{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github_mcp-microsoft-playwright-mcp","slug":"mcp-microsoft-playwright-mcp","name":"playwright-mcp","type":"mcp","url":"https://github.com/microsoft/playwright-mcp","page_url":"https://unfragile.ai/mcp-microsoft-playwright-mcp","categories":["mcp-servers"],"tags":["mcp","playwright"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github_mcp-microsoft-playwright-mcp__cap_0","uri":"capability://data.processing.analysis.accessibility.tree.based.page.state.capture","name":"accessibility-tree-based page state capture","description":"Extracts structured, deterministic page snapshots using Playwright's accessibility tree API instead of vision-based screenshot analysis. The server traverses the DOM accessibility tree to generate JSON representations of page elements, their roles, states, and relationships, enabling LLMs to reason about page structure without requiring vision model inference. This approach provides deterministic, text-based page understanding that avoids the latency and cost of vision models.","intents":["I need my LLM agent to understand page structure without sending screenshots to a vision model","I want deterministic, reproducible page state representations for testing and debugging","I need fast page analysis without the overhead of image encoding/decoding"],"best_for":["LLM agents performing web automation tasks","Teams building accessibility-first browser automation","Developers avoiding vision model dependencies and costs"],"limitations":["Cannot capture visual styling, colors, or layout information that isn't exposed in accessibility tree","Relies on proper semantic HTML and ARIA attributes — poorly marked-up pages may lack detail","Dynamic visual content (animations, canvas rendering) not represented in accessibility tree"],"requires":["Playwright 1.40+","Browser with accessibility tree support (Chromium, Firefox, WebKit)"],"input_types":["browser page object","DOM selector"],"output_types":["JSON accessibility tree","structured element metadata"],"categories":["data-processing-analysis","browser-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-microsoft-playwright-mcp__cap_1","uri":"capability://tool.use.integration.mcp.compliant.tool.registration.and.invocation","name":"mcp-compliant tool registration and invocation","description":"Implements the Model Context Protocol specification by registering ~70 tool handlers that translate MCP callTool requests into Playwright API calls. The server uses @modelcontextprotocol/sdk to define tool schemas (name, description, input schema) and maps incoming MCP requests to corresponding Playwright methods, with support for async execution and structured error handling. This enables any MCP-compatible client (Claude Desktop, VS Code, Cursor, Windsurf) to invoke browser automation through a standardized protocol.","intents":["I want my LLM client to control a browser through a standardized protocol without custom integration code","I need to expose Playwright capabilities to multiple MCP clients without reimplementation","I want to build an agent that can invoke browser actions alongside other MCP tools"],"best_for":["MCP client developers integrating browser automation","Teams building multi-tool LLM agents with standardized tool interfaces","Organizations standardizing on MCP for tool composition"],"limitations":["Limited to tools explicitly registered in the server (~70 tools) — custom Playwright APIs require server modification","Tool invocation latency includes MCP serialization/deserialization overhead (~5-50ms per call)","No built-in tool caching or batching — each MCP call is independent"],"requires":["MCP client compatible with stdio, HTTP/SSE, or WebSocket transport","Node.js 18+","@modelcontextprotocol/sdk 0.5.0+"],"input_types":["MCP tool call with JSON input schema"],"output_types":["MCP tool result with structured JSON response","error messages with stack traces"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-microsoft-playwright-mcp__cap_10","uri":"capability://tool.use.integration.capability.gated.tool.availability","name":"capability-gated tool availability","description":"Implements capability gating where certain tools are only available when specific browser features are enabled or when running in particular modes. The server dynamically registers tools based on runtime capabilities (e.g., CDP relay tools only available in extension mode, certain tools disabled in headless mode). This prevents tool invocation errors by only exposing tools that can actually execute in the current environment.","intents":["I want to know which tools are available in my current deployment mode","I need to avoid tool calls that won't work in headless mode","I want the server to automatically disable tools that require unavailable features"],"best_for":["Multi-mode deployments (standalone and extension)","Environments with varying browser capabilities","Agents that need to adapt tool usage to available capabilities"],"limitations":["Tool availability is determined at server startup — dynamic capability changes not reflected","No graceful degradation — unavailable tools are completely hidden rather than returning partial results","Capability detection may be inaccurate for edge cases or custom browser builds","No tool availability query API — clients must infer from tool list"],"requires":["Server must detect capabilities at startup","Browser must support capability detection APIs"],"input_types":["capability name"],"output_types":["boolean indicating tool availability","list of available