{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github_mcp-zhizhuodemao-js-reverse-mcp","slug":"mcp-zhizhuodemao-js-reverse-mcp","name":"js-reverse-mcp","type":"mcp","url":"https://github.com/zhizhuodemao/js-reverse-mcp","page_url":"https://unfragile.ai/mcp-zhizhuodemao-js-reverse-mcp","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github_mcp-zhizhuodemao-js-reverse-mcp__cap_0","uri":"capability://tool.use.integration.browser.automation.via.chrome.devtools.protocol.with.anti.detection","name":"browser automation via chrome devtools protocol with anti-detection","description":"Executes JavaScript code in a real Chrome/Chromium browser context through the Chrome DevTools Protocol (CDP), with built-in anti-detection mechanisms to evade bot-detection scripts. Implements stealth headers, user-agent spoofing, and WebDriver property masking to appear as legitimate browser traffic rather than automated tooling. Rebuilt from chrome-devtools-mcp architecture to optimize for AI agent workflows.","intents":["Execute JavaScript in a real browser environment without triggering anti-bot detection","Automate web scraping tasks that require JavaScript rendering and interaction","Test web applications in headless mode while avoiding detection by security scripts","Interact with dynamic websites that block obvious automation attempts"],"best_for":["AI agents performing web scraping and data extraction from protected sites","Teams building reverse-engineering tools that need to bypass anti-bot measures","Developers testing JavaScript execution in realistic browser conditions"],"limitations":["Anti-detection is cat-and-mouse game — sophisticated detection systems may still identify automation","Requires local Chrome/Chromium installation, cannot run in serverless environments without container support","Performance overhead from anti-detection mechanisms adds 500ms-2s per request compared to raw CDP","Limited to single-threaded execution per browser instance; concurrent tasks require multiple browser processes"],"requires":["Chrome or Chromium browser (v90+)","Node.js 16+","MCP client implementation (Claude, custom agent framework)","Network access to target websites"],"input_types":["JavaScript code (string)","URL (string)","Browser interaction commands (JSON)","CSS selectors (string)"],"output_types":["JavaScript execution results (JSON)","DOM content (HTML string)","Screenshot data (base64 or PNG)","Network request logs (JSON)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-zhizhuodemao-js-reverse-mcp__cap_1","uri":"capability://tool.use.integration.mcp.native.tool.schema.generation.for.browser.operations","name":"mcp-native tool schema generation for browser operations","description":"Automatically generates Model Context Protocol (MCP) tool definitions from browser capabilities, exposing Chrome DevTools operations as callable functions with strict JSON schemas. Handles parameter validation, return type serialization, and error mapping to MCP protocol standards. Enables AI agents to discover and invoke browser operations through standard MCP tool-calling interface without manual schema authoring.","intents":["Expose browser automation capabilities as discoverable MCP tools for AI agents","Generate type-safe function signatures for browser operations with schema validation","Enable agents to call browser functions with parameter validation before execution","Integrate browser automation into multi-tool agent workflows seamlessly"],"best_for":["AI agent frameworks (Claude, custom LLM agents) that support MCP tool calling","Teams building agent-first automation platforms requiring browser interaction","Developers integrating browser automation into larger MCP tool ecosystems"],"limitations":["Schema generation limited to predefined browser operations; custom CDP commands require manual schema definition","No runtime type coercion — agents must pass correctly-typed parameters or calls fail","Schema complexity can exceed token budgets for agents with limited context windows"],"requires":["MCP client/server implementation","AI model with tool-calling support (Claude 3+, GPT-4, etc.)","JSON schema validation library (built-in to Node.js)"],"input_types":["Browser operation names (string)","Operation parameters (JSON matching schema)","Tool discovery requests (MCP protocol)"],"output_types":["MCP tool definitions (JSON schema)","Tool call results (JSON)","Error messages (JSON with error codes)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-zhizhuodemao-js-reverse-mcp__cap_10","uri":"capability://automation.workflow.error.handling.and.recovery.with.automatic.retry.logic","name":"error handling and recovery with automatic retry logic","description":"Implements automatic retry logic for transient failures (network timeouts, element not found, navigation failures) with exponential backoff. Provides detailed