{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_antonybudianto-web-pixel3","slug":"antonybudianto-web-pixel3","name":"web-pixel3","type":"mcp","url":"https://smithery.ai/servers/antonybudianto/web-pixel3","page_url":"https://unfragile.ai/antonybudianto-web-pixel3","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","web-browsing","smithery:antonybudianto/web-pixel3"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_antonybudianto-web-pixel3__cap_0","uri":"capability://tool.use.integration.web.page.screenshot.capture.via.mcp","name":"web-page-screenshot-capture-via-mcp","description":"Captures full-page or viewport screenshots of web URLs by spawning a headless browser instance (likely Puppeteer or Playwright) through the MCP server interface. The server translates MCP tool calls into browser automation commands, waits for page load completion, and returns image buffers or file paths. This enables LLM agents to visually inspect web content without parsing HTML directly.","intents":["I need my AI agent to see what a webpage looks like before deciding how to interact with it","I want to capture screenshots of dynamic content that requires JavaScript execution","I need to monitor visual changes on a webpage over time for regression testing"],"best_for":["AI agent developers building web automation workflows","Teams building visual regression testing into LLM-driven QA pipelines","Developers prototyping multi-modal agents that reason over both text and images"],"limitations":["Screenshot capture adds 2-5 second latency per request due to browser startup and page load","Memory overhead scales with concurrent screenshot requests — single-threaded browser instances may bottleneck","No built-in viewport size configuration — may not capture responsive layouts accurately","Cannot capture content behind authentication without pre-session setup"],"requires":["MCP client compatible with tool-calling protocol (Claude Desktop, LLM framework with MCP support)","Node.js 16+ (for Puppeteer/Playwright runtime)","Sufficient system memory for headless browser instances (≥512MB per concurrent request)","Network access to target URLs"],"input_types":["URL string","optional viewport dimensions (width, height)","optional wait-for-selector or timeout parameters"],"output_types":["PNG/JPEG image buffer","base64-encoded image string","file path to saved screenshot"],"categories":["tool-use-integration","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_antonybudianto-web-pixel3__cap_1","uri":"capability://tool.use.integration.web.page.dom.extraction.and.parsing","name":"web-page-dom-extraction-and-parsing","description":"Extracts and parses the DOM structure of a webpage by rendering it in a headless browser and returning structured representations (HTML, simplified text, or semantic tree). The MCP server likely uses DOM traversal APIs or libraries like Cheerio/jsdom to convert raw HTML into queryable formats. This enables agents to understand page structure without visual inspection.","intents":["I need my agent to extract structured data from a webpage (links, headings, form fields)","I want to identify interactive elements on a page programmatically","I need to understand the semantic hierarchy of a webpage for navigation planning"],"best_for":["Web scraping agents that need to extract data from dynamic sites","Developers building form-filling or navigation agents","Teams automating content extraction workflows with LLM reasoning"],"limitations":["Requires full page render — cannot extract content that loads asynchronously after initial DOM paint without explicit wait conditions","No built-in CSS selector optimization — complex selectors may be fragile across page updates","Returns raw or simplified HTML — semantic understanding still requires LLM interpretation","Large pages (>10MB HTML) may cause memory issues or timeout"],"requires":["MCP client with tool-calling support","Node.js 16+","Headless browser runtime (Puppeteer/Playwright)","Network access to target URLs"],"input_types":["URL string","optional CSS selectors or XPath queries","optional wait-for-element parameters"],"output_types":["HTML string (full or simplified)","JSON tree structure (nested elements with attributes)","plain text representation with hierarchy markers"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_antonybudianto-web-pixel3__cap_2","uri":"capability://tool.use.integration.web.search.and.url.retrieval.via.mcp","name":"web-search-and-url-retrieval-via-mcp","description":"Performs web searches and retrieves URLs through the MCP interface, likely integrating with a search API (Google, Bing, or DuckDuckGo) or a local search index. The server translates search queries into API calls, parses results, and returns ranked URLs with metadata (title, snippet, domain). This enables agents to discover relevant web resources without leaving the MCP context.","intents":["I need my agent to search the web for information before deciding which pages to visit","I want to find URLs matching specific criteria (domain, content type) programmatically","I need to integrate web search results into an agent's reasoning loop"],"best_for":["Developers building research or fact-checking agents","Teams automating information gathering workflows","AI agents that need to discover resources dynamically based on user queries"],"limitations":["Search results depend on external API availability and rate limits","No built-in result ranking or relevance filtering beyond search engine defaults","Snippets may be truncated or outdated — requires follow-up page fetches for verification","Search API costs may accumulate with high-volume agent usage"],"requires":["MCP client with tool-calling support","API key for search provider (Google Custom Search, Bing, or equivalent)","Network access to search API endpoints","Rate limit handling (typically 100-1000 queries/day depending on plan)"],"input_types":["search query string","optional filters (domain, language, date range)","optional result count limit"],"output_types":["JSON array of search results with title, URL, snippet, domain","ranked list of URLs","metadata including result position and source"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_antonybudianto-web-pixel3__cap_3","uri":"capability://tool.use.integration.web.page.content.fetching.with.javascript.execution","name":"web-page-content-fetching-with-javascript-execution","description":"Fetches and renders web pages with full JavaScript execution, returning the final rendered content rather than raw HTML. The MCP server uses a headless browser to load pages, wait for dynamic content to load, and return the post-execution DOM state. This handles single-page applications and dynamically-loaded content that static HTML fetching cannot capture.","intents":["I need my agent to access content from JavaScript-heavy websites (React, Vue, Angular apps)","I want to wait for specific elements to appear before extracting data","I need to handle pages that load content asynchronously after