw data to diagnose problems automatically.

Pinpoint Flaky and Slow Tests

Stop chasing intermittent failures. Give your agent the `report_flaky` tool to get a list of tests that are causing trouble. It identifies tests with high flake rates, so your team knows exactly where to focus their stabilization efforts. No more guessing. Performance bottlenecks are just as bad. With `report_slow`, your agent can identify the slowest tests in your suite, showing you the average and p95 durations. Your performance-auditing agent can now automatically flag regressions before they bog down your entire test cycle.

Generate Reports with Your MCP Server

This isn't just about single data points. Your agent can generate high-level summaries for reporting. The `report_runs` tool pulls aggregated data for a given date range, perfect for feeding into internal dashboards or weekly summaries. When you need the full picture, `report_tests` delivers. It provides a complete dump of individual test results. An agent built with the OpenAI Agents SDK can use this to create custom reports, validate compliance, or archive test evidence without any manual work. It's your entire test history, on demand.

Setup guide

Set up Cypress Cloud MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Cypress Cloud tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Cypress Cloud tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Cypress Cloud tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Cypress Cloud Agent",
            instructions="You have access to Cypress Cloud tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cypress. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Cypress Cloud MCP in OpenAI Agents SDK

It connects through this MCP Server. You just provide the Vinkius endpoint URL to the `MCPServerStreamableHttp` class in your Python code. The SDK handles tool discovery automatically, so your agent can immediately start using tools like `get_run` and `list_projects`.
Yes, that's a perfect use case. You can create a specialized agent that only has access to the `report_flaky` and `get_tests` tools. The SDK's guardrails ensure it can't perform other actions, keeping its focus narrow and safe.
You get detailed test execution data. This includes run-level summaries from `get_runs`, individual spec instance details with screenshots and videos via `get_instance`, and test-level results with error messages using `get_tests`.
It's a different approach. Instead of writing imperative scripts, you describe a goal to your agent. The agent then uses the available tools from this MCP setup to figure out the steps, like using `get_runs` then `get_instance` to investigate a failure.
Your agent communicates with Vinkius, not directly with your Cypress Cloud account. This server only has permissions to read test and project data—it can't modify anything. All connections are ephemeral and run in a zero-trust sandbox, so your test results and metadata are only exposed for the duration of the request.

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