{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_reducemyins-skyvern","slug":"reducemyins-skyvern","name":"skyvern","type":"mcp","url":"https://github.com/ReduceMyIns/skyvern","page_url":"https://unfragile.ai/reducemyins-skyvern","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:ReduceMyIns/skyvern"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_reducemyins-skyvern__cap_0","uri":"capability://tool.use.integration.browser.automation.via.mcp.protocol","name":"browser-automation-via-mcp-protocol","description":"Exposes browser automation capabilities through the Model Context Protocol (MCP) server interface, allowing Claude and other MCP-compatible clients to control headless browsers for web interaction tasks. Implements MCP resource and tool definitions that map to browser control primitives (navigation, clicking, form filling, screenshot capture), enabling LLM agents to orchestrate complex multi-step web workflows without direct Selenium/Playwright imports.","intents":["I want Claude to autonomously navigate websites and complete tasks like form submission or data extraction","I need to expose browser automation as a standardized service that any MCP client can consume","I want to build web-scraping agents that can handle dynamic content and JavaScript-rendered pages"],"best_for":["AI agent developers building autonomous web interaction workflows","Teams integrating browser automation into Claude-based applications","Builders creating MCP servers that need headless browser capabilities"],"limitations":["Limited to MCP protocol semantics — complex browser state management must be handled by the client","No built-in session persistence across MCP server restarts without external state management","Headless browser overhead adds 2-5 second latency per navigation compared to direct API calls","Screenshot and DOM extraction capabilities depend on underlying browser engine (Chromium/Firefox) rendering performance"],"requires":["MCP-compatible client (Claude via Claude Desktop, or other MCP hosts)","Node.js 16+ or Python 3.8+ (depending on implementation language)","Chromium or Firefox binary available on system PATH or specified via environment variable","Network access to target websites (no built-in proxy support documented)"],"input_types":["URL strings","CSS/XPath selectors","Text input for form fields","JSON-structured action sequences"],"output_types":["PNG/JPEG screenshots","HTML DOM strings","Extracted text content","JSON-structured interaction results"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_reducemyins-skyvern__cap_1","uri":"capability://memory.knowledge.mcp.resource.definition.for.browser.state","name":"mcp-resource-definition-for-browser-state","description":"Defines MCP resource types that represent browser state (current page, DOM tree, screenshot, session metadata) as queryable resources with URIs, allowing clients to introspect and reference browser context without polling. Uses MCP resource protocol to expose browser snapshots as structured data that can be embedded in LLM context windows, enabling agents to reason about page state before taking actions.","intents":["I want Claude to see the current state of a webpage before deciding what action to take next","I need to reference specific browser sessions and pages by URI in multi-turn agent conversations","I want to cache and reuse browser state snapshots across multiple agent steps"],"best_for":["Multi-turn agent workflows requiring visual/DOM context at each step","Developers building stateful browser automation where agent decisions depend on page state","Teams needing to debug agent behavior by inspecting captured browser snapshots"],"limitations":["Screenshot and DOM extraction adds 500ms-2s per resource query depending on page complexity","Resource URIs are ephemeral — browser sessions cannot be reliably resumed across server restarts without external persistence","Large DOM trees (>100KB) may exceed LLM context window limits when embedded directly","No built-in resource versioning or history — only current state is accessible"],"requires":["MCP client that supports resource reading (Claude Desktop 0.4+)","Browser instance with DOM access (Chromium DevTools Protocol or Playwright API)","Sufficient memory to maintain browser session state in server process"],"input_types":["Resource URIs (e.g., 'browser://session/abc123/page')","Query parameters for filtering (selector, format)"],"output_types":["HTML/DOM strings","PNG/JPEG images","JSON metadata (URL, title, cookies, local storage)"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_reducemyins-skyvern__cap_10","uri":"capability://automation.workflow.error.handling.and.recovery.strategies","name":"error-handling-and-recovery-strategies","description":"Implements structured error handling for browser operations with recovery strategies (retry, fallback