{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-puppeteer-mcp-server-ws","slug":"npm-puppeteer-mcp-server-ws","name":"puppeteer-mcp-server-ws","type":"mcp","url":"https://www.npmjs.com/package/puppeteer-mcp-server-ws","page_url":"https://unfragile.ai/npm-puppeteer-mcp-server-ws","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-puppeteer-mcp-server-ws__cap_0","uri":"capability://tool.use.integration.websocket.based.browser.automation.via.mcp.protocol","name":"websocket-based browser automation via mcp protocol","description":"Exposes Puppeteer browser automation capabilities as an MCP (Model Context Protocol) server over WebSocket connections, allowing LLM clients to control headless Chrome/Chromium instances through standardized tool-calling interfaces. Implements the MCP server specification to translate tool invocations into Puppeteer API calls, managing browser lifecycle and session state across multiple concurrent client connections.","intents":["Connect an LLM agent to a browser automation backend without writing custom API wrappers","Enable multi-turn browser interactions where an AI assistant navigates, extracts data, and performs actions across web pages","Build a shared browser automation service that multiple LLM clients can access simultaneously via WebSocket"],"best_for":["AI agent developers building web scraping or form-filling workflows","Teams deploying LLM-driven RPA (Robotic Process Automation) solutions","Researchers prototyping browser-based task automation with language models"],"limitations":["Experimental/unstable — not production-hardened; API surface may change without notice","No built-in session persistence — browser state is lost if server restarts","WebSocket overhead adds latency compared to direct Puppeteer library usage; suitable for remote access but not ultra-low-latency scenarios","Single-threaded event loop may bottleneck under high concurrent automation load (100+ simultaneous browser operations)"],"requires":["Node.js 14+ (Puppeteer requires Node 14+)","Chrome or Chromium binary installed locally or accessible via PUPPETEER_EXECUTABLE_PATH","MCP-compatible client (e.g., Claude Desktop, custom LLM agent framework)","WebSocket support in client and server environments"],"input_types":["MCP tool call JSON (standardized format with tool name and parameters)","Browser automation parameters (URLs, selectors, input text, wait conditions)"],"output_types":["MCP tool result JSON (structured responses with success/error status)","Page content (HTML, text, screenshots as base64)","Extracted data (structured JSON from page queries)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-puppeteer-mcp-server-ws__cap_1","uri":"capability://automation.workflow.headless.browser.page.navigation.and.content.retrieval","name":"headless browser page navigation and content retrieval","description":"Provides tools to navigate to URLs, wait for page load conditions, and retrieve page content (HTML, text, screenshots) via Puppeteer's page automation API. Implements timeout-based wait strategies (waitForNavigation, waitForSelector) to handle dynamic content loading and AJAX-driven pages, returning structured page state to the LLM client.","intents":["Navigate to a URL and wait for the page to fully load before proceeding with extraction","Retrieve the current page's HTML or rendered text content for analysis by the LLM","Capture a screenshot of the current page state for visual inspection or OCR processing"],"best_for":["Web scraping workflows where pages require JavaScript rendering","LLM-driven research tasks that need to fetch and analyze live web content","Accessibility testing or visual regression detection in automated workflows"],"limitations":["No built-in JavaScript execution sandbox — arbitrary page scripts run with full browser privileges","Screenshot capture is memory-intensive for large pages; base64 encoding adds ~33% overhead to response size","Wait conditions (waitForSelector, waitForNavigation) can timeout unpredictably on slow networks or pages with dynamic content; no adaptive timeout tuning","HTML retrieval returns raw DOM state; no automatic cleanup of script tags, styles, or metadata"],"requires":["Valid URL accessible from the server's network","Puppeteer browser instance already launched and connected","Timeout values configurable (default typically 30s for navigation)"],"input_types":["URL string","CSS selector string (for waitForSelector)","Timeout duration in milliseconds"],"output_types":["HTML string (full page DOM)","Plain text (rendered page text content)","Screenshot as base64-encoded PNG/JPEG","Page metadata (title, URL, status