error context (error type, stack trace, recovery action) for agent decision-making. Supports custom retry predicates for domain-specific failure handling. Distinguishes between recoverable and fatal errors.","intents":["Automatically retry failed operations (navigation, clicks, extractions) without agent intervention","Provide detailed error context for agents to make recovery decisions","Handle transient network failures gracefully with exponential backoff","Distinguish between recoverable errors (retry) and fatal errors (abort)"],"best_for":["Scraping agents operating on unreliable networks or flaky websites","Long-running automation workflows requiring resilience to transient failures","Testing agents validating error handling and recovery behavior"],"limitations":["Retry logic adds latency (exponential backoff can exceed 30s for max retries)","Custom retry predicates require JavaScript code; limited to predefined predicates otherwise","Retry exhaustion still results in failure; no fallback mechanisms","Some errors (authentication failures) should not be retried but are treated as transient"],"requires":["Retry configuration (max attempts, backoff strategy)","Error classification (recoverable vs fatal)","Custom retry predicate (optional, JavaScript function)"],"input_types":["Max retry attempts (number, default 3)","Backoff strategy (exponential, linear, fixed)","Retry predicate (JavaScript function or error type list)"],"output_types":["Retry result (success after retries, or final failure)","Error details (type, message, stack trace)","Retry metadata (attempt count, total duration, backoff delays)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-zhizhuodemao-js-reverse-mcp__cap_11","uri":"capability://automation.workflow.performance.monitoring.and.resource.usage.tracking","name":"performance monitoring and resource usage tracking","description":"Tracks browser performance metrics (page load time, JavaScript execution time, network latency) and resource usage (memory, CPU, network bandwidth). Provides performance data in structured format for agent analysis. Enables agents to make performance-aware decisions (skip slow pages, optimize workflows). Supports performance budgets and alerts.","intents":["Monitor page load performance to identify slow or problematic sites","Track resource usage to prevent browser from consuming excessive memory/CPU","Make performance-aware decisions (skip slow pages, optimize extraction)","Generate performance reports for workflow optimization"],"best_for":["Large-scale scraping agents optimizing for performance and cost","Monitoring systems tracking browser health and resource usage","Performance testing frameworks validating page load behavior"],"limitations":["Performance metrics are approximate; CDP measurements may differ from real user metrics","Resource tracking adds 5-10% overhead to browser operations","No built-in alerting; agents must implement threshold checks","Performance data is session-specific; no cross-session aggregation"],"requires":["Performance monitoring enabled (boolean flag)","Metrics to track (page load, JS execution, network latency, memory, CPU)","Performance budget thresholds (optional)"],"input_types":["Metrics to track (array of metric names)","Performance budget (threshold values)","Sampling rate (percentage of operations to monitor)"],"output_types":["Performance metrics (JSON with timing and resource data)","Performance summary (average, min, max, percentiles)","Resource usage snapshot (memory, CPU, network bandwidth)","Performance alerts (if thresholds exceeded)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-zhizhuodemao-js-reverse-mcp__cap_2","uri":"capability://code.generation.editing.javascript.code.execution.in.browser.context.with.result.serialization","name":"javascript code execution in browser context with result serialization","description":"Executes arbitrary JavaScript code within a real browser's JavaScript engine (V8 via Chrome), capturing return values, console output, and errors, then serializes results back to JSON for agent consumption. Handles async/await execution, Promise resolution, and complex object serialization. Provides execution timeout and memory limits to prevent runaway scripts from blocking the MCP server.","intents":["Execute JavaScript snippets to extract data from DOM or perform calculations","Run async operations (fetch, timers) within browser context and retrieve results","Test JavaScript code behavior in real browser environment vs Node.js","Capture console logs and errors from executed code for debugging"],"best_for":["Web scraping agents that need to extract computed/rendered data from JavaScript-heavy sites","Testing frameworks validating JavaScript behavior in browser context","Agents performing complex DOM manipulation and data extraction"],"limitations":["Serialization of complex objects (DOM nodes, functions, circular references) loses type information","Execution timeout (typically 30s) prevents long-running operations; no streaming results","Cannot access browser APIs that require user interaction (file dialogs, permissions)","Memory limits per execution may fail on large data processing tasks"],"requires":["Chrome/Chromium browser instance","JavaScript code as string","Timeout configuration (default 30s)"],"input_types":["JavaScript code (string)","Execution context (URL/page state)"],"output_types":["Execution result (JSON-serialized)","Console output (string array)","Error stack traces (string)","Execution metadata (duration, memory used)"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-zhizhuodemao-js-reverse-mcp__cap_3","uri":"capability://automation.workflow.dom.querying.and.element.interaction.with.css.selectors","name":"dom querying and element interaction with css selectors","description":"Provides high-level DOM query operations (select, find, filter) using CSS selectors, with built-in element interaction methods (click, type, scroll, hover). Abstracts low-level CDP commands into agent-friendly operations that return structured element metadata (text, attributes, position). Handles dynamic element waiting and stale element recovery.","intents":["Query DOM elements by CSS selector and extract text/attributes for data extraction","Interact with page elements (click buttons, fill forms, scroll) without writing raw JavaScript","Wait for dynamic elements to appear before interacting with them","Navigate multi-step workflows (click → wait → extract) through agent tool calls"],"best_for":["Web scraping agents extracting structured data from rendered pages","Automation agents performing form filling and navigation workflows","Non-JavaScript-fluent developers building browser automation agents"],"limitations":["CSS selector limitations — complex XPath queries not supported","Element interaction assumes stable DOM; rapid DOM changes may cause stale element errors","No built-in retry logic for flaky interactions; agents must implement retry workflows","Limited to visible elements; hidden/display:none elements may not interact correctly"],"requires":["CSS selector syntax knowledge","Target page loaded in browser context","Element must be in viewport or scrollable to"],"input_types":["CSS selector (string)","Interaction type (click, type, scroll, hover)","Text input for typing (string)","Coordinates for scroll (number)"],"output_types":["Element metadata (text, tag, attributes, position)","Element list (array of metadata)","Interaction result (success/failure)","Screenshot with element highlighted (base64)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-zhizhuodemao-js-reverse-mcp__cap_4","uri":"capability://automation.workflow.page.navigation.and.history.management.with.wait.conditions","name":"page navigation and history management with wait conditions","description":"Handles page navigation (goto, reload, back, forward) with configurable wait conditions (wait for load, network idle, specific elements). Tracks navigation history and page state, enabling agents to understand page transitions. Implements timeout handling for navigation failures and provides detailed navigation metadata (URL, title, load time).","intents":["Navigate to URLs and wait for page to fully load before proceeding","Implement multi-step workflows (navigate → wait → extract → navigate) in agent chains","Handle navigation failures gracefully with timeout and retry logic","Track page state and history for agent decision-making"],"best_for":["Multi-step web scraping workflows requiring sequential page navigation","Agents implementing complex user journeys (login → browse → extract)","Testing frameworks validating page load behavior and transitions"],"limitations":["Wait conditions are binary (load/idle/element) — no custom wait predicates","Navigation timeout applies globally; no per-navigation timeout configuration","History limited to current session; no persistence across browser restarts","Redirect chains may exceed timeout if target site is slow"],"requires":["Valid URL (http/https)","Wait condition type (load, idle, element selector)","Timeout value (milliseconds, default 30000)"],"input_types":["URL (string)","Wait condition (enum: load, idle, element)","CSS selector for element wait (string)","Timeout (number)"],"output_types":["Navigation result (success/failure)","Page metadata (URL, title, load time)","Navigation history (array of URLs)","Error details if navigation failed"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-zhizhuodemao-js-reverse-mcp__cap_5","uri":"capability://image.visual.screenshot.capture.and.visual.element.detection","name":"screenshot capture and visual element detection","description":"Captures full-page or viewport screenshots as base64-encoded PNG/JPEG, with optional