selectors, alternative actions). Translates browser exceptions into MCP tool results with diagnostic information, enabling agents to understand failure reasons and implement recovery logic.","intents":["I want to know why a browser action failed and what to do about it","I need automatic retry logic for flaky operations like element clicks","I want to implement fallback strategies when primary selectors don't work"],"best_for":["Resilient agent workflows that handle transient failures","Teams building production automation requiring high reliability","Developers debugging agent failures and understanding root causes"],"limitations":["Error recovery is limited to predefined strategies — cannot handle novel failure modes","Retry logic may mask underlying issues (e.g., incorrect selectors) rather than fixing them","No built-in logging or telemetry — requires external monitoring for production visibility","Recovery strategies are application-agnostic — may not work for domain-specific error conditions"],"requires":["Browser error handling and exception catching","Structured error classification logic","Optional: retry library with exponential backoff"],"input_types":["Browser operation (action name, parameters)","Retry configuration (max attempts, backoff strategy)","Fallback options (alternative selectors, actions)"],"output_types":["Error classification (element not found, timeout, network error, etc.)","Diagnostic information (stack trace, page state at failure)","Recovery recommendations","Retry results"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_reducemyins-skyvern__cap_2","uri":"capability://tool.use.integration.mcp.tool.schema.for.browser.actions","name":"mcp-tool-schema-for-browser-actions","description":"Defines MCP tool schemas that map to atomic browser actions (navigate, click, fill form, wait for element, extract text) with JSON-Schema validation, allowing LLM agents to invoke browser operations through standardized tool-calling interfaces. Implements parameter validation and error handling that translates browser exceptions into structured MCP tool results, enabling agents to reason about action success/failure.","intents":["I want Claude to click buttons, fill forms, and navigate pages using natural language instructions","I need structured error messages when browser actions fail so the agent can retry or pivot","I want to constrain agent actions to a safe set of predefined browser operations"],"best_for":["Autonomous agent developers building multi-step web workflows","Teams implementing guardrails for browser automation (e.g., preventing navigation to blocked domains)","Builders creating domain-specific agents that interact with specific web applications"],"limitations":["Tool schemas are static — cannot dynamically adapt to page-specific actions or custom UI patterns","No built-in retry logic — agents must implement their own retry strategies for flaky selectors","Selector-based actions (click, fill) are brittle against DOM changes; no AI-powered element detection","Timeout handling is basic — long-running operations (file uploads, complex interactions) may exceed MCP message timeouts"],"requires":["MCP client that supports tool calling (Claude, other LLM providers with MCP support)","Browser instance with Playwright/Selenium backend","JSON-Schema validation library (typically built into MCP server framework)"],"input_types":["CSS selectors or XPath expressions","Text strings for form input","URLs for navigation","Wait conditions (element visibility, text presence)"],"output_types":["Boolean success/failure","Extracted text or HTML","Error messages with diagnostic info","Updated browser state snapshots"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_reducemyins-skyvern__cap_3","uri":"capability://automation.workflow.session.management.for.browser.instances","name":"session-management-for-browser-instances","description":"Manages lifecycle of browser sessions (creation, reuse, cleanup) across multiple MCP tool calls, maintaining browser context and cookies between agent actions. Implements session pooling or singleton patterns to avoid spawning new browser instances per action, reducing overhead and enabling stateful interactions (login persistence, multi-page workflows).","intents":["I want to log into a website once and then perform multiple actions without re-authenticating","I need to maintain browser cookies and session state across multiple agent steps","I want to reuse browser instances to reduce startup latency in rapid-fire agent workflows"],"best_for":["Multi-step agent workflows requiring authentication or session state","High-frequency automation tasks where browser startup overhead is significant","Teams building long-running agents that interact with stateful web applications"],"limitations":["Session state is in-memory — lost on server restart without external