{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-browserstackmcp-server","slug":"npm-browserstackmcp-server","name":"@browserstack/mcp-server","type":"mcp","url":"https://www.npmjs.com/package/@browserstack/mcp-server","page_url":"https://unfragile.ai/npm-browserstackmcp-server","categories":["mcp-servers"],"tags":["mcp","browserstack","testing","automation"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-browserstackmcp-server__cap_0","uri":"capability://tool.use.integration.remote.browser.session.orchestration.via.mcp.protocol","name":"remote browser session orchestration via mcp protocol","description":"Exposes BrowserStack's cloud browser infrastructure as MCP tools, allowing Claude and other MCP clients to spawn, control, and terminate remote browser sessions across 2000+ device/OS/browser combinations. Implements the Model Context Protocol as a server that translates high-level browser automation intents into BrowserStack REST API calls, managing session lifecycle, capabilities negotiation, and result streaming back to the client.","intents":["I want Claude to automatically test my web app on real devices without writing Selenium code","I need to run cross-browser compatibility checks from within an AI agent workflow","I want to automate visual regression testing across multiple device configurations"],"best_for":["AI agent developers building autonomous testing workflows","QA teams integrating BrowserStack into Claude-powered automation","Teams using MCP-compatible clients (Claude Desktop, custom agents) who need real device testing"],"limitations":["Requires active BrowserStack subscription with API credentials; free tier has limited concurrent sessions","Session latency includes network round-trip to BrowserStack cloud (~500ms-2s per command)","No local browser fallback — all execution happens remotely, cannot test localhost without tunnel setup","MCP protocol overhead adds ~100-200ms per tool invocation compared to direct REST API calls"],"requires":["BrowserStack account with valid API key and secret","MCP-compatible client (Claude Desktop 0.1.0+, or custom MCP host)","Node.js 14+ for running the MCP server","Network access to BrowserStack API endpoints (api.browserstack.com)"],"input_types":["browser capability specifications (browserName, version, OS, device)","automation commands (navigate, click, type, screenshot, execute script)","test configuration objects (timeout, resolution, orientation)"],"output_types":["session ID and connection details","screenshot data (base64 or URL)","DOM element references and computed styles","console logs and network activity","test results and assertion outcomes"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-browserstackmcp-server__cap_1","uri":"capability://data.processing.analysis.device.capability.enumeration.and.filtering","name":"device capability enumeration and filtering","description":"Provides MCP tools to query and filter BrowserStack's device catalog (2000+ combinations of browsers, OS versions, devices, screen resolutions). Implements server-side filtering logic that translates human-readable device queries ('latest Chrome on iPhone 15') into BrowserStack capability objects, with caching of the device list to reduce API calls.","intents":["I want to find all available iOS devices with Safari 17+","I need to get the latest Android device configurations for testing","I want to list all desktop browsers available in a specific region"],"best_for":["QA engineers building dynamic test matrices based on device availability","AI agents that need to intelligently select test targets based on coverage requirements","Teams automating device selection without hardcoding capability strings"],"limitations":["Device list is cached and may be stale if new devices are added to BrowserStack (requires server restart or cache invalidation)","Filtering is performed client-side after fetching full catalog; no server-side query optimization for large result sets","Does not include real-time device availability status (which devices are currently free vs. in use)"],"requires":["BrowserStack API key with read permissions","Network access to BrowserStack device catalog endpoint"],"input_types":["filter criteria objects (browser, OS, device type, resolution)","natural language device descriptions (optional, if NLP layer exists)"],"output_types":["structured device capability objects","filtered device lists with metadata (OS version, screen size, device name)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-browserstackmcp-server__cap_10","uri":"capability://data.processing.analysis.performance.metrics.collection.and.analysis","name":"performance metrics collection and analysis","description":"Collects performance metrics (Core Web Vitals, load time, resource timing, memory usage) from remote sessions and provides MCP tools to analyze and compare performance across devices. Implements metric collection via WebDriver performance APIs and optional integration with BrowserStack's performance monitoring, with result aggregation