How to Use the Cypress Cloud MCP in Google ADK
Connect Google ADK agents to Cypress Cloud. Feed test data into BigQuery and analyze long-term trends with Gemini's long-context window.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Cypress Cloud MCP to Google ADK
Create your Vinkius account to connect Cypress Cloud to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Feed Cypress Data into BigQuery
Turn your Cypress Cloud test results into structured data for analysis. An agent built with Google ADK can use `get_runs` and `get_tests` to fetch test data, then pipe it directly into BigQuery tables. This gives you a historical record of every test run, ready for complex querying. Go beyond simple pass/fail. Your agent can periodically run `report_slow` and `report_flaky`, storing the results in BigQuery. Now you can track test performance and stability trends over months, correlating them with code changes or infrastructure updates, all within the Google Cloud ecosystem.
Analyze Test Failures with Gemini
A failed run generates a lot of data. Your Gemini agent can handle it. Use `get_run`, `get_instances`, and `get_tests` to pull all the details of a failure—error messages, test titles, browser info—into its massive context window. With all the data in context, the agent can reason about the root cause. It can compare a failed run to a previous successful one, spot patterns in the errors, and suggest a likely cause. This MCP Server provides the raw material for Gemini's analytical power.
Automate Reporting on Google Cloud
Automate your engineering health metrics. Set up a scheduled agent to call `report_runs` and `report_tests` for enterprise-level summaries. The agent can format this data and push it to Google Sheets or a BI tool connected to Vertex AI. The `list_projects` tool is your starting point. An agent can use it to discover all available Cypress projects, then systematically gather data from each one. This is perfect for platform teams managing testing across an entire organization on Google Cloud.
Set up Cypress Cloud MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with Cypress Cloud tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="Cypress Cloud_agent",
model="gemini-2.0-flash",
instruction="You have access to Cypress Cloud tools via MCP.",
tools=mcp_tools,
) 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 Google ADK
Use it with your favorite AI tools
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