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Use AI Agents with BrowserStack MCP server
Use natural language prompts in your AI assistant to run various BrowserStack services through the MCP server.
Use the BrowserStack MCP server to leverage AI-powered testing tools directly from your coding assistant (such as GitHub Copilot, Claude, or Cursor). BrowserStack AI agents are intelligent automation tools that enhance your testing workflows through failure analysis, test case generation, self-healing capabilities, and visual testing automation.
To get started with BrowserStack MCP server, see the get started with BrowserStack MCP documentation.
To use AI agents, you need to activate your AI preferences in your BrowserStack account. For more information, see the activate BrowserStack AI documentation.
Enhance testing workflows with AI agents
Use the following AI agents to automate and optimize your testing processes through natural language prompts. Each agent can be invoked with simple, natural language prompts in your coding assistant:
Test Failure Analysis Agent (previously RCA Agent)
Automatically analyze test failures and provide detailed insights to help you quickly identify and resolve issues. Works for Automate, App Automate, Test Reporting and Analytics, and will soon be enabled for Test Management.
Example prompt: Fetch and fix flaky test selectors in Automate session ID session_9482 using MCP
Self-healing agent
Automatically fix flaky tests by retrieving AI-generated selectors that adapt to dynamic DOM changes. Available for both Automate and App Automate to maintain stable test automation scripts over time.
Example prompt: Fetch and fix flaky test selectors in Automate session ID session_9482 using MCP
Test case generator agent (TM)
Generate comprehensive test cases from Product Requirement Documents (PRDs) or convert manual test cases into Low Code Automation (LCA) steps for teams adopting low-code frameworks.
Example prompt: Convert the manual test case ‘Add to Cart’ in the ‘Shopping App’ project into LCA steps
Visual review agent
Shows a single summary of all visual changes between the latest Percy build and the previous one. It collates the per‑snapshot AI summaries. Use it after a Percy scan, to quickly see what changed.
Example prompt: Fetch visual change summary for the latest Percy build in shop-web.
Visual test integration agent
Full onboarding for new Percy users with complete setup and demo workflows
Example prompt: Integrate Percy in project shop-web and show a two-build visual diff demo
Tool reference
Use these AI agent tools to automate testing processes, analyze failures, generate test cases, and implement self-healing test automation through simple natural language prompts.
| Example prompt | Description | Input parameters | Invoked tool |
|---|---|---|---|
| Fetch and fix flaky test selectors in Automate session ID session_9482 using MCP | Retrieves AI-generated, self-healed selectors for a BrowserStack Automate session to resolve flaky tests caused by dynamic DOM changes. This helps maintain stable test automation scripts over time. | • Session ID (required) • Product type (optional) |
fetchSelfHealedSelectors |
| Convert the manual test case ‘Add to Cart’ in the ‘Shopping App’ project into LCA steps | Creates Low Code Automation (LCA) steps from a manual test case in Test Management. Useful for teams adopting low-code frameworks. | • Test case name (required) • Project name (required) • Test case ID (optional) |
createLCASteps |
| Upload PRD from /Users/username/Desktop/login-flow.pdf and use BrowserStack AI to generate test cases | Uploads a Product Requirement Document (PRD) or any relevant file like PDF or a screenshot and returns a file mapping ID. After this tool has uploaded the file, createTestCasesFromFile tool is invoked by MCP server to create the test cases. Both these tools work in sync. The file mapping ID generated above can then be used by the AI test case generator to automatically create test cases. | • File path (required) • File type (optional) • Project context (optional) |
uploadProductRequirementFile |
| “Integrate Percy for this project using percyVisualTestIntegrationAgent” “Integrate Percy in project shop-web and show a two-build visual diff demo” |
Full onboarding for new Percy users. Detects tech stack, installs SDK and deps, adds snapshots, runs Build 1, simulates a safe UI change, runs Build 2, shows diffs, then reverts the demo changes. Works on a separate branch; offers to expand coverage after. | • Project name (optional) • Project path (optional) • Branch name (optional) • Tech stack (auto-detected) |
percyVisualTestIntegrationAgent |
| Fetch visual change summary for the latest Percy build in shop-web. | Shows a summary of all visual changes between the latest Percy build and the previous one. Returns: AI-generated summary of changes, per-snapshot diffs. |
• projectName (required): Project name | fetchPercyChanges |
Example: Using MCP server with AI agents using Github Copilot agent on VS Code
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