tools"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-microsoft-playwright-mcp__cap_11","uri":"capability://automation.workflow.error.handling.and.detailed.failure.reporting","name":"error handling and detailed failure reporting","description":"Provides structured error reporting with stack traces, error codes, and contextual information for failed operations. The server catches exceptions from Playwright API calls and transforms them into MCP-compatible error responses with actionable debugging information. Error handling includes timeout errors, element not found errors, navigation failures, and JavaScript execution errors.","intents":["I want detailed error information when automation fails","I need to distinguish between different error types (timeout, element not found, etc.)","I want stack traces and contextual information for debugging"],"best_for":["Debugging automation failures","Building error recovery logic in agents","Monitoring and alerting on automation errors"],"limitations":["Error messages may contain sensitive information (URLs, page content) — no built-in sanitization","Stack traces can be verbose and difficult to parse programmatically","Some Playwright errors are generic and don't provide specific failure reasons","Error context is limited to the failed operation — no cross-operation error correlation"],"requires":["Failed operation must generate exception","MCP client must support error response parsing"],"input_types":["any tool call that fails"],"output_types":["error code","error message","stack trace","contextual information"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-microsoft-playwright-mcp__cap_12","uri":"capability://tool.use.integration.cdp.relay.and.extension.bridge.protocol","name":"cdp relay and extension bridge protocol","description":"Implements Chrome DevTools Protocol relay that intercepts and forwards CDP messages between the browser extension and the MCP server. The extension bridge uses WebSocket to communicate with the server, translating MCP tool calls into CDP commands and CDP responses back into MCP results. This enables control of existing browser tabs without launching new processes, with the extension acting as a protocol bridge.","intents":["I want to control an already-open browser tab without launching a new browser","I need to automate a browser session that requires user interaction","I want to connect to a browser with existing authentication state"],"best_for":["Scenarios with existing browser sessions","User-interactive automation workflows","Development and testing with persistent browser state"],"limitations":["CDP relay adds 50-200ms latency per command compared to direct Playwright control","Extension mode requires manual installation of browser extension","Limited to Chrome and Edge — no Firefox or Safari support","Extension must be running and connected — connection drops require manual reconnection"],"requires":["Chrome or Edge browser","Browser extension installed and enabled","WebSocket connectivity between extension and server"],"input_types":["CDP command","extension connection parameters"],"output_types":["CDP response","connection status"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-microsoft-playwright-mcp__cap_13","uri":"capability://automation.workflow.multi.architecture.docker.deployment","name":"multi-architecture docker deployment","description":"Provides containerized MCP server distribution through Azure Container Registry (mcr.microsoft.com/playwright/mcp) with multi-architecture support (amd64/arm64). The Docker image includes Node.js runtime, all Playwright browser binaries, and the MCP server CLI, enabling single-command deployment without local dependency installation. The image supports both standalone and extension bridge modes through environment configuration.","intents":["I want to deploy the MCP server in a container without managing dependencies","I need to run the server on both x86 and ARM architectures","I want a production-ready Docker image with all dependencies included"],"best_for":["Containerized deployment environments (Kubernetes, Docker Compose)","Cloud deployments requiring multi-architecture support","Teams avoiding local dependency management"],"limitations":["Docker image size ~1-2GB due to included browser binaries","No Alpine Linux variant — only full Linux distribution","Browser binary downloads happen at image build time — image is not lightweight","Extension mode requires additional configuration for WebSocket connectivity through container"],"requires":["Docker runtime","Container registry access (public image)","For extension mode: network connectivity from container to browser"],"input_types":["Docker image tag","environment variables for configuration"],"output_types":["running MCP server container","exposed port for MCP communication"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-microsoft-playwright-mcp__cap_14","uri":"capability://tool.use.integration.programmatic.api.for.mcp.server.instantiation","name":"programmatic api for mcp server instantiation","description":"Exposes createConnection() function that enables programmatic instantiation of the MCP server without CLI invocation. The API allows TypeScript/JavaScript clients to create server instances with custom configuration, transport selection, and tool registration. This enables embedding the MCP server in larger applications or building custom MCP client wrappers.","intents":["I want to instantiate the MCP server programmatically from my Node.js application","I need to create custom MCP clients that embed the server","I want to configure the server at runtime without CLI arguments"],"best_for":["Node.js applications embedding MCP server","Custom MCP client implementations","Programmatic