{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github_mcp-executeautomation-mcp-playwright","slug":"mcp-executeautomation-mcp-playwright","name":"mcp-playwright","type":"mcp","url":"https://github.com/executeautomation/mcp-playwright","page_url":"https://unfragile.ai/mcp-executeautomation-mcp-playwright","categories":["mcp-servers","code-editors","app-builders"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github_mcp-executeautomation-mcp-playwright__cap_0","uri":"capability://automation.workflow.stateful.browser.automation.via.mcp","name":"stateful-browser-automation-via-mcp","description":"Launches and maintains a single persistent Playwright browser instance (Chromium, Firefox, or WebKit) across multiple MCP tool invocations, with automatic page context management and error recovery. The server implements a global browser state pattern where the browser instance persists until explicitly closed, enabling multi-step workflows where each tool call operates on the same page context without re-initialization overhead.","intents":["I want to automate a multi-step web workflow (login → navigate → extract data) without reinitializing the browser between steps","I need my AI agent to maintain browser state across multiple tool calls so it can handle complex user interactions","I want to reduce latency by keeping a single browser instance alive rather than spawning new instances per action"],"best_for":["AI agents and LLMs (Claude, Copilot) automating multi-step web workflows","Teams building browser automation agents that need persistent session state","Developers integrating Playwright automation into MCP-compatible IDEs (Claude Desktop, Cline, Cursor)"],"limitations":["Single global browser instance means concurrent requests from multiple clients will serialize or conflict — no multi-browser isolation per client","Browser state is in-memory only — no persistence across server restarts, requiring external state management for long-lived sessions","Page context is shared across all tool invocations, so one tool's navigation can affect subsequent tools' page state unexpectedly"],"requires":["Node.js 18+","Playwright 1.40+ (installed as dependency)","MCP SDK for Node.js","STDIO transport available (Claude Desktop, Cline, Cursor IDE, or custom MCP client)"],"input_types":["browser-engine-type (chromium|firefox|webkit)","launch-options (headless boolean, viewport dimensions)"],"output_types":["browser-handle (internal reference)","page-context (active page object)","status-confirmation (success/error)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-executeautomation-mcp-playwright__cap_1","uri":"capability://automation.workflow.dom.interaction.via.playwright.selectors","name":"dom-interaction-via-playwright-selectors","description":"Provides 8+ DOM interaction tools (click, fill, hover, drag, select, type, focus, blur) that use Playwright's selector engine to locate and manipulate elements. Each tool accepts CSS selectors, XPath, or Playwright's built-in locator strategies (role-based, text-based), validates element visibility and interactability before action, and returns detailed error messages if elements are not found or disabled.","intents":["I need to click a button, fill a form field, or hover over an element using natural selectors without writing complex XPath","I want my AI agent to interact with dynamic or shadow-DOM elements that CSS selectors alone can't reach","I need validation that an element is actually visible and clickable before attempting interaction, with clear error feedback"],"best_for":["LLM agents automating web forms, e-commerce checkouts, and user workflows","QA automation engineers generating test code from recorded interactions","Non-technical users recording browser actions and converting them to executable scripts"],"limitations":["Selector brittleness — if DOM structure changes, selectors may fail; no built-in selector repair or fuzzy matching","Shadow DOM and iframe traversal requires explicit frame context switching; no automatic cross-frame selector resolution","Drag-and-drop operations are limited to Playwright's drag() API — complex gesture sequences (multi-touch, pinch) not supported","No built-in wait-for-stability logic; if elements are animating or loading, interaction may fail even if element is technically visible"],"requires":["Active Playwright page context (from browser-automation capability)","Valid CSS selector, XPath, or Playwright locator string","Element must be in DOM and not hidden by CSS (display:none, visibility:hidden)"],"input_types":["selector (CSS|XPath|playwright-locator)","interaction-type (click|fill|hover|drag|select|type|focus|blur)","value (for fill/type operations)","options (modifiers like Shift, Ctrl for keyboard events)"],"output_types":["interaction-result (success|element-not-found|not-visible|not-enabled)","error-message (detailed reason for failure)","element-state (before/after screenshots or DOM snapshot)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-executeautomation-mcp-playwright__cap_10","uri":"capability://automation.workflow.form.interaction.and.select.dropdown.handling","name":"form-interaction-and-select-dropdown-handling","description":"Provides playwright_fill, playwright_select, and playwright_check tools that handle form input, dropdown selection, and checkbox/radio button toggling. The tools use Playwright's fill() for text inputs, selectOption() for elements — custom dropdown components (built with divs, React, Vue) require click-based interaction","Fill tool clears the field before typing — no support for appending text or partial field updates","Check/uncheck tools assume standard HTML checkbox/radio elements — custom toggle components may not work","No form validation or error detection — tool doesn't check if field accepts the input value or if validation errors occur","No support for multi-select dropdowns or complex form patterns (date pickers, file uploads, rich text editors)"],"requires":["Active Playwright page context","Valid element selector for form field","For fill: text value to enter","For select: option value or label to select","For check/uncheck: element must be a checkbox or radio button"],"input_types":["selector (CSS|XPath|playwright-locator)","value (for fill tool: text to enter)","option (for select tool: option value or label)","force (boolean: force interaction even if element is disabled)"],"output_types":["interaction-status (success|element-not-found|invalid-element-type|not-visible)","error-message (if interaction failed)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-executeautomation-mcp-playwright__cap_11","uri":"capability://automation.workflow.page.context.and.frame.switching","name":"page-context-and-frame-switching","description":"Provides playwright_switch_frame and playwright_get_frames tools that manage frame and iframe context switching. The tools use Playwright's frame() API to select frames by name, URL, or index, and return frame information (name, URL, parent frame). Enables automation of pages with iframes, nested frames, and cross-origin frames (if allowed by CORS).","intents":["I need to interact with elements inside iframes or nested frames without losing context","I want to switch between multiple frames on the same page and perform actions in each frame","I need to detect and list all frames on a page to understand its structure"],"best_for":["LLM agents automating pages with iframes (e.g., payment gateways, embedded widgets, third-party content)","QA engineers testing multi-frame applications and cross-frame interactions","Web scraping agents that need to extract content from iframes"],"limitations":["Cross-origin iframes are not accessible due to browser security restrictions — no way to interact with frames from different domains","Frame selection by URL or name is fragile — if frame attributes change, selectors may fail","No automatic frame detection or traversal — caller must know frame names or indices to switch","Frame context is per-page only — switching frames doesn't affect other pages or browser tabs","No support for shadow DOM or web components that encapsulate content like iframes"],"requires":["Active Playwright page context","Frame name, URL, or index to switch to","Frame must be same-origin (CORS-compliant) for content access"],"input_types":["frame-selector (name|url|index)","frame-value (frame name, URL pattern, or numeric index)"],"output_types":["frame-info (name, URL, parent frame)","frames-list (array of all frames on page)","switch-status (success|frame-not-found)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-executeautomation-mcp-playwright__cap_12","uri":"capability://safety.moderation.response.validation.and.assertion.tools","name":"response-validation-and-assertion-tools","description":"Provides expect_response and assert_response tools that validate HTTP responses from API calls or page navigation. The tools check response status codes, headers, body content (JSON schema, text patterns), and return validation results (pass/fail) with detailed error messages. Useful for verifying API contracts and detecting unexpected responses during automation.","intents":["I need to verify that an API response has the expected status code and JSON structure before proceeding","I want to assert that a page navigation returned a 200 status, not a 404 or 500 error","I need to validate response headers (Content-Type, Set-Cookie) to ensure the server is behaving correctly"],"best_for":["QA engineers testing API contracts and response validation","LLM agents