and trend analysis.","intents":["I want to measure Core Web Vitals (LCP, FID, CLS) across different devices","I need to compare page load times on mobile vs. desktop","I want to identify performance regressions by comparing metrics across test runs"],"best_for":["Performance engineering teams optimizing web applications","Teams monitoring Core Web Vitals for SEO impact","Developers validating performance improvements before deployment"],"limitations":["Performance metrics vary based on network conditions, device hardware, and browser caching; results may not be reproducible","Core Web Vitals require real user interaction; synthetic testing may not capture actual user experience","Memory profiling is limited to what WebDriver exposes; detailed heap snapshots require additional tools","Metric collection adds overhead to test execution (typically 5-10% slower)"],"requires":["Active BrowserStack session","Browser support for Performance API (all modern browsers)","Optional: BrowserStack performance monitoring subscription"],"input_types":["page URL","optional metric filters (which metrics to collect)"],"output_types":["performance metrics object (LCP, FID, CLS, load time, etc.)","resource timing breakdown (HTML, CSS, JS, images)","comparison data (vs. baseline or previous run)","performance grade or score"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-browserstackmcp-server__cap_11","uri":"capability://data.processing.analysis.error.logging.and.debugging.information.capture","name":"error logging and debugging information capture","description":"Captures browser console logs, JavaScript errors, network requests, and other debugging information from remote sessions. Implements log streaming via WebDriver protocol, with filtering and categorization of errors by type (JS errors, network failures, security warnings). Includes optional integration with error tracking services (Sentry, LogRocket) for centralized error analysis.","intents":["I want to see console errors that occurred during a test","I need to capture network requests to debug API failures","I want to collect all JavaScript errors across multiple test runs for analysis"],"best_for":["Developers debugging test failures and production issues","QA teams investigating why tests fail on specific devices","Teams integrating error tracking into automated testing"],"limitations":["Console logs are captured after page load; early errors during page initialization may be missed","Network request capture is limited to what the browser exposes; some requests may be hidden (CORS, service workers)","Log volume can be very large for long-running sessions; filtering is required to avoid overwhelming output","Source maps are required to get meaningful stack traces; minified code produces cryptic errors"],"requires":["Active BrowserStack session","Browser support for WebDriver logging (all modern browsers)"],"input_types":["log level filter (error, warning, info, debug)","optional log type filter (console, network, performance)"],"output_types":["array of log entries with timestamp and source","error stack traces (if available)","network request/response details","categorized error summary"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-browserstackmcp-server__cap_2","uri":"capability://image.visual.screenshot.capture.and.visual.assertion.support","name":"screenshot capture and visual assertion support","description":"Enables remote screenshot capture from BrowserStack sessions and returns image data (base64 or URL) that can be piped into Claude's vision capabilities or external image comparison tools. Implements screenshot buffering and optional compression to manage payload sizes when sending images back through MCP protocol.","intents":["I want Claude to take a screenshot and visually verify the page layout matches the design","I need to capture screenshots across 10 devices and compare them for visual regressions","I want to extract text from a screenshot using Claude's vision model"],"best_for":["Visual regression testing workflows integrated with Claude","Teams using Claude's vision capabilities for UI validation","Automated screenshot collection for documentation or reporting"],"limitations":["Screenshot data is large (typically 100KB-2MB per image); sending multiple screenshots through MCP adds significant latency","No built-in image diffing — requires external tool or Claude vision model for comparison","Screenshot timing is not guaranteed to capture dynamic content (animations, lazy-loaded images may not be visible)","Base64 encoding adds ~33% overhead to image payload size"],"requires":["Active BrowserStack session","Sufficient MCP message size limits (default 4MB, may need tuning for large screenshots)","Claude or vision-capable MCP client for image analysis"],"input_types":["session ID","optional screenshot options (quality, format)"],"output_types":["base64-encoded image data","screenshot URL (if BrowserStack provides direct links)","image metadata (dimensions, format)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-browserstackmcp-server__cap_3","uri":"capability://code.generation.editing.javascript.execution.and.dom.interaction.in.remote.sessions","name":"javascript execution and dom interaction in remote sessions","description":"Provides MCP tools to execute arbitrary JavaScript in the context of a remote BrowserStack session and retrieve DOM state, computed styles, or custom script results. Implements script injection via WebDriver protocol, with result serialization and error handling for non-serializable objects (functions, DOM nodes are converted to string representations).","intents":["I want to run a custom script to extract all form field values from the page","I need to check if a specific element is visible and get its computed CSS","I want to trigger a JavaScript event and capture the resulting DOM changes"],"best_for":["Advanced test automation requiring custom logic beyond standard interactions","Teams validating JavaScript-heavy applications (SPAs, dynamic content)","Debugging workflows where agents need to inspect runtime state"],"limitations":["Script execution timeout is limited (typically 30s); long-running scripts will fail","Non-serializable objects (DOM nodes, functions) are converted to string representations, losing type information","No access to browser console or network logs directly; requires custom script to capture that data","Cross-origin restrictions apply — scripts cannot access iframes or cross-origin content"],"requires":["Active BrowserStack session","JavaScript code as string (no module imports or external dependencies)"],"input_types":["JavaScript code string","optional arguments array (passed to script as parameters)"],"output_types":["script return value (serialized to JSON)","error messages if script fails","execution time metadata"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-browserstackmcp-server__cap_4","uri":"capability://automation.workflow.session.state.management.and.cleanup","name":"session state management and cleanup","description":"Manages the lifecycle of BrowserStack sessions (creation, tracking, termination) with automatic cleanup on session end. Implements session ID tracking, timeout handling, and resource deallocation to prevent orphaned sessions that consume BrowserStack concurrency limits. Includes optional session persistence metadata for debugging and audit trails.","intents":["I want to ensure all test sessions are properly closed even if the agent crashes","I need to track which sessions are currently active and their resource usage","I want to set a timeout so long-running sessions don't consume my BrowserStack quota"],"best_for":["Long-running agent workflows that spawn multiple sessions","Teams with limited BrowserStack concurrency who need strict resource management","Production automation where session leaks could cause cost overruns"],"limitations":["No automatic session recovery if the MCP server crashes — sessions remain active on BrowserStack until timeout","Session timeout is enforced server-side by BrowserStack (typically 30 min idle); MCP server cannot extend beyond that","No built-in session pooling or reuse — each new test creates a fresh session","Cleanup is best-effort; if MCP process is killed forcefully, cleanup hooks may not run"],"requires":["BrowserStack API key with session management permissions","Proper error handling in client code to call session termination"],"input_types":["session ID","optional timeout duration"],"output_types":["session status (active, terminated, timed out)","resource usage metadata (duration, commands executed)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-browserstackmcp-server__cap_5","uri":"capability://automation.workflow.multi.session.parallel.test.execution.coordination","name":"multi-session parallel test execution coordination","description":"Allows MCP clients to spawn and coordinate multiple concurrent BrowserStack sessions, with built-in concurrency limiting to respect BrowserStack account limits. Implements a session queue and rate limiter that prevents exceeding the account's concurrent session cap, with optional load balancing across regions if available.","intents":["I want to run tests on 5 different devices in parallel without exceeding my BrowserStack concurrency limit","I need to distribute test load across multiple regions to reduce latency","I want to queue up 20 test jobs and have them execute as sessions become available"],"best_for":["Large-scale test automation requiring parallel execution across many devices","Teams with limited concurrency who need intelligent queuing","CI/CD pipelines that need to maximize throughput within resource constraints"],"limitations":["Concurrency limit must be manually configured based on BrowserStack plan; no automatic detection","Queue is in-memory only — if MCP server restarts, queued jobs are lost","No priority queuing — jobs are executed FIFO; no way to prioritize critical tests","Region-based load balancing requires additional configuration and may increase latency if regions are geographically