persistence layer","No built-in session isolation — concurrent agents may interfere with shared browser state if not properly scoped","Memory footprint grows with number of active sessions; no automatic cleanup of idle sessions without timeout configuration","Browser context (cookies, local storage) is not encrypted — sensitive data exposed if server is compromised"],"requires":["MCP server implementation with session storage (in-memory or external database)","Browser pool management library (e.g., Playwright's BrowserContext API)","Timeout/cleanup mechanism (e.g., TTL-based session expiration)"],"input_types":["Session IDs (string identifiers)","Browser configuration options (headless mode, viewport size, user agent)"],"output_types":["Session metadata (ID, creation time, last activity)","Browser state snapshots","Session cleanup confirmations"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_reducemyins-skyvern__cap_4","uri":"capability://data.processing.analysis.dom.extraction.and.analysis","name":"dom-extraction-and-analysis","description":"Extracts and analyzes DOM structure from rendered pages, providing agents with structured representations of page content (element hierarchy, text content, form fields, links). Implements DOM parsing and filtering to return relevant page elements as JSON or HTML snippets, enabling agents to understand page structure without full screenshot analysis.","intents":["I want Claude to understand the structure of a webpage and identify clickable elements, forms, and content","I need to extract specific data from a page (product listings, table rows, form fields) in structured format","I want to find elements by text content or role (button, link, input) rather than brittle CSS selectors"],"best_for":["Data extraction agents that need to parse and structure web content","Developers building accessibility-aware agents that interact with semantic HTML","Teams automating workflows on complex, dynamic web applications with frequently-changing layouts"],"limitations":["DOM extraction is text-based — cannot detect visual layout, styling, or rendering issues that affect usability","Large DOMs (>100KB) may exceed LLM context limits when embedded; requires filtering/summarization","Shadow DOM and iframes are not traversed by default — requires explicit configuration","Dynamic content loaded after page load (JavaScript-rendered) may not be captured without explicit wait conditions"],"requires":["Browser instance with DOM access (Playwright, Selenium, or Puppeteer)","DOM parsing library (jsdom, cheerio, or native browser APIs)","Optional: accessibility tree library (axe-core) for semantic analysis"],"input_types":["CSS selectors or XPath for filtering","Text patterns for element matching","Role-based queries (button, link, textbox)"],"output_types":["JSON-structured element lists with attributes","HTML snippets","Accessibility tree (roles, labels, states)","Text content extraction"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_reducemyins-skyvern__cap_5","uri":"capability://image.visual.screenshot.capture.and.visual.feedback","name":"screenshot-capture-and-visual-feedback","description":"Captures screenshots of rendered pages and provides them to agents as visual context for decision-making. Implements screenshot generation with configurable viewport sizes, scrolling, and element highlighting, allowing agents to reason about visual layout, styling, and rendering issues that affect interaction.","intents":["I want Claude to see what a webpage looks like before deciding what to click or fill","I need visual feedback to debug why an agent action failed or didn't have the expected effect","I want to capture screenshots at specific points in a workflow for logging or audit purposes"],"best_for":["Visual debugging of agent workflows","Agents interacting with visually-complex or heavily-styled web applications","Teams building audit trails or documentation of automated web interactions"],"limitations":["Screenshot generation adds 1-3 second latency per capture; not suitable for high-frequency polling","Screenshots are large (typically 100KB-1MB per image) and consume significant LLM context when embedded","Visual analysis by LLMs is slower and more error-prone than semantic DOM analysis for structured data extraction","Viewport size affects rendering — screenshots may not match user's actual browser view"],"requires":["Browser instance with rendering engine (Chromium, Firefox)","Image encoding library (PNG, JPEG)","Optional: image compression or resizing for context efficiency"],"input_types":["Viewport dimensions (width, height)","Scroll position or element to focus","Image format preference (PNG, JPEG)"],"output_types":["PNG/JPEG image data","Base64-encoded image strings","Image metadata (dimensions, file