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

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Cypress Cloud as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Cypress Cloud. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Cypress Cloud?"
    )
    print(response)

asyncio.run(main())
Cypress Cloud
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* 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.

LlamaIndex agents combine Cypress Cloud tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Cypress Cloud

Why Use LlamaIndex with the Cypress Cloud MCP Server

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

01

Data-first architecture: LlamaIndex agents combine Cypress Cloud tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Cypress Cloud tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Cypress Cloud, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Cypress Cloud tools were called, what data was returned, and how it influenced the final answer

Cypress Cloud + LlamaIndex Use Cases

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

01

Hybrid search: combine Cypress Cloud real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Cypress Cloud to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Cypress Cloud for fresh data

04

Analytical workflows: chain Cypress Cloud queries with LlamaIndex's data connectors to build multi-source analytical reports

Cypress Cloud MCP Tools for LlamaIndex (10)

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

01

get_instance

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

02

get_instances

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

03

get_run

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

04

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

05

get_tests

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

06

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

07

report_flaky

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

08

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)

09

report_slow

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

10

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 LlamaIndex

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

01

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

02

"Show me why instance 'ins_789' failed"

03

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

Troubleshooting Cypress Cloud MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Cypress Cloud + LlamaIndex FAQ

Common questions about integrating Cypress Cloud MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Cypress Cloud tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Cypress Cloud to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.