distant"],"requires":["BrowserStack account with concurrent session limit known in advance","Configuration of max concurrent sessions in MCP server settings"],"input_types":["array of session configuration objects","optional concurrency limit override"],"output_types":["array of session IDs","queue status (pending, active, completed)","execution timeline and concurrency metrics"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-browserstackmcp-server__cap_6","uri":"capability://data.processing.analysis.test.result.aggregation.and.reporting","name":"test result aggregation and reporting","description":"Collects test execution results (pass/fail, screenshots, logs, timing) from multiple sessions and formats them into structured reports. Implements result aggregation with optional filtering, sorting, and export to common formats (JSON, HTML, JUnit XML). Includes metadata enrichment with device info, execution timestamps, and error categorization.","intents":["I want to generate a test report showing which devices passed and which failed","I need to export test results in JUnit format for CI/CD integration","I want to aggregate screenshots and logs from 10 parallel sessions into a single report"],"best_for":["Teams integrating BrowserStack testing into CI/CD pipelines","QA teams that need structured test reports for stakeholders","Automated testing workflows that require result persistence and analysis"],"limitations":["Report generation is synchronous and may be slow for large result sets (100+ sessions)","No built-in result storage — reports are generated on-demand and not persisted","HTML report generation requires external template library; JSON/XML are native","Screenshots in reports are embedded as base64, making HTML files very large (10MB+ for 50+ screenshots)"],"requires":["Completed test sessions with result data","Optional: external template library for HTML generation"],"input_types":["array of test result objects","report format specification (json, xml, html)","optional filter and sort criteria"],"output_types":["formatted report (JSON, XML, HTML string)","report file path (if saved to disk)","summary statistics (pass rate, failure breakdown)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-browserstackmcp-server__cap_7","uri":"capability://automation.workflow.network.condition.simulation.and.throttling","name":"network condition simulation and throttling","description":"Provides MCP tools to simulate network conditions (latency, bandwidth limits, packet loss) during test execution. Implements network throttling via BrowserStack's network simulation API, allowing tests to validate application behavior under poor connectivity. Includes preset profiles (3G, 4G, WiFi) and custom throttling parameters.","intents":["I want to test my app's performance on a slow 3G connection","I need to simulate high latency (500ms) to see how the UI handles slow responses","I want to test offline behavior by simulating complete network loss"],"best_for":["Performance testing teams validating app behavior under poor connectivity","Mobile app developers testing on realistic network conditions","Teams building resilient applications that must handle network failures"],"limitations":["Network simulation is approximate and may not perfectly match real-world conditions","Not all BrowserStack devices support network throttling (older devices may not have this capability)","Throttling parameters are applied globally to the session; cannot throttle specific requests","Offline simulation is not true offline — it simulates zero bandwidth, but some cached resources may still load"],"requires":["Active BrowserStack session on a device that supports network simulation","BrowserStack plan that includes network throttling feature"],"input_types":["network profile name (3g, 4g, wifi, custom)","custom parameters (latency ms, download Mbps, upload Mbps, packet loss %)"],"output_types":["confirmation of throttling applied","actual network parameters in effect","performance metrics (load time, resource timing)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-browserstackmcp-server__cap_8","uri":"capability://automation.workflow.geolocation.and.locale.testing","name":"geolocation and locale testing","description":"Provides MCP tools to set geolocation and locale/language settings for test sessions, enabling testing of location-aware features and localized content. Implements geolocation spoofing via WebDriver capabilities and locale configuration at the OS level, with support for testing location permissions and GPS accuracy.","intents":["I want to test my app's location-based features from different countries","I need to verify that the UI correctly displays in different languages and locales","I want to test how the app handles location permission prompts"],"best_for":["Global app developers testing localization and location features","Teams validating geo-fencing and location-based services","QA teams testing multi-language support across regions"],"limitations":["Geolocation spoofing may