Can my agent help me debug a failed Cypress test?

Yes. Use the 'get_instance' tool with the instance ID. The agent will retrieve explicit error messages and can provide you with direct links to failure screenshots and video recordings stored in Cypress Cloud.

How do I identify which tests are flaky in my project?

Provide a start date to the 'report_flaky' tool. Your agent will analyze the historical data from Cypress Cloud and identify tests that intermittently pass and fail, helping you improve your CI reliability.

Can I use the agent to monitor the duration of my test runs?

Absolutely. The 'report_slow' tool retrieves high-precision duration metrics. The agent can surface the slowest tests by average or p95 duration, allowing you to optimize your test suite's execution time.

Cypress Cloud MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Cypress Cloud
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Cypress Cloud through Vinkius, pass the Edge URL in the `mcps` parameter and every Cypress Cloud tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Cypress Cloud Specialist",
    goal="Help users interact with Cypress Cloud effectively",
    backstory=(
        "You are an expert at leveraging Cypress Cloud tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Cypress Cloud "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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 Cypress Cloud MCP Server

Connect your Cypress Cloud enterprise account to any AI agent and take full control of your end-to-end testing lifecycle and quality metrics through natural conversation.

When paired with CrewAI, Cypress Cloud becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Cypress Cloud tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Run Monitoring — List recent test executions for your projects and retrieve detailed passed/failed/pending counts and commit info
Instance Deep Dives — Inspect specific spec file executions to retrieve error messages, screenshots, and video URLs for failed tests
Flaky Test Identification — Generate enterprise reports to identify intermittent failures and audit last flake dates across your codebase
Performance Auditing — Retrieve slow test reports to evaluate average durations and p95 performance metrics for your CI/CD pipeline
Enterprise Reporting — Fetch aggregated run summaries and granular test result data formatted for BI dashboards and audits
Project Navigation — List all organizational projects and identify unique 6-character IDs required for programmatic data extraction

The Cypress Cloud MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI 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 Cypress Cloud to CrewAI via MCP

Follow these steps to integrate the Cypress Cloud MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Cypress Cloud

Why Use CrewAI with the Cypress Cloud MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Cypress Cloud through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Cypress Cloud + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Cypress Cloud MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Cypress Cloud for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Cypress Cloud, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Cypress Cloud tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Cypress Cloud against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Cypress Cloud MCP Tools for CrewAI (10)

These 10 tools become available when you connect Cypress Cloud to CrewAI via MCP:

get_instance

Get full details of a Cypress spec instance including spec name, status, error messages, screenshots, video URLs, and browser info

get_instances

List spec instances within a Cypress run. Each instance represents one spec file execution. Returns instance IDs, spec names, statuses, and durations

get_run

Get full details of a Cypress Cloud run including status, total tests, passed/failed/pending counts, duration, parallelization, groups, and commit info

get_runs

List recent test runs for a Cypress Cloud project. Returns run IDs, commit info, branch, CI build IDs, statuses (passed/failed/running), durations, and spec counts

get_tests

List individual tests within a Cypress spec instance. Returns test titles, states (passed/failed/pending/skipped), durations, and error messages

list_projects

Useful for finding the `project_id`. List all projects on Cypress Cloud. Cypress is the leading JavaScript E2E testing framework. Returns project names, IDs, and org info via the Enterprise Data Extract API

report_flaky

Get flaky test report from Cypress Cloud. Identifies tests that intermittently pass/fail. Returns test names, flake rates, and last flake dates

report_runs

Must provide the start date. Get enterprise run summary report from Cypress Cloud. Aggregated data for BI dashboards. Requires start_date (YYYY-MM-DD)

report_slow

Get slow test report from Cypress Cloud. Identifies slowest tests by average duration. Returns test names, avg/p95/max durations

report_tests

Get enterprise test results report from Cypress Cloud. Individual test-level data with statuses and error messages

Example Prompts for Cypress Cloud in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Cypress Cloud immediately.

"List the last 5 test runs for project 'abc123'"

"Show me why instance 'ins_789' failed"

"Give me a report of flaky tests starting from 2024-01-01"

Troubleshooting Cypress Cloud MCP Server with CrewAI

Common issues when connecting Cypress Cloud to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Cypress Cloud + CrewAI FAQ

Common questions about integrating Cypress Cloud MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.