server configuration and lifecycle management"],"limitations":["API is TypeScript-only — no Python or other language bindings","No built-in server lifecycle management (graceful shutdown, health checks)","Configuration must be provided at instantiation — no runtime reconfiguration","API documentation is minimal — requires reading source code for advanced usage"],"requires":["Node.js 18+","TypeScript or JavaScript runtime","@playwright/mcp package installed"],"input_types":["server configuration object","transport type","browser options"],"output_types":["MCP server instance","connection handle"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-microsoft-playwright-mcp__cap_2","uri":"capability://automation.workflow.dual.mode.browser.control.standalone.and.extension.bridge","name":"dual-mode browser control (standalone and extension bridge)","description":"Supports two distinct execution modes: (1) Standalone Server Mode launches and manages its own browser instance via Playwright, and (2) Extension Bridge Mode connects to existing Chrome/Edge tabs via Chrome DevTools Protocol relay. The extension mode uses a Chrome extension that bridges CDP messages between the browser and the MCP server, enabling control of already-open browser sessions without launching new processes. This dual-mode architecture allows deployment flexibility — either managed browser instances or connection to user-controlled browsers.","intents":["I want to control an already-open browser tab without launching a new browser process","I need to automate a browser session that requires user interaction or existing authentication","I want to choose between managed browser instances or connecting to existing sessions"],"best_for":["Users with existing browser sessions they want to automate","Scenarios requiring user interaction alongside automation","Development workflows where browser state must persist across sessions"],"limitations":["Extension mode requires Chrome/Edge — no Firefox or Safari support","Extension mode adds CDP relay latency (~50-200ms per command) compared to direct Playwright control","Standalone mode requires browser binary download (~300-500MB) on first run","Extension mode requires manual installation of browser extension zip file"],"requires":["For standalone: Playwright browser binaries (auto-downloaded)","For extension: Chrome or Edge browser with developer mode enabled","Node.js 18+"],"input_types":["configuration object specifying mode (standalone or extension)","browser launch options or CDP endpoint URL"],"output_types":["browser context object","page object for automation"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-microsoft-playwright-mcp__cap_3","uri":"capability://tool.use.integration.multi.transport.mcp.server.deployment","name":"multi-transport mcp server deployment","description":"Abstracts transport layer to support stdio (for local process spawning), HTTP/SSE (for remote servers), and WebSocket (for extension bridge) protocols. The server implementation decouples transport from tool logic, allowing the same ~70 tool handlers to work across different deployment topologies. This enables deployment as a local CLI tool, containerized remote service, or browser extension backend without code duplication.","intents":["I want to deploy the MCP server locally via CLI and also as a remote HTTP service","I need the same tool set to work across different MCP client connection methods","I want to containerize the MCP server for cloud deployment"],"best_for":["Teams deploying MCP servers across multiple environments (local, cloud, extension)","Organizations standardizing on MCP with heterogeneous client infrastructure","Developers building MCP client integrations that need transport flexibility"],"limitations":["HTTP/SSE transport adds network latency (50-500ms per request) vs local stdio","WebSocket transport requires additional connection setup and heartbeat management","No built-in authentication/authorization — requires external security layer for remote deployment","Transport abstraction adds ~10-20ms overhead per request due to serialization"],"requires":["Node.js 18+","@modelcontextprotocol/sdk with transport implementations","For HTTP: Node.js HTTP server or reverse proxy","For WebSocket: WebSocket client support in MCP client"],"input_types":["transport configuration (stdio, HTTP, WebSocket)","server options (port, host, etc.)"],"output_types":["MCP server instance","transport connection handle"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-microsoft-playwright-mcp__cap_4","uri":"capability://automation.workflow.browser.context.and.session.management","name":"browser context and session management","description":"Manages isolated browser contexts with independent cookies, storage, and authentication state. The server maintains a registry of active browser contexts and pages, enabling multi-context automation where different contexts can have different authentication states or user agents. Context management includes automatic cleanup on disconnect and support for persistent context data across sessions via configuration.","intents":["I need to automate multiple independent browser sessions with different authentication states","I want to isolate test scenarios in separate browser contexts without cross-contamination","I need to persist browser state (cookies, storage) across MCP server restarts"],"best_for":["Multi-user automation scenarios requiring isolated sessions","Testing workflows needing context isolation","Long-running agents requiring state persistence"],"limitations":["Each context consumes ~50-100MB memory — scaling to 100+ contexts requires significant