{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-onestep-puppeteer-mcp-server","slug":"npm-onestep-puppeteer-mcp-server","name":"onestep-puppeteer-mcp-server","type":"mcp","url":"https://www.npmjs.com/package/onestep-puppeteer-mcp-server","page_url":"https://unfragile.ai/npm-onestep-puppeteer-mcp-server","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-onestep-puppeteer-mcp-server__cap_0","uri":"capability://tool.use.integration.headless.browser.automation.via.mcp","name":"headless-browser-automation-via-mcp","description":"Exposes Puppeteer browser automation capabilities through the Model Context Protocol (MCP), allowing LLM agents to control headless Chrome/Chromium instances via standardized tool calls. Implements MCP server transport layer that translates LLM function-calling requests into Puppeteer API invocations, managing browser lifecycle (launch, navigation, interaction) and returning structured results back to the agent context.","intents":["I want my LLM agent to autonomously navigate websites and extract data without writing custom browser control code","I need to automate web scraping, form filling, and screenshot capture triggered by LLM reasoning","I want to integrate browser automation into an agentic workflow where the LLM decides what web actions to take"],"best_for":["LLM application developers building autonomous web agents","Teams integrating Puppeteer automation into Claude/GPT-based workflows","Researchers prototyping browser-based task automation with language models"],"limitations":["Experimental/unstable — not production-ready, API may change without notice","Single browser instance per MCP server process — no built-in multi-browser concurrency management","No persistent session state across MCP server restarts — browser context is ephemeral","Puppeteer requires significant memory overhead (typically 100-300MB per browser instance)","No built-in timeout or resource limits — long-running automation can exhaust system resources"],"requires":["Node.js 14+ (Puppeteer compatibility)","MCP client implementation (e.g., Claude Desktop, custom MCP client)","Chrome/Chromium binary or Puppeteer bundled Chromium","Sufficient system memory for headless browser instances"],"input_types":["text (URLs, selectors, text input)","structured data (navigation parameters, form field mappings)"],"output_types":["text (page content, extracted text)","structured data (JSON from page parsing)","binary (screenshots as base64 or file paths)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-onestep-puppeteer-mcp-server__cap_1","uri":"capability://tool.use.integration.page.navigation.and.content.retrieval","name":"page-navigation-and-content-retrieval","description":"Implements Puppeteer navigation primitives (goto, reload, back, forward) with configurable wait conditions (networkidle, domcontentloaded, load) and returns full page content (HTML, text, metadata). Handles navigation timeouts, error states, and page load detection to ensure reliable content retrieval before proceeding with further automation steps.","intents":["I want to navigate to a URL and wait for the page to fully load before extracting data","I need to handle navigation failures gracefully and retry or report errors to the agent","I want to retrieve both raw HTML and extracted text content from a page for analysis"],"best_for":["Web scraping workflows where page load state matters","Multi-step navigation scenarios (crawling site hierarchies)","Agents that need to verify page state before proceeding"],"limitations":["No built-in JavaScript execution context inspection — can't directly query page state from agent","Wait conditions are Puppeteer defaults — no custom wait logic (e.g., wait for specific element visibility)","Large pages (>10MB HTML) may cause memory pressure or slow content return","No incremental/streaming content delivery — entire page must be loaded before returning to agent"],"requires":["Active Puppeteer browser instance","Valid URL or page context from prior navigation","Network connectivity for remote URLs"],"input_types":["text (URL string)","text (navigation options: waitUntil, timeout)"],"output_types":["text (HTML content)","text (extracted plain text)","structured data (page metadata: title, URL, status code)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-onestep-puppeteer-mcp-server__cap_2","uri":"capability://tool.use.integration.dom.element.interaction.and.selection","name":"dom-element-interaction-and-selection","description":"Provides CSS/XPath selector-based element interaction (click, type, focus, hover) and element property retrieval (text, attributes, visibility). Uses Puppeteer's page.$(selector) and page.$$(selector) for element discovery, then invokes actions with error handling for missing/invisible elements. Returns interaction results and element state snapshots to the agent.","intents":["I want to click buttons, fill form fields, and submit forms based on page structure","I need to find elements by CSS selector or XPath and verify they exist before interacting","I want to extract element attributes, text content, and visibility state for conditional logic"],"best_for":["Form automation and web application testing","Dynamic page interaction where agent must locate and act on elements","Workflows requiring element state inspection before action"],"limitations":["Selector-based interaction requires agent to know or infer correct CSS/XPath selectors","No built-in accessibility tree parsing — can't easily discover interactive elements by role/label","Invisible/hidden elements may be selectable but not interactable — no automatic visibility validation","No multi-element batch operations — each interaction is a separate tool call","Timing issues: element may disappear between selection and interaction (race condition)"],"requires":["Active Puppeteer page context","Valid