that need to detect API errors and decide whether to retry or abort","Full-stack testing frameworks that validate both API and UI behavior"],"limitations":["JSON schema validation is basic — no support for complex schemas or custom validation rules","Response body validation is string-based — no support for binary content or large payloads","Assertion failures are reported but don't stop execution — caller must check assertion results and decide next action","No built-in retry logic — failed assertions don't trigger automatic retries","No response comparison or diff — can't compare current response to previous response or expected baseline"],"requires":["Recent HTTP response from API call or page navigation","Expected status code, headers, or body content to validate against"],"input_types":["response-object (from API call or navigation)","expected-status (HTTP status code)","expected-headers (key-value pairs)","expected-body (JSON object or text pattern)"],"output_types":["validation-result (pass|fail)","error-message (if validation failed)","actual-vs-expected (comparison of actual and expected values)"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-executeautomation-mcp-playwright__cap_13","uri":"capability://image.visual.screenshot.and.pdf.export.with.viewport.control","name":"screenshot-and-pdf-export-with-viewport-control","description":"Provides playwright_screenshot and playwright_save_as_pdf tools that capture page visuals in PNG or PDF format with optional viewport and full-page rendering. The tools accept options for full-page capture, viewport dimensions, clip regions, and quality settings. Screenshots are returned as base64-encoded PNG, and PDFs are returned as binary files. Useful for visual testing, documentation, and evidence collection.","intents":["I need to capture a screenshot of the current page state for debugging or documentation","I want to export a page as PDF for archival or sharing with non-technical stakeholders","I need to capture specific regions of a page (clip) without capturing the entire viewport"],"best_for":["QA engineers collecting visual evidence for test reports","LLM agents that need visual feedback to understand page state","Documentation and tutorial generation tools that need page screenshots"],"limitations":["Screenshots capture only the rendered page — dynamic content loaded via infinite scroll is not captured unless scrolled into view","PDF generation is a full-page render — very long pages may produce large files; no built-in pagination or section-based splitting","Base64 encoding of large screenshots increases token usage in LLM contexts — no streaming or chunked image transfer","Clip region is viewport-relative — no support for capturing elements by selector or absolute page coordinates","No image compression or quality control — PNG files are uncompressed, resulting in large file sizes"],"requires":["Active Playwright page context","Page must be fully loaded (no automatic wait-for-load logic)"],"input_types":["full-page (boolean: capture entire page or viewport only)","clip (object: x, y, width, height for region capture)","quality (for PNG: 0-100, default 100)","omit-background (boolean: transparent background for PNG)"],"output_types":["image (PNG as base64 string)","pdf (PDF as binary or base64)","file-size (bytes)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-executeautomation-mcp-playwright__cap_2","uri":"capability://data.processing.analysis.page.content.extraction.and.screenshot.capture","name":"page-content-extraction-and-screenshot-capture","description":"Extracts visible text, HTML structure, and accessibility tree from the current page via playwright_get_visible_text and playwright_get_page_content tools, and captures full-page or viewport screenshots as PNG/PDF via playwright_screenshot and playwright_save_as_pdf. The extraction logic uses Playwright's textContent() and innerHTML() APIs with optional filtering to return only visible, non-hidden elements.","intents":["I need to read all visible text from a page to understand its current state and make decisions about next actions","I want to capture a screenshot of the page for debugging, documentation, or visual verification","I need to extract the DOM structure or accessibility tree to understand page layout and element relationships"],"best_for":["LLM agents that need visual or textual feedback to decide next steps in a workflow","Test automation engineers generating test evidence (screenshots, PDFs) for reports","Accessibility auditing tools that need to analyze page structure and ARIA attributes"],"limitations":["Text extraction returns only visible text — hidden elements (display:none, aria-hidden) are excluded, so agents cannot see off-screen or collapsed content","Screenshots capture