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 LangChain 10 tools — connect in under 2 minutes

Name: Cypress Cloud
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Cypress Cloud through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "cypress-cloud": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Cypress Cloud, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

LangChain's ecosystem of 500+ components combines seamlessly with Cypress Cloud through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Cypress Cloud via MCP

Why Use LangChain with the Cypress Cloud MCP Server

LangChain provides unique advantages when paired with Cypress Cloud through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Cypress Cloud MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Cypress Cloud queries for multi-turn workflows

Cypress Cloud + LangChain Use Cases

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

RAG with live data: combine Cypress Cloud tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Cypress Cloud, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Cypress Cloud tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Cypress Cloud tool call, measure latency, and optimize your agent's performance

Cypress Cloud MCP Tools for LangChain (10)

These 10 tools become available when you connect Cypress Cloud to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Cypress Cloud + LangChain FAQ

Common questions about integrating Cypress Cloud MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.