CSS selector or XPath expression","Target element must exist in DOM (may be hidden)"],"input_types":["text (CSS selector or XPath)","text (input text for typing)","structured data (interaction options: delay, timeout)"],"output_types":["text (element text content)","structured data (element attributes, bounding box)","boolean (visibility, interactability state)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-onestep-puppeteer-mcp-server__cap_3","uri":"capability://image.visual.screenshot.and.visual.capture","name":"screenshot-and-visual-capture","description":"Captures full-page or viewport screenshots via Puppeteer's page.screenshot() with configurable options (format, quality, clip region). Returns images as base64-encoded strings or file paths, enabling agents to visually inspect page state or verify automation results. Supports full-page scrolling capture and region-specific screenshots.","intents":["I want to capture a screenshot of the current page state for visual verification or logging","I need to take a screenshot of a specific region (e.g., form, modal) for analysis","I want to generate visual evidence of automation steps for debugging or reporting"],"best_for":["Visual testing and verification workflows","Debugging agent behavior by inspecting rendered page state","Generating reports or audit trails with visual evidence"],"limitations":["Screenshots are static — no interactive element detection from image alone","Large full-page screenshots can be memory-intensive (100+ MB for very long pages)","Base64 encoding adds ~33% size overhead vs binary format","No built-in image analysis — agent must use separate vision model to interpret screenshots","Timing: screenshot captures current render state; dynamic content may not be visible"],"requires":["Active Puppeteer page context","Sufficient memory for image buffer (typically 1-10MB per screenshot)","Optional: file system access if returning file paths instead of base64"],"input_types":["structured data (screenshot options: format, quality, clip region, fullPage)"],"output_types":["binary (image as base64 string or file path)","structured data (image metadata: width, height, format)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-onestep-puppeteer-mcp-server__cap_4","uri":"capability://tool.use.integration.page.content.evaluation.and.javascript.execution","name":"page-content-evaluation-and-javascript-execution","description":"Executes arbitrary JavaScript in the page context via Puppeteer's page.evaluate() and page.evaluateHandle(), returning serialized results. Enables agents to run custom scripts for data extraction, DOM manipulation, or state inspection without separate tool calls. Handles serialization of return values (primitives, objects, arrays) and error propagation.","intents":["I want to run custom JavaScript to extract complex data structures from the page","I need to execute page-specific logic (e.g., trigger React state updates) before extracting data","I want to inspect JavaScript runtime state (window variables, computed styles) for conditional logic"],"best_for":["Complex data extraction from JavaScript-heavy applications","Workflows requiring page-specific custom logic","Agents that need to inspect or manipulate page state programmatically"],"limitations":["JavaScript execution is sandboxed to page context — can't access Node.js APIs or external resources","Return values must be serializable (JSON-compatible) — functions, DOM nodes, etc. cannot be returned","No timeout enforcement on evaluate() calls — long-running scripts can block the agent","Script errors are propagated but may lack context about what failed","Security risk if agent-generated scripts are executed without validation"],"requires":["Active Puppeteer page context","JavaScript code as string (agent must generate or provide)","Return value must be JSON-serializable"],"input_types":["text (JavaScript code as string)","structured data (function arguments)"],"output_types":["text (string results)","structured data (objects, arrays, primitives)","null (if script returns undefined)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-onestep-puppeteer-mcp-server__cap_5","uri":"capability://tool.use.integration.mcp.protocol.transport.and.tool.discovery","name":"mcp-protocol-transport-and-tool-discovery","description":"Implements MCP server transport layer (stdio or HTTP) that exposes browser automation capabilities as discoverable tools and resources. Handles MCP protocol handshake, tool schema definition, and request/response marshaling. Allows MCP clients (Claude, custom agents) to discover available browser operations and invoke them with type-safe parameters.","intents":["I want to integrate this browser automation server with my MCP client without custom protocol code","I need to discover what browser operations are available and their parameter schemas","I want to invoke browser automation tools from my LLM agent using standard MCP function calling"],"best_for":["Developers building MCP-compatible LLM agents","Teams using Claude Desktop or other MCP clients","Researchers prototyping agent workflows with standardized tool interfaces"],"limitations":["MCP protocol overhead adds latency (~50-100ms per tool call for serialization/deserialization)","No built-in authentication — MCP server is accessible to any client with network access","Tool schemas are static — no dynamic capability discovery based on browser state","Error handling relies on MCP error format — may lose Puppeteer-specific error context","No streaming responses — all results must be buffered before returning to client"],"requires":["MCP client implementation (Claude Desktop, custom MCP client library)","Node.js runtime for MCP server process","Network connectivity (stdio or HTTP transport)"],"input_types":["structured data (MCP tool call with parameters)"],"output_types":["structured