How to Orchestrate Testing with the SmartBear MCP Server 

Managing a large suite of automated tests, especially across multiple tools, can be overwhelming. The SmartBear MCP (Model Context Protocol) Server centralizes orchestration, monitoring, and prioritization so you can keep pipelines fast, reliable, and easy to manage. 

The demo video below shows MCP in action, and the sections that follow explain how each capability can help you get more out of both open-source and commercial testing tools. Explore these docs to learn how to get started.

What is the SmartBear MCP Server and How Does It Simplify Test Automation? 

SmartBear MCP integrates directly into your LLM of choice, right from your existing IDE, giving you one interface to manage your entire test automation process. The documentation includes instructions for connecting to Claude Desktop, GitHub CoPilot, and others. From here, you can: 

• Retrieve a complete list of tests in your account. 

• Launch tests on demand, without switching between tools. 

• Monitor execution progress for both individual tests and suites. 

• Generate test reports to share with stakeholders. 

• … and much more. 

This centralization means less time navigating systems and more time focusing on test outcomes. 

How to Detect and Prioritize Flaky Tests Using MCP 

Flaky tests – those that sometimes pass and sometimes fail seemingly for no reason – can slow delivery and cause false alarms. SmartBear MCP automatically detects flakiness, reports on its severity, and lets you prioritize unstable or high-risk tests first. 

Running your tests through SmartBear MCP helps you spot issues faster, reduce wasted runs, and deliver more stable releases. 

Use Case 1: Run and Monitor Tests with the MCP Server 

Once you’ve prioritized your tests, you can trigger test runs directly within SmartBear MCP. The real-time dashboard shows execution status, and when the run is complete, MCP provides a full breakdown of passed and failed tests. 

It also surfaces actionable insights, helping you determine whether to re-run, investigate, or push changes forward – without sifting through raw logs. 

Use Case 2: Generate Clear Test Reports for Stakeholders 

With SmartBear MCP, you can quickly create reports that highlight test history, flakiness trends, and overall execution results. 

These reports help QA teams track quality metrics, spot recurring issues, and keep leadership informed — without manual data crunching. 

Why Use the SmartBear MCP Server in Your Testing Workflow? 

By centralizing orchestration, prioritizing tests based on risk, and delivering actionable reports, MCP helps teams: 

• Reduce wasted cycles on unreliable tests. 

• Increase confidence in automated pipelines. 

• Shorten the path to release readiness. 

And all of this can be managed from the developer’s current IDE.  For teams blending open-source frameworks with commercial tools, MCP acts as the control center – bringing visibility and decision-making power into one streamlined platform. 

For more info, check out our docs – and if you’re curious how else we’re innovating with AI, check smartbear.com/ai.