not work with all location APIs (some apps use IP-based geolocation which cannot be spoofed)","Locale changes may require session restart on some devices","GPS accuracy simulation is limited; cannot simulate realistic GPS drift or signal loss","Some apps detect spoofed locations and may behave differently"],"requires":["Active BrowserStack session","Device support for geolocation and locale configuration"],"input_types":["latitude and longitude (for geolocation)","locale string (e.g., 'en-US', 'fr-FR')","optional timezone"],"output_types":["confirmation of geolocation/locale set","actual device settings applied","location permission status"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-browserstackmcp-server__cap_9","uri":"capability://safety.moderation.accessibility.testing.and.wcag.compliance.checking","name":"accessibility testing and wcag compliance checking","description":"Provides MCP tools to run accessibility audits on remote sessions using tools like Axe or WAVE, checking for WCAG 2.1 compliance issues. Implements accessibility scanning by injecting audit libraries into the page and collecting results, with categorization of issues by severity and WCAG criterion. Includes integration with Claude for natural language interpretation of accessibility findings.","intents":["I want to automatically check my web app for accessibility issues","I need to verify WCAG 2.1 AA compliance across multiple pages","I want Claude to explain accessibility violations in plain language and suggest fixes"],"best_for":["Teams building accessible web applications","QA teams responsible for WCAG compliance verification","Developers integrating accessibility testing into CI/CD"],"limitations":["Automated accessibility testing catches ~30-40% of actual accessibility issues; manual testing still required","Some accessibility issues require user testing (e.g., screen reader compatibility) and cannot be automated","Audit libraries (Axe, WAVE) may have false positives or false negatives","Dynamic content and SPAs may require custom audit configuration"],"requires":["Active BrowserStack session","Accessibility audit library (Axe, WAVE) available for injection","Claude or other LLM for interpreting results (optional)"],"input_types":["page URL or selector","optional audit configuration (standards, rules to check)"],"output_types":["array of accessibility violations","categorized by severity (critical, serious, moderate, minor)","WCAG criterion references","remediation suggestions (from audit library)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["BrowserStack account with valid API key and secret","MCP-compatible client (Claude Desktop 0.1.0+, or custom MCP host)","Node.js 14+ for running the MCP server","Network access to BrowserStack API endpoints (api.browserstack.com)","BrowserStack API key with read permissions","Network access to BrowserStack device catalog endpoint","Active BrowserStack session","Browser support for Performance API (all modern browsers)","Optional: BrowserStack performance monitoring subscription","Browser support for WebDriver logging (all modern browsers)"],"failure_modes":["Requires active BrowserStack subscription with API credentials; free tier has limited concurrent sessions","Session latency includes network round-trip to BrowserStack cloud (~500ms-2s per command)","No local browser fallback — all execution happens remotely, cannot test localhost without tunnel setup","MCP protocol overhead adds ~100-200ms per tool invocation compared to direct REST API calls","Device list is cached and may be stale if new devices are added to BrowserStack (requires server restart or cache invalidation)","Filtering is performed client-side after fetching full catalog; no server-side query optimization for large result sets","Does not include real-time device availability status (which devices are currently free vs. in use)","Performance metrics vary based on network conditions, device hardware, and browser caching; results may not be reproducible","Core Web Vitals require real user interaction; synthetic testing may not capture actual user experience","Memory profiling is limited to what WebDriver exposes; detailed heap snapshots require additional tools","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.41428802543557747,"quality":0.34,"ecosystem":0.42,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.903Z","last_scraped_at":"2026-05-03T14:23:32.310Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":5894,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-browserstackmcp-server","compare_url":"https://unfragile.ai/compare?artifact=npm-browserstackmcp-server"}},"signature":"YX6G5mGSUQSEoh8zIABEWmJfkIw9S5IL5aB+gb1dv31IwKZFtInyS7R+cJbqph9G7NQUlnbn+iEVNzLZSvnyBA==","signedAt":"2026-06-19T17:58:48.408Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-browserstackmcp-server","artifact":"https://unfragile.ai/npm-browserstackmcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=npm-browserstackmcp-server","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}