resources","No built-in context pooling or reuse — contexts are created on-demand and destroyed on disconnect","Persistent context data requires external storage — no built-in database","Context switching latency ~10-50ms depending on context size"],"requires":["Playwright 1.40+","Sufficient system memory for concurrent contexts","Configuration file specifying context options (optional)"],"input_types":["context creation options (viewport, user agent, etc.)","context identifier"],"output_types":["context handle","page object"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-microsoft-playwright-mcp__cap_5","uri":"capability://automation.workflow.interactive.element.interaction.and.form.automation","name":"interactive element interaction and form automation","description":"Provides tools for clicking, typing, selecting, and submitting form elements with Playwright's built-in waiting and retry logic. The server exposes high-level interaction tools (click, fill, select) that handle element waiting, visibility checks, and error recovery automatically. Interactions are mapped to specific selectors (CSS, XPath, accessibility labels) and include support for keyboard shortcuts, file uploads, and multi-step form sequences.","intents":["I want my agent to fill out and submit forms without manual element waiting logic","I need reliable element interaction with automatic retry and error handling","I want to interact with elements using accessibility labels instead of brittle CSS selectors"],"best_for":["Agents automating form submission workflows","Testing frameworks requiring reliable element interaction","Accessibility-focused automation using semantic selectors"],"limitations":["Interaction tools are synchronous from MCP perspective — no streaming feedback during long operations","File upload support limited to local file paths — no remote URL downloads","Keyboard shortcuts require exact key names — no macro recording","Interaction timeout fixed at 30 seconds — not configurable per tool call"],"requires":["Valid CSS selector, XPath, or accessibility label","Element must be visible and enabled (Playwright enforces this)","For file uploads: local file path accessible to server process"],"input_types":["selector (CSS, XPath, or accessibility label)","text input or option value","keyboard key names"],"output_types":["success/failure status","error message if interaction failed"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-microsoft-playwright-mcp__cap_6","uri":"capability://automation.workflow.navigation.and.page.load.management","name":"navigation and page load management","description":"Handles page navigation with configurable wait strategies (load, domcontentloaded, networkidle) and timeout management. The server provides tools for goto, reload, and back/forward navigation with support for waiting until specific network conditions are met. Navigation includes automatic handling of redirects, popup windows, and navigation errors with detailed error reporting.","intents":["I need to navigate to URLs and wait for pages to fully load before proceeding","I want to handle navigation errors and redirects gracefully","I need to navigate back/forward through browser history"],"best_for":["Web scraping and data extraction workflows","Multi-page automation sequences","Testing workflows requiring reliable page transitions"],"limitations":["Navigation timeout fixed at 30 seconds — not configurable per call","networkidle wait strategy can be unreliable on pages with continuous background requests","No support for navigation interception or request modification","Popup handling requires explicit tool calls — no automatic popup management"],"requires":["Valid URL or relative path","Network connectivity to target URL","Page must not be in navigation state already"],"input_types":["URL string","wait strategy (load, domcontentloaded, networkidle)","timeout in milliseconds"],"output_types":["navigation status","final URL after redirects","error message if navigation failed"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-microsoft-playwright-mcp__cap_7","uri":"capability://image.visual.screenshot.and.dom.snapshot.capture","name":"screenshot and dom snapshot capture","description":"Captures full-page or element-specific screenshots as PNG/JPEG with optional clipping and scaling. The server also provides DOM snapshot functionality that serializes the current DOM tree as HTML or JSON, enabling both visual and structural page analysis. Screenshots can be captured with specific viewport sizes and device emulation settings.","intents":["I want to capture visual evidence of page state for debugging or reporting","I need to extract the full DOM structure for analysis or comparison","I want to capture specific element regions without full-page screenshots"],"best_for":["Visual regression testing workflows","Debugging automation failures with visual context","DOM-based page analysis and comparison"],"limitations":["Screenshots are base64-encoded in MCP response — large screenshots (>5MB) may exceed protocol limits","No built-in screenshot comparison or diffing — requires external image processing","DOM snapshots don't include computed styles or layout information","Screenshots don't capture dynamic content (animations, videos) — only static frame"],"requires":["Page must be loaded and visible","For element screenshots: valid selector"],"input_types":["selector (optional, for element screenshots)","screenshot options (fullPage, omitBackground, scale)"],"output_types":["base64-encoded PNG/JPEG image","HTML or JSON DOM