size)"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_reducemyins-skyvern__cap_6","uri":"capability://tool.use.integration.selector.based.element.interaction","name":"selector-based-element-interaction","description":"Implements reliable element interaction through CSS selectors and XPath expressions, with fallback strategies for dynamic or fragile selectors. Provides tools for clicking, filling, hovering, and extracting text from elements identified by selector patterns, with built-in wait conditions and error handling for missing or stale elements.","intents":["I want to click a button or link identified by CSS selector or XPath","I need to fill form fields with text and handle validation errors","I want to wait for elements to appear before interacting with them"],"best_for":["Automation of well-structured web applications with stable DOM","Workflows where selector-based interaction is sufficient (forms, navigation, simple data entry)","Teams with domain knowledge of target application structure"],"limitations":["Brittle to DOM changes — selectors break when page structure changes, requiring manual updates","No AI-powered element detection — cannot adapt to UI variations or find elements by visual similarity","Selector conflicts — multiple elements may match the same selector, causing wrong element interaction","Dynamic content and shadow DOM require explicit handling; no automatic traversal"],"requires":["Browser instance with element query API (Playwright, Selenium)","CSS selector or XPath knowledge; optional: selector validation library"],"input_types":["CSS selectors (e.g., 'button.submit')","XPath expressions (e.g., '//button[text()=\"Submit\"]')","Text content for form input","Wait conditions (visibility, presence, text)"],"output_types":["Boolean success/failure","Extracted text or attribute values","Error messages (element not found, interaction failed)","Updated page state"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_reducemyins-skyvern__cap_7","uri":"capability://automation.workflow.navigation.and.page.load.handling","name":"navigation-and-page-load-handling","description":"Manages page navigation with configurable wait strategies for page load completion, handling both synchronous navigation (direct URL) and asynchronous navigation (link clicks that trigger navigation). Implements wait conditions for network idle, DOM ready, or specific element appearance to ensure page is fully loaded before agent proceeds.","intents":["I want to navigate to a URL and wait for the page to fully load before taking further actions","I need to click a link and wait for the resulting page to load","I want to handle slow-loading pages or infinite scroll without timing out"],"best_for":["Multi-page workflows requiring reliable page load detection","Automation of slow or complex web applications with asynchronous loading","Teams building resilient agents that handle network delays and slow servers"],"limitations":["Wait strategies are heuristic-based — cannot guarantee true page readiness for all applications","Network idle detection may timeout on pages with continuous background requests (analytics, WebSockets)","No built-in handling for infinite scroll or lazy-loaded content — requires explicit scroll/wait logic","Timeout values must be tuned per application; no automatic timeout optimization"],"requires":["Browser instance with navigation API (Playwright, Selenium)","Network monitoring capability (Playwright's network idle detection)","Configurable timeout values"],"input_types":["URLs","Wait strategies (network idle, DOM ready, element visible)","Timeout values (milliseconds)"],"output_types":["Navigation success/failure","Final page URL","Page title and metadata","Error messages (timeout, navigation failed)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_reducemyins-skyvern__cap_8","uri":"capability://automation.workflow.form.filling.and.validation","name":"form-filling-and-validation","description":"Automates form filling with type detection and validation, handling text inputs, dropdowns, checkboxes, radio buttons, and file uploads. Implements field type detection and value formatting (dates, numbers, email) to ensure correct input format, with error handling for validation failures and required field detection.","intents":["I want to fill out a form with multiple fields and submit it","I need to handle different field types (text, select, checkbox, file upload) automatically","I want to detect and handle form validation errors"],"best_for":["Automation of data entry workflows (form submissions, account creation, surveys)","Teams building agents that interact with standard HTML forms","Workflows requiring reliable form interaction without manual selector configuration"],"limitations":["Field type detection relies on HTML attributes — custom form components may not be recognized","No built-in handling for complex form validation (cross-field