only the current viewport or full page height; dynamic content loaded via infinite scroll is not captured unless scrolled into view first","PDF generation is a full-page render — very long pages may produce large files; no built-in pagination or section-based PDF splitting","No OCR or image-to-text conversion — screenshots are raw PNG/PDF, not searchable text"],"requires":["Active Playwright page context","Page must be fully loaded (no automatic wait-for-load logic; caller must ensure page is ready)","For PDF: page must fit within reasonable memory bounds (very large pages may timeout)"],"input_types":["extraction-type (visible-text|page-content|accessibility-tree)","screenshot-options (full-page boolean, viewport-only boolean, format: png|pdf)","filter-options (optional: exclude-selectors, include-only-selectors)"],"output_types":["text (plain text string)","html (DOM structure as HTML string)","accessibility-tree (ARIA roles and labels)","image (PNG base64 or binary)","pdf (PDF binary)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-executeautomation-mcp-playwright__cap_3","uri":"capability://automation.workflow.browser.navigation.and.history.control","name":"browser-navigation-and-history-control","description":"Provides playwright_navigate, playwright_go_back, playwright_go_forward, and playwright_reload tools that control page navigation using Playwright's page.goto(), page.goBack(), page.goForward(), and page.reload() APIs. Each tool accepts URLs, handles redirects and timeouts, and returns navigation status (success, timeout, network error) with optional wait-for-load-state configuration (load, domcontentloaded, networkidle).","intents":["I need to navigate to a URL and wait for the page to fully load before proceeding with interactions","I want to go back or forward in browser history to revisit previous pages without re-entering URLs","I need to reload the current page to refresh data or recover from stale state"],"best_for":["LLM agents automating multi-page workflows (search → results → detail → checkout)","Web scraping agents that need to navigate between pages and extract data","Testing frameworks that need to simulate user navigation patterns"],"limitations":["No automatic wait-for-element logic — caller must use separate playwright_wait_for_selector tool if waiting for specific elements after navigation","Redirect chains are followed automatically, but final URL may differ from requested URL; no built-in redirect tracking or history inspection","History navigation (back/forward) fails silently if no history exists — no error returned, just stays on current page","Timeout handling is fixed per tool invocation — no adaptive timeout based on page complexity or network conditions"],"requires":["Active Playwright page context","Valid URL (for navigate tool) or existing navigation history (for back/forward tools)","Network connectivity to target URL"],"input_types":["url (for navigate tool)","wait-until (load|domcontentloaded|networkidle|commit)","timeout-ms (milliseconds, default 30000)"],"output_types":["navigation-status (success|timeout|network-error|navigation-aborted)","final-url (actual URL after redirects)","page-title (document.title)","status-code (HTTP status if available)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-executeautomation-mcp-playwright__cap_4","uri":"capability://tool.use.integration.rest.api.testing.with.request.context","name":"rest-api-testing-with-request-context","description":"Provides 5 HTTP method tools (playwright_api_get, playwright_api_post, playwright_api_put, playwright_api_patch, playwright_api_delete) that create APIRequestContext instances on-demand to execute REST requests. Each tool accepts URL, headers, body, authentication (Bearer token, Basic auth), query parameters, and returns response status, headers, and body (JSON or text) with optional response validation via expect_response and assert_response tools.","intents":["I need to test REST API endpoints directly without going through the browser UI","I want to set up API state (create test data, authenticate) before browser automation begins","I need to validate API responses (status code, JSON schema, header values) as part of my automation workflow"],"best_for":["QA engineers testing full-stack workflows (API setup → browser interaction → API verification)","LLM agents that need to interact with both REST APIs and web UIs in the same workflow","API testing frameworks that want to leverage Playwright's request context for cookie/session management"],"limitations":["No built-in request retry logic or exponential backoff — failed requests fail immediately without retry","Response body is returned as raw text or JSON; no automatic schema validation or type coercion","Cookie and session management is