code)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-puppeteer-mcp-server-ws__cap_2","uri":"capability://automation.workflow.dom.element.interaction.and.form.automation","name":"dom element interaction and form automation","description":"Enables clicking, typing, and form submission on page elements via CSS selectors or XPath queries. Implements Puppeteer's type(), click(), and evaluate() methods to interact with DOM elements, with built-in error handling for missing selectors and stale element references. Supports keyboard shortcuts, file uploads, and multi-step form workflows.","intents":["Fill out and submit web forms programmatically (login, search, checkout)","Click buttons, links, and interactive elements to trigger page state changes","Perform keyboard interactions (Enter, Tab, Escape) to navigate forms or trigger autocomplete"],"best_for":["RPA workflows automating data entry and form submission","Testing web applications with complex interactive flows","LLM agents that need to navigate multi-step web processes (login → search → extract)"],"limitations":["Selector-based interaction is brittle — page DOM changes break automation; no built-in selector versioning or fuzzy matching","No visual element detection — cannot interact with elements by appearance (e.g., 'click the red button'); requires CSS selectors or XPath","File upload support limited to local file paths on the server; no cross-origin file handling","No built-in CAPTCHA solving or bot detection evasion — may fail on protected sites"],"requires":["Valid CSS selector or XPath expression for target element","Element must be visible and clickable (Puppeteer checks visibility before interaction)","Puppeteer browser context with JavaScript enabled"],"input_types":["CSS selector or XPath string","Text input string (for typing)","Keyboard key name (e.g., 'Enter', 'Tab')","File path (for upload)"],"output_types":["Success/failure status","Updated page content after interaction","Navigation URL if interaction triggered page load"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-puppeteer-mcp-server-ws__cap_3","uri":"capability://data.processing.analysis.dom.query.and.data.extraction.via.javascript.evaluation","name":"dom query and data extraction via javascript evaluation","description":"Executes arbitrary JavaScript in the page context to query and extract structured data from the DOM. Uses Puppeteer's page.evaluate() to run functions in the browser's JavaScript runtime, returning JSON-serializable results. Supports complex queries (e.g., 'extract all product listings as JSON') without requiring the LLM to parse raw HTML.","intents":["Extract structured data (prices, product names, links) from a page by running custom JavaScript queries","Perform complex DOM traversals and transformations that are difficult to express via CSS selectors alone","Compute derived data (e.g., sum of prices, count of elements) directly in the browser before returning to the LLM"],"best_for":["Web scraping tasks requiring complex data transformation","LLM agents that need to extract and structure data from dynamic or JavaScript-rendered pages","Workflows where data extraction logic is easier to express in JavaScript than in the LLM's reasoning loop"],"limitations":["Arbitrary JavaScript execution is a security risk if the page is untrusted — malicious scripts can exfiltrate data or crash the browser","No sandboxing — JavaScript runs with full page context privileges; cannot isolate extraction logic from page scripts","Return values must be JSON-serializable; complex objects (DOM nodes, functions) cannot be returned directly","Timeout for evaluation is fixed (default 30s); long-running queries may fail without clear error messages"],"requires":["JavaScript code as a string or function definition","Page must be loaded and JavaScript execution enabled","Return value must be JSON-serializable (primitives, arrays, objects)"],"input_types":["JavaScript code string or function definition","Optional arguments to pass to the function"],"output_types":["JSON-serializable result (object, array, string, number, boolean)","Error message if evaluation fails"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-puppeteer-mcp-server-ws__cap_4","uri":"capability://automation.workflow.multi.page.session.management.and.context.switching","name":"multi-page session management and context switching","description":"Manages multiple browser pages/tabs within a single browser context, allowing LLM agents to switch between pages, maintain separate session states, and coordinate interactions across multiple URLs. Implements page pooling and lifecycle management to track open pages and clean up resources. Supports isolated cookies and local storage per context.","intents":["Maintain multiple browser tabs simultaneously (e.g., compare prices