validation, async validation)","File upload support is limited — cannot handle file selection dialogs or multi-file uploads reliably","Form submission detection is heuristic-based — may not work with AJAX submissions or custom submit handlers"],"requires":["Browser instance with form interaction API","Form field type detection logic (HTML attribute parsing)","Optional: date/number formatting library"],"input_types":["Form field selectors or names","Field values (text, numbers, dates, file paths)","Form submission strategy (click submit button, press Enter, etc.)"],"output_types":["Form submission success/failure","Validation error messages","Submitted data confirmation","Post-submission page state"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_reducemyins-skyvern__cap_9","uri":"capability://data.processing.analysis.text.extraction.and.content.parsing","name":"text-extraction-and-content-parsing","description":"Extracts and parses text content from pages, with options for full-page extraction, element-specific extraction, or structured data parsing (tables, lists). Implements text cleaning and normalization to remove noise (whitespace, formatting artifacts) and provide clean, agent-friendly text representations of page content.","intents":["I want to extract all text content from a page for analysis or summarization","I need to extract specific data from tables, lists, or structured content","I want to find text content matching a pattern and extract it"],"best_for":["Content extraction and data scraping workflows","Agents that need to read and understand page content before taking actions","Teams building information extraction pipelines"],"limitations":["Text extraction loses visual layout and styling information","No built-in table parsing — complex tables may require custom extraction logic","Text cleaning heuristics may remove important whitespace or formatting","Dynamic content loaded after page load may not be captured"],"requires":["Browser instance with text content API","Text parsing and cleaning library"],"input_types":["CSS selectors or XPath for element-specific extraction","Text patterns or regex for matching","Extraction strategy (full page, element, structured)"],"output_types":["Plain text strings","Structured data (JSON for tables, lists)","Text with metadata (element type, position)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":30,"verified":false,"data_access_risk":"high","permissions":["MCP-compatible client (Claude via Claude Desktop, or other MCP hosts)","Node.js 16+ or Python 3.8+ (depending on implementation language)","Chromium or Firefox binary available on system PATH or specified via environment variable","Network access to target websites (no built-in proxy support documented)","MCP client that supports resource reading (Claude Desktop 0.4+)","Browser instance with DOM access (Chromium DevTools Protocol or Playwright API)","Sufficient memory to maintain browser session state in server process","Browser error handling and exception catching","Structured error classification logic","Optional: retry library with exponential backoff"],"failure_modes":["Limited to MCP protocol semantics — complex browser state management must be handled by the client","No built-in session persistence across MCP server restarts without external state management","Headless browser overhead adds 2-5 second latency per navigation compared to direct API calls","Screenshot and DOM extraction capabilities depend on underlying browser engine (Chromium/Firefox) rendering performance","Screenshot and DOM extraction adds 500ms-2s per resource query depending on page complexity","Resource URIs are ephemeral — browser sessions cannot be reliably resumed across server restarts without external persistence","Large DOM trees (>100KB) may exceed LLM context window limits when embedded directly","No built-in resource versioning or history — only current state is accessible","Error recovery is limited to predefined strategies — cannot handle novel failure modes","Retry logic may mask underlying issues (e.g., incorrect selectors) rather than fixing them","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.32,"ecosystem":0.48999999999999994,"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":"2026-05-24T12:16:28.137Z","last_scraped_at":"2026-05-03T15:19:42.883Z","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=reducemyins-skyvern","compare_url":"https://unfragile.ai/compare?artifact=reducemyins-skyvern"}},"signature":"wfPUvSISHlMTJ3L/fmYIuy4QKptTWzL2gfVQT+rfcPOXOhenkw7bCuIHVxRpy8fdsRfD0Ja9WJId3CQ0iuSOBA==","signedAt":"2026-06-20T13:15:55.685Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/reducemyins-skyvern","artifact":"https://unfragile.ai/reducemyins-skyvern","verify":"https://unfragile.ai/api/v1/verify?slug=reducemyins-skyvern","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"}}