initial page load"],"best_for":["Agents scraping modern web applications with client-side rendering","Teams automating workflows on SPA-based platforms","Developers building agents that need to interact with dynamic content"],"limitations":["JavaScript execution adds 3-10 second latency per page fetch","Memory usage is high — each page render requires a full browser context","No built-in handling for infinite scroll or lazy-loaded content","Cannot execute arbitrary JavaScript — security restrictions prevent malicious code injection"],"requires":["MCP client with tool-calling support","Node.js 16+","Headless browser runtime (Puppeteer/Playwright)","Sufficient system resources (≥1GB RAM per concurrent page render)"],"input_types":["URL string","optional wait-for-selector (CSS selector to wait for before returning)","optional timeout in milliseconds","optional viewport dimensions"],"output_types":["rendered HTML string","JSON representation of final DOM state","plain text content extracted from rendered page"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_antonybudianto-web-pixel3__cap_4","uri":"capability://tool.use.integration.mcp.protocol.integration.for.llm.agents","name":"mcp-protocol-integration-for-llm-agents","description":"Implements the Model Context Protocol (MCP) server interface, exposing web browsing capabilities as standardized tools that Claude, other LLMs, and MCP-compatible frameworks can invoke. The server defines tool schemas (input/output types, descriptions) and handles MCP message serialization/deserialization. This enables seamless integration with LLM agents without custom API wrappers.","intents":["I want to add web browsing to my Claude agent without writing custom HTTP code","I need my LLM framework to discover and call web tools automatically","I want to standardize how my agents interact with web services"],"best_for":["Developers building Claude agents with web access","Teams standardizing on MCP for tool integration","LLM framework maintainers adding web browsing support"],"limitations":["MCP adoption is still emerging — not all LLM frameworks support it yet","Tool schema definitions must be maintained manually — no automatic schema generation from code","No built-in authentication — requires external credential management for API keys","Protocol overhead adds ~50-100ms per tool call compared to direct function calls"],"requires":["MCP-compatible client (Claude Desktop, LLM framework with MCP support)","Node.js 16+ for running the MCP server","MCP SDK or equivalent (likely included in web-pixel3)","Network connectivity between client and server"],"input_types":["MCP tool call requests with JSON parameters","standard MCP protocol messages"],"output_types":["MCP tool result responses with JSON data","error messages in MCP format"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_antonybudianto-web-pixel3__cap_5","uri":"capability://tool.use.integration.multi.url.batch.processing.and.aggregation","name":"multi-url-batch-processing-and-aggregation","description":"Processes multiple URLs in sequence or parallel, aggregating results into a single response. The MCP server likely accepts a list of URLs and applies the same operation (screenshot, DOM extraction, content fetch) to each, returning results as an array with per-URL metadata. This enables agents to gather information from multiple sources efficiently.","intents":["I need my agent to compare content across multiple websites simultaneously","I want to fetch data from a list of URLs without making separate tool calls","I need to aggregate results from multiple pages for analysis"],"best_for":["Agents performing comparative analysis across multiple sources","Teams automating batch data collection workflows","Developers building research or monitoring agents"],"limitations":["Parallel processing is limited by available system resources — too many concurrent requests may cause timeouts","No built-in error recovery — if one URL fails, the entire batch may fail or return partial results","Aggregation logic is simple — complex transformations require post-processing by the agent","Batch size limits may apply (typically 5-20 URLs per request)"],"requires":["MCP client with tool-calling support","Node.js 16+","Sufficient system resources for concurrent browser instances","Network access to all target URLs"],"input_types":["array of URL strings","optional operation type (screenshot, extract, fetch)","optional per-URL parameters"],"output_types":["JSON array of results with per-URL metadata","aggregated data structure (e.g., combined HTML, merged screenshots)","error status for each URL"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":25,"verified":false,"data_access_risk":"high","permissions":["MCP client compatible with tool-calling protocol (Claude Desktop, LLM framework with MCP support)","Node.js 16+ (for Puppeteer/Playwright runtime)","Sufficient system memory for headless browser instances (≥512MB per concurrent request)","Network access to target URLs","MCP client with tool-calling support","Node.js 16+","Headless browser runtime (Puppeteer/Playwright)","API key for search provider (Google Custom Search, Bing, or equivalent)","Network access to search API endpoints","Rate limit handling (typically 100-1000 queries/day depending on plan)"],"failure_modes":["Screenshot capture adds 2-5 second latency per request due to browser startup and page load","Memory overhead scales with concurrent screenshot requests — single-threaded browser instances may bottleneck","No built-in viewport size configuration — may not capture responsive layouts accurately","Cannot capture content behind authentication without pre-session setup","Requires full page render — cannot extract content that loads asynchronously after initial DOM paint without explicit wait conditions","No built-in CSS selector optimization — complex selectors may be fragile across page updates","Returns raw or simplified HTML — semantic understanding still requires LLM interpretation","Large pages (>10MB HTML) may cause memory issues or timeout","Search results depend on external API availability and rate limits","No built-in result ranking or relevance filtering beyond search engine defaults","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"ecosystem":0.42,"match_graph":0.25,"freshness":0.5,"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":"2026-05-24T12:16:25.635Z","last_scraped_at":"2026-05-03T15:19:39.638Z","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=antonybudianto-web-pixel3","compare_url":"https://unfragile.ai/compare?artifact=antonybudianto-web-pixel3"}},"signature":"miikwqf0Dr0mizGdsKknIcabK7SmU+cENlV+qlmhQLFLwyIS6KlWgZ0vXCO5UTZE35VIhGHh5cdSvlHAHY6rAQ==","signedAt":"2026-06-20T00:31:05.636Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/antonybudianto-web-pixel3","artifact":"https://unfragile.ai/antonybudianto-web-pixel3","verify":"https://unfragile.ai/api/v1/verify?slug=antonybudianto-web-pixel3","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"}}