across two product pages)","Switch between pages without losing session state (cookies, authentication)","Coordinate multi-page workflows where actions on one page affect content on another"],"best_for":["Complex workflows requiring parallel page operations (e.g., A/B testing, price comparison)","Multi-step processes where the agent needs to reference content from multiple pages","Testing scenarios requiring isolated browser contexts with different authentication states"],"limitations":["No built-in page pooling or resource limits — unbounded page creation can exhaust memory; requires external quota management","Page switching is explicit (requires page ID or index); no automatic context inference from URL or title","Cookies and local storage are shared across all pages in a context; no per-page isolation","No built-in page lifecycle hooks — cleanup must be managed manually or via timeout-based eviction"],"requires":["Browser instance with multiple page support","Page identifiers (URL, index, or custom ID) to switch between pages","Memory sufficient for multiple page instances (each page ~50-200MB depending on content)"],"input_types":["Page identifier (URL, index, or custom ID)","Navigation URL for new page","Page-specific operation (click, type, evaluate)"],"output_types":["List of open pages with metadata (URL, title, ID)","Current page state after switch","Results of page-specific operations"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-puppeteer-mcp-server-ws__cap_5","uri":"capability://data.processing.analysis.network.request.response.interception.and.monitoring","name":"network request/response interception and monitoring","description":"Intercepts and logs HTTP requests and responses made by the page, enabling inspection of API calls, network timing, and response payloads. Uses Puppeteer's request interception API to capture network events, optionally blocking or modifying requests. Useful for debugging, extracting API responses, and understanding page behavior.","intents":["Inspect API calls made by a page to understand data sources and extract structured responses","Block certain requests (ads, tracking) to speed up page load or reduce noise","Monitor network timing and performance metrics for pages"],"best_for":["Web scraping where data is loaded via API calls rather than embedded in HTML","Debugging workflows where understanding page network behavior is critical","Performance testing and optimization workflows"],"limitations":["Request interception adds ~5-10% overhead to page load times","No automatic request replay or caching — each page load re-fetches all resources","Response body capture is memory-intensive for large payloads (videos, large files); no streaming support","HTTPS request bodies cannot be inspected without certificate pinning bypass — limited to headers and metadata"],"requires":["Page with request interception enabled","Network access from the server to the target domain","Memory sufficient to buffer response payloads"],"input_types":["Request filter (URL pattern, method, resource type)","Optional request modification (headers, body)"],"output_types":["Request metadata (URL, method, headers, timing)","Response metadata (status, headers, size)","Response body (JSON, HTML, or raw bytes)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-puppeteer-mcp-server-ws__cap_6","uri":"capability://data.processing.analysis.browser.performance.and.metrics.collection","name":"browser performance and metrics collection","description":"Collects performance metrics (page load time, Core Web Vitals, memory usage, CPU) from the browser using Puppeteer's metrics API and Chrome DevTools Protocol. Provides timing breakdowns (DNS, TCP, TLS, TTFB, DOM interactive) and resource usage statistics for performance analysis and optimization.","intents":["Measure page load performance and identify bottlenecks","Collect Core Web Vitals (LCP, FID, CLS) for performance monitoring","Track memory and CPU usage to detect resource leaks or inefficient pages"],"best_for":["Performance testing and optimization workflows","Monitoring page health and detecting regressions","Capacity planning for browser automation infrastructure"],"limitations":["Metrics are point-in-time snapshots; no continuous monitoring or time-series data","Core Web Vitals require user interaction (FID) or real user data; synthetic measurements may not match production","Memory and CPU metrics are browser-wide, not page-specific; cannot isolate resource usage per page","Metrics collection adds ~1-2% overhead to page load time"],"requires":["Page fully loaded and interactive","Chrome DevTools Protocol enabled (default in Puppeteer)","Sufficient time for metrics to stabilize (typically 3-5 seconds after