data (MCP tool result with content and metadata)"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-onestep-puppeteer-mcp-server__cap_6","uri":"capability://automation.workflow.browser.lifecycle.management","name":"browser-lifecycle-management","description":"Manages browser instance lifecycle (launch, close, context creation) through MCP tool calls. Handles browser initialization with configurable options (headless mode, viewport size, user agent) and graceful shutdown. Maintains single browser instance per server process with context isolation for multi-step workflows.","intents":["I want to start a browser instance with specific configuration (headless, viewport, user agent)","I need to cleanly close the browser and release resources when automation is complete","I want to create isolated browser contexts for parallel or independent workflows"],"best_for":["Long-running agent workflows that need persistent browser state","Scenarios requiring specific browser configuration (viewport, user agent)","Multi-step automation where browser context must survive across tool calls"],"limitations":["Single browser instance per server — no built-in multi-browser concurrency","Browser launch is synchronous and blocking — can take 2-5 seconds per instance","No automatic browser restart on crash — manual recovery required","Context isolation is limited — shared cookies/storage across contexts in same browser","No resource limits — runaway browser processes can exhaust system memory"],"requires":["Node.js process with sufficient memory (100-300MB per browser)","Chrome/Chromium binary or Puppeteer bundled Chromium","File system access for browser cache/data directories"],"input_types":["structured data (browser launch options: headless, viewport, userAgent, args)"],"output_types":["structured data (browser instance metadata: pid, version)","boolean (success/failure of launch or close)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-onestep-puppeteer-mcp-server__cap_7","uri":"capability://automation.workflow.cookie.and.session.management","name":"cookie-and-session-management","description":"Provides tools to get, set, and delete cookies and local storage via Puppeteer's page.cookies() and page.evaluate() APIs. Enables agents to persist authentication state, manage sessions, and handle cookie-based workflows. Supports cookie serialization/deserialization for cross-session reuse.","intents":["I want to log in once and reuse the session across multiple page navigations","I need to set specific cookies (e.g., tracking, preferences) before navigating to a page","I want to extract and store cookies for later session restoration"],"best_for":["Multi-step workflows requiring persistent authentication","Scenarios where login state must be preserved across agent steps","Testing workflows that need to simulate returning users"],"limitations":["Cookies are browser-instance-specific — not persisted across server restarts","No built-in cookie encryption — sensitive data (auth tokens) stored in plain text","Local storage access requires JavaScript execution — more complex than cookie APIs","Cookie domain/path validation is browser-enforced — agents can't bypass security restrictions","No automatic cookie refresh — agents must manually handle cookie expiration"],"requires":["Active Puppeteer browser instance","Page context (cookies are per-page/domain)","Valid cookie format (name, value, domain, path, etc.)"],"input_types":["structured data (cookie object: name, value, domain, path, expires)","text (cookie name for deletion)"],"output_types":["structured data (array of cookie objects)","boolean (success of set/delete operation)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"high","permissions":["Node.js 14+ (Puppeteer compatibility)","MCP client implementation (e.g., Claude Desktop, custom MCP client)","Chrome/Chromium binary or Puppeteer bundled Chromium","Sufficient system memory for headless browser instances","Active Puppeteer browser instance","Valid URL or page context from prior navigation","Network connectivity for remote URLs","Active Puppeteer page context","Valid CSS selector or XPath expression","Target element must exist in DOM (may be hidden)"],"failure_modes":["Experimental/unstable — not production-ready, API may change without notice","Single browser instance per MCP server process — no built-in multi-browser concurrency management","No persistent session state across MCP server restarts — browser context is ephemeral","Puppeteer requires significant memory overhead (typically 100-300MB per browser instance)","No built-in timeout or resource limits — long-running automation can exhaust system resources","No built-in JavaScript execution context inspection — can't directly query page state from agent","Wait conditions are Puppeteer defaults — no custom wait logic (e.g., wait for specific element visibility)","Large pages (>10MB HTML) may cause memory pressure or slow content return","No incremental/streaming content delivery — entire page must be loaded before returning to agent","Selector-based interaction requires agent to know or infer correct CSS/XPath selectors","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":"2026-05-24T12:16:23.904Z","last_scraped_at":"2026-05-03T14:23:43.037Z","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-onestep-puppeteer-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=npm-onestep-puppeteer-mcp-server"}},"signature":"bN83yKRSMsIyzC7osUHRv5LSv5ccGF7FTjxx479MdJ9vxExrg0Lt2dRmW6HO0nayss/uwp2pkVszVFmmfm8GBg==","signedAt":"2026-06-22T15:29:50.529Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-onestep-puppeteer-mcp-server","artifact":"https://unfragile.ai/npm-onestep-puppeteer-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=npm-onestep-puppeteer-mcp-server","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"}}