automatic but opaque — no direct access to cookie jar or session state inspection","No request/response logging or HAR file generation — debugging failed requests requires manual inspection","Large response bodies (>10MB) may cause memory issues; no streaming or chunked response handling"],"requires":["Valid HTTP URL","API key or authentication credentials (if endpoint requires auth)","Network connectivity to API endpoint"],"input_types":["url (HTTP/HTTPS endpoint)","headers (key-value pairs)","body (JSON object or form data)","auth (Bearer token, Basic auth, or custom header)","query-params (URL query string parameters)","timeout-ms (milliseconds)"],"output_types":["status-code (HTTP status)","headers (response headers as key-value pairs)","body (response body as JSON or text)","ok (boolean, true if status 200-299)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-executeautomation-mcp-playwright__cap_5","uri":"capability://automation.workflow.browser.console.monitoring.and.logging","name":"browser-console-monitoring-and-logging","description":"Captures browser console messages (log, warn, error, debug) via playwright_console_logs tool using Playwright's page.on('console') event listener. The ConsoleLogsTool registers a message handler that buffers console messages in memory and returns them as structured objects with message type, text content, and optional stack traces. Useful for debugging JavaScript errors and monitoring application behavior during automation.","intents":["I need to see JavaScript errors and warnings that occur during automation to debug page behavior","I want to capture application logs (console.log statements) to verify that the page is behaving as expected","I need to detect when JavaScript errors occur and fail the automation workflow if critical errors are logged"],"best_for":["QA engineers debugging flaky automation tests by inspecting console errors","LLM agents that need to detect JavaScript errors and decide whether to retry or abort","Full-stack testing frameworks that want to correlate browser console logs with API responses"],"limitations":["Console messages are buffered in memory only — no persistence across page reloads or browser restarts","Large volumes of console messages (>10k per page) may cause memory bloat; no automatic message pruning or rotation","Stack traces are captured only if the browser includes them in the console message — source maps are not resolved","No filtering or log-level configuration — all console messages (log, warn, error, debug) are captured equally","Messages from iframes or web workers may not be captured depending on Playwright version and browser engine"],"requires":["Active Playwright page context","Console logging must be enabled in the browser (default behavior)"],"input_types":["clear-buffer (boolean, optional: clear previous messages before returning)"],"output_types":["console-messages (array of objects with type, text, location, args)","message-type (log|warn|error|debug)","timestamp (when message was logged)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-executeautomation-mcp-playwright__cap_6","uri":"capability://code.generation.editing.action.recording.and.codegen.session.management","name":"action-recording-and-codegen-session-management","description":"Provides start_codegen_session, end_codegen_session, get_codegen_session, and clear_codegen_session tools that manage ActionRecorder instances. When a codegen session is active, all browser tool invocations (click, fill, navigate, etc.) are recorded as action objects. When end_codegen_session is called, the PlaywrightGenerator converts recorded actions into executable Playwright test code (JavaScript or TypeScript) that can be saved and run independently.","intents":["I want to record a series of browser interactions and automatically generate test code that I can run later","I need to convert manual browser actions into executable automation scripts without writing code from scratch","I want to generate test code that other team members can understand and maintain"],"best_for":["Non-technical QA engineers who want to record tests without writing code","Test automation engineers who want to generate boilerplate test code and then refine it","LLM agents that need to generate executable test scripts from recorded interactions"],"limitations":["Generated code is basic boilerplate — no assertions, error handling, or page object patterns; requires manual refinement","Recording captures only tool invocations, not the reasoning or intent behind actions — generated code lacks comments explaining why actions were taken","Complex interactions (multi-step drag-and-drop, keyboard shortcuts, file uploads) may not record accurately or may generate incorrect code","Generated code is Playwright-specific — no support for generating Selenium, Cypress, or other framework code","No built-in code optimization — generated code may be verbose or inefficient (e.g., multiple selectors for the same element)"],"requires":["Active Playwright page context","Browser tools must be invoked while codegen session is active (start_codegen_session called first)"],"input_types":["session-name (optional: identifier for the recording session)","language (javascript|typescript, default: javascript)"],"output_types":["generated-code (Playwright test script as string)","action-list (array of recorded actions with selectors and values)","code-format (javascript or typescript)"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-executeautomation-mcp-playwright__cap_7","uri":"capability://tool.use.integration.mcp.protocol.tool.dispatch.and.request.handling","name":"mcp-protocol-tool-dispatch-and-request-handling","description":"Implements the Model Context Protocol (MCP) server that exposes 36 tools (27 browser, 5 API, 4 codegen) as MCP resources. The server receives tool invocation requests via STDIO transport, routes them through requestHandler.ts and toolHandler.ts, executes the appropriate tool via the tool's execute(args, context) method, and returns ToolResponse objects with result or error. Each tool is registered with JSON schema describing parameters and return types, enabling MCP clients (Claude Desktop, Cline, Cursor) to discover and invoke tools with type safety.","intents":["I want to integrate Playwright automation into my LLM agent (Claude, Copilot) without writing custom tool bindings","I need my IDE (Cursor, Cline) to have access to browser automation tools that work seamlessly with AI code generation","I want to expose browser and API testing capabilities to multiple MCP clients without duplicating tool implementations"],"best_for":["LLM application developers building agents that need browser automation (Claude Desktop, Cline, Cursor)","Teams standardizing on MCP for tool integration across multiple AI clients","Developers building custom MCP clients that need Playwright automation capabilities"],"limitations":["STDIO transport is synchronous — tool invocations block until completion; no async/await support for long-running operations","Tool schema is static — no dynamic tool registration or runtime schema updates; adding new tools requires server restart","Error handling is tool-level only — no built-in retry logic, circuit breakers, or graceful degradation if tools fail","No authentication or authorization — all tools are available to any MCP client that connects; no per-client permission control","Tool invocation context is minimal — no access to previous tool results or conversation history; each tool call is isolated"],"requires":["Node.js 18+","MCP SDK for Node.js (@modelcontextprotocol/sdk)","MCP client that supports STDIO transport (Claude Desktop, Cline, Cursor, or custom client)","Playwright 1.40+ installed"],"input_types":["tool-name (string, e.g., 'playwright_click')","tool-arguments (JSON object matching tool schema)","mcp-request (JSON-RPC 2.0 request with method 'tools/call')"],"output_types":["tool-response (JSON object with content array, isError boolean)","result (tool-specific output, e.g., screenshot base64, text content)","error (error message and stack trace if tool fails)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-executeautomation-mcp-playwright__cap_8","uri":"capability://automation.workflow.element.wait.and.visibility.polling","name":"element-wait-and-visibility-polling","description":"Provides playwright_wait_for_selector and playwright_wait_for_navigation tools that poll for element visibility or navigation completion using Playwright's waitForSelector() and waitForNavigation() APIs. The tools accept CSS selectors, XPath, or Playwright locators, and timeout values (default 30s), and return success/timeout status. Useful for handling dynamic content loading, AJAX requests, and asynchronous page updates.","intents":["I need to wait for a dynamically-loaded element to appear before interacting with it","I want to wait for a page navigation to complete after clicking a link, without hardcoding sleep delays","I need to handle pages with slow network or JavaScript that loads content asynchronously"],"best_for":["LLM agents automating AJAX-heavy or single-page applications (SPAs) with dynamic content","QA engineers writing robust tests that don't rely on hardcoded sleep() delays","Web scraping agents that need to wait for JavaScript-rendered content before extraction"],"limitations":["Timeout is fixed per tool invocation — no adaptive timeout based on page load time or network conditions","Polling is element-level only — no support for waiting for multiple elements or complex conditions (e.g., 'wait for element A OR element B')","No visibility threshold configuration — element is considered visible if any part is in viewport; no support for 'wait for 80% visible'","Navigation wait is URL-based only — no support for waiting for specific page state or content changes after navigation","Timeout errors are generic — no information about why wait failed (element never appeared vs. timeout reached)"],"requires":["Active Playwright page context","Valid CSS selector, XPath, or Playwright locator string","Timeout value in milliseconds (default 30000)"],"input_types":["selector (CSS|XPath|playwright-locator)","timeout-ms (milliseconds, default 30000)","state (for wait-for-selector: visible|hidden|attached|detached)"],"output_types":["wait-status (success|timeout|element-not-found)","elapsed-time (milliseconds waited)","final-state (element visibility state when wait completed)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-executeautomation-mcp-playwright__cap_9","uri":"capability://automation.workflow.keyboard.and.mouse.event.simulation","name":"keyboard-and-mouse-event-simulation","description":"Provides playwright_type, playwright_press, playwright_hover, and playwright_drag tools that simulate keyboard and mouse events using Playwright's type(), press(), hover(), and drag() APIs. The tools accept element selectors, keyboard input strings, modifier keys (Shift, Ctrl, Alt, Meta), and drag source/target coordinates. Useful for complex interactions like keyboard shortcuts, form filling with special characters, and drag-and-drop operations.","intents":["I need to type text with special characters or keyboard shortcuts (Ctrl+A, Shift+Tab) that click-based interaction can't handle","I want to simulate mouse hover effects that trigger tooltips or dropdown menus","I need to perform drag-and-drop operations on elements like kanban boards or file uploads"],"best_for":["LLM agents automating complex form interactions with keyboard shortcuts and special input","QA engineers testing keyboard accessibility and focus management","Web scraping agents that need to interact with drag-and-drop interfaces"],"limitations":["Keyboard input is character-by-character — no support for complex input methods (IME, voice input, paste from clipboard)","Modifier key combinations are limited to Shift, Ctrl, Alt, Meta — no support for custom key sequences or macros","Drag-and-drop is limited to Playwright's drag() API — no support for multi-touch gestures, pinch, or swipe","Mouse events are synthetic — no support for real mouse movement or hover timing; hover is instantaneous","No keyboard repeat or hold-down timing — key presses are instantaneous, not simulating real user typing speed"],"requires":["Active Playwright page context","Valid element selector for keyboard/mouse target","For drag: source and target element selectors or coordinates"],"input_types":["selector (CSS|XPath|playwright-locator)","text (for type tool)","key (for press tool: Enter, Tab, Escape, etc.)","modifiers (array of Shift|Ctrl|Alt|Meta)","source-selector (for drag source)","target-selector (for drag target)"],"output_types":["interaction-status (success|element-not-found|not-visible)","error-message (if interaction failed)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":49,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 18+","Playwright 1.40+ (installed as dependency)","MCP SDK for Node.js","STDIO transport available (Claude Desktop, Cline, Cursor IDE, or custom MCP client)","Active Playwright page context (from browser-automation capability)","Valid CSS selector, XPath, or Playwright locator string","Element must be in DOM and not hidden by CSS (display:none, visibility:hidden)","Active Playwright page context","Valid element selector for form field","For fill: text value to enter"],"failure_modes":["Single global browser instance means concurrent requests from multiple clients will serialize or conflict — no multi-browser isolation per client","Browser state is in-memory only — no persistence across server restarts, requiring external state management for long-lived sessions","Page context is shared across all tool invocations, so one tool's navigation can affect subsequent tools' page state unexpectedly","Selector brittleness — if DOM structure changes, selectors may fail; no built-in selector repair or fuzzy matching","Shadow DOM and iframe traversal requires explicit frame context switching; no automatic cross-frame selector resolution","Drag-and-drop operations are limited to Playwright's drag() API — complex gesture sequences (multi-touch, pinch) not supported","No built-in wait-for-stability logic; if elements are animating or loading, interaction may fail even if element is technically visible","Select tool works only with standard HTML