page load)"],"input_types":["Page reference","Optional metric filter (e.g., 'Core Web Vitals only')"],"output_types":["Structured metrics object (timing, memory, CPU)","Core Web Vitals (LCP, FID, CLS)","Resource breakdown (scripts, stylesheets, images)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-puppeteer-mcp-server-ws__cap_7","uri":"capability://automation.workflow.cookie.and.local.storage.management","name":"cookie and local storage management","description":"Manages browser cookies and local storage for session persistence and authentication. Allows setting, getting, and clearing cookies/storage across pages in a context. Supports cookie attributes (domain, path, expiry, secure, httpOnly) for fine-grained control. Useful for maintaining login sessions and testing authentication flows.","intents":["Set authentication cookies to maintain login sessions across page navigations","Retrieve stored credentials or session tokens for verification","Clear cookies and storage to reset browser state between test runs"],"best_for":["Workflows requiring authentication or session management","Testing authentication flows and session handling","Maintaining state across multiple page navigations"],"limitations":["No encryption — cookies and storage are stored in plaintext; sensitive data should be handled carefully","Cookie attributes (secure, httpOnly) are enforced by the browser but not validated by the server","Local storage is per-origin; cannot access storage from other domains","No automatic cookie refresh or expiry handling — expired cookies must be manually cleared"],"requires":["Browser context with cookie/storage support","Valid cookie attributes (domain, path, expiry)","Page must be loaded from the target domain before accessing its storage"],"input_types":["Cookie object (name, value, domain, path, expiry, secure, httpOnly)","Storage key-value pairs (for local storage)"],"output_types":["List of cookies with attributes","Local storage contents as key-value object","Success/failure status for set/clear operations"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"high","permissions":["Node.js 14+ (Puppeteer requires Node 14+)","Chrome or Chromium binary installed locally or accessible via PUPPETEER_EXECUTABLE_PATH","MCP-compatible client (e.g., Claude Desktop, custom LLM agent framework)","WebSocket support in client and server environments","Valid URL accessible from the server's network","Puppeteer browser instance already launched and connected","Timeout values configurable (default typically 30s for navigation)","Valid CSS selector or XPath expression for target element","Element must be visible and clickable (Puppeteer checks visibility before interaction)","Puppeteer browser context with JavaScript enabled"],"failure_modes":["Experimental/unstable — not production-hardened; API surface may change without notice","No built-in session persistence — browser state is lost if server restarts","WebSocket overhead adds latency compared to direct Puppeteer library usage; suitable for remote access but not ultra-low-latency scenarios","Single-threaded event loop may bottleneck under high concurrent automation load (100+ simultaneous browser operations)","No built-in JavaScript execution sandbox — arbitrary page scripts run with full browser privileges","Screenshot capture is memory-intensive for large pages; base64 encoding adds ~33% overhead to response size","Wait conditions (waitForSelector, waitForNavigation) can timeout unpredictably on slow networks or pages with dynamic content; no adaptive timeout tuning","HTML retrieval returns raw DOM state; no automatic cleanup of script tags, styles, or metadata","Selector-based interaction is brittle — page DOM changes break automation; no built-in selector versioning or fuzzy matching","No visual element detection — cannot interact with elements by appearance (e.g., 'click the red button'); requires CSS selectors or XPath","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.41,"ecosystem":0.3,"match_graph":0.25,"freshness":0.6,"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":"2026-05-24T12:16:24.482Z","last_scraped_at":"2026-05-03T14:23:45.157Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-puppeteer-mcp-server-ws","compare_url":"https://unfragile.ai/compare?artifact=npm-puppeteer-mcp-server-ws"}},"signature":"+dEoAtjwC2yjfup0tVdCR73M8tPfGQqzfD9dHc9mKoSIqlovVTMnoXe/u9pFNIM8sZg0XqCmznHcENao2/x/Aw==","signedAt":"2026-06-20T08:36:35.557Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-puppeteer-mcp-server-ws","artifact":"https://unfragile.ai/npm-puppeteer-mcp-server-ws","verify":"https://unfragile.ai/api/v1/verify?slug=npm-puppeteer-mcp-server-ws","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"}}