representation"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-microsoft-playwright-mcp__cap_8","uri":"capability://code.generation.editing.javascript.execution.and.page.evaluation","name":"javascript execution and page evaluation","description":"Executes arbitrary JavaScript in the page context with support for passing arguments and returning structured results. The server provides tools for evaluateHandle (returns object reference), evaluate (returns serialized result), and evaluateAll (evaluates on multiple elements). JavaScript execution includes automatic serialization of return values and error handling with stack traces.","intents":["I need to execute custom JavaScript to extract data not available through standard tools","I want to manipulate page state programmatically (set values, trigger events)","I need to evaluate complex conditions or calculations on the page"],"best_for":["Complex data extraction requiring custom logic","Page manipulation beyond standard interaction tools","Testing workflows requiring JavaScript assertions"],"limitations":["Return values must be JSON-serializable — functions, DOM nodes, and circular references cannot be returned","JavaScript execution timeout fixed at 30 seconds","No access to Node.js modules or external APIs from page context","Errors in user-provided JavaScript may crash the page context"],"requires":["Valid JavaScript code as string","Page must be loaded","Return value must be JSON-serializable"],"input_types":["JavaScript code as string","arguments array (optional)"],"output_types":["serialized return value (JSON)","error message with stack trace"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-microsoft-playwright-mcp__cap_9","uri":"capability://automation.workflow.configuration.driven.browser.and.network.options","name":"configuration-driven browser and network options","description":"Supports declarative configuration of browser launch options, network settings, and server behavior through a configuration file (config.d.ts schema). The configuration system allows specification of browser type, headless mode, proxy settings, user agent, viewport size, and network interception rules. Configuration is loaded at server startup and applied to all browser instances launched by the server.","intents":["I want to configure browser behavior (headless, proxy, user agent) without code changes","I need to set up network interception or request blocking rules","I want to specify default viewport and device emulation settings"],"best_for":["Teams standardizing browser configuration across automation","Scenarios requiring proxy or network interception","Device emulation and responsive testing workflows"],"limitations":["Configuration is static at server startup — runtime changes require server restart","Network interception rules are basic pattern matching — no complex request modification","No per-context configuration override — all contexts use server-level settings","Configuration file must be valid TypeScript/JSON — syntax errors prevent server startup"],"requires":["Configuration file in supported format (config.d.ts or JSON)","Valid browser type (chromium, firefox, webkit)","Valid proxy URL if proxy is configured"],"input_types":["configuration file path","configuration object"],"output_types":["applied configuration","validation errors if configuration is invalid"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":50,"verified":false,"data_access_risk":"high","permissions":["Playwright 1.40+","Browser with accessibility tree support (Chromium, Firefox, WebKit)","MCP client compatible with stdio, HTTP/SSE, or WebSocket transport","Node.js 18+","@modelcontextprotocol/sdk 0.5.0+","Server must detect capabilities at startup","Browser must support capability detection APIs","Failed operation must generate exception","MCP client must support error response parsing","Chrome or Edge browser"],"failure_modes":["Cannot capture visual styling, colors, or layout information that isn't exposed in accessibility tree","Relies on proper semantic HTML and ARIA attributes — poorly marked-up pages may lack detail","Dynamic visual content (animations, canvas rendering) not represented in accessibility tree","Limited to tools explicitly registered in the server (~70 tools) — custom Playwright APIs require server modification","Tool invocation latency includes MCP serialization/deserialization overhead (~5-50ms per call)","No built-in tool caching or batching — each MCP call is independent","Tool availability is determined at server startup — dynamic capability changes not reflected","No graceful degradation — unavailable tools are completely hidden rather than returning partial results","Capability detection may be inaccurate for edge cases or custom browser builds","No tool availability query API — clients must infer from tool list","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7742423999221137,"quality":0.35,"ecosystem":0.46,"match_graph":0.25,"freshness":0.75,"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":"2026-05-24T12:16:22.065Z","last_scraped_at":"2026-05-03T14:23:31.492Z","last_commit":"2026-05-01T22:35:25Z"},"community":{"stars":31937,"forks":2617,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcp-microsoft-playwright-mcp","compare_url":"https://unfragile.ai/compare?artifact=mcp-microsoft-playwright-mcp"}},"signature":"uJHtBoIEdCELugaul7hvukVm623bbI1dOmym3RopjdJFgqijDlyLCYrAVDGWsgUKIAYJ/cZCkOT2dfiroWbMAQ==","signedAt":"2026-06-21T21:26:26.754Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-microsoft-playwright-mcp","artifact":"https://unfragile.ai/mcp-microsoft-playwright-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=mcp-microsoft-playwright-mcp","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"}}