element highlighting and annotation. Provides visual feedback for agent workflows, enabling agents to understand page layout and validate visual state. Supports viewport size configuration and device emulation for responsive testing.","intents":["Capture visual state of page for agent decision-making and debugging","Highlight specific elements in screenshots for verification workflows","Validate visual layout changes after interactions (click, scroll, form fill)","Generate visual documentation of agent workflows"],"best_for":["Visual validation agents that need to verify page state before proceeding","Debugging tools for agent workflows requiring visual inspection","Testing frameworks validating responsive design across viewports"],"limitations":["Screenshot encoding to base64 adds 100-500ms overhead per capture","Large screenshots (full-page) can exceed token limits in agent context windows","Element highlighting requires additional CDP calls, increasing latency","No OCR or text extraction from screenshots; visual-only"],"requires":["Page loaded in browser context","Viewport size configuration (optional, defaults to 1280x720)","Screenshot format (PNG or JPEG)"],"input_types":["Screenshot type (full-page, viewport)","Viewport dimensions (width, height)","Element selectors to highlight (CSS selector array)","Format (PNG, JPEG)"],"output_types":["Screenshot data (base64-encoded string)","Screenshot metadata (dimensions, format, file size)","Element positions in screenshot (coordinates)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-zhizhuodemao-js-reverse-mcp__cap_6","uri":"capability://automation.workflow.network.request.interception.and.response.mocking","name":"network request interception and response mocking","description":"Intercepts HTTP/HTTPS requests at the network layer (via CDP Network domain), enabling agents to inspect, modify, or mock responses. Supports request filtering by URL pattern, method, and headers. Allows response injection (mock data, error responses) without modifying page code. Useful for testing error scenarios, bypassing API calls, or injecting test data.","intents":["Mock API responses to test error handling without hitting real APIs","Intercept and log network requests for debugging agent workflows","Inject test data into page by mocking API responses","Bypass external API calls during scraping to improve performance"],"best_for":["Testing agents that need to simulate API failures and edge cases","Scraping agents that want to avoid hitting rate-limited APIs","Development teams validating agent behavior with controlled test data"],"limitations":["Request interception adds 50-200ms latency per request","Complex response mocking (streaming, chunked encoding) not fully supported","Cannot intercept WebSocket or Server-Sent Events","Interception rules are session-specific; no persistence across browser restarts"],"requires":["URL pattern for filtering (regex or string match)","Mock response data (JSON or raw content)","HTTP status code (default 200)"],"input_types":["Request filter (URL pattern, method, headers)","Mock response (JSON, HTML, or raw content)","HTTP status code (number)","Response headers (key-value pairs)"],"output_types":["Intercepted request metadata (URL, method, headers, body)","Response injection result (success/failure)","Network log (array of intercepted requests)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-zhizhuodemao-js-reverse-mcp__cap_7","uri":"capability://automation.workflow.cookie.and.local.storage.management","name":"cookie and local storage management","description":"Manages browser cookies and localStorage/sessionStorage with get/set/delete operations. Enables agents to persist authentication state, manage session tokens, and simulate user preferences. Supports cookie attributes (domain, path, expiry, secure, httpOnly) for realistic cookie handling. Useful for maintaining logged-in state across multiple page navigations.","intents":["Store and retrieve authentication tokens to maintain logged-in state across navigations","Simulate user preferences by setting localStorage values","Manage session cookies for multi-step workflows","Test cookie-based functionality without manual login"],"best_for":["Scraping agents that need to maintain authentication across multiple pages","Testing agents validating cookie-based session management","Automation workflows requiring persistent user state"],"limitations":["Cookies are browser-instance-specific; no cross-browser persistence","localStorage/sessionStorage limited to same-origin policy","Cookie expiry is client-side only; server-side expiry not enforced","No built-in cookie encryption; sensitive tokens stored in plaintext"],"requires":["Cookie name and value (strings)","Domain for cookie (string, defaults to current domain)","Expiry time (optional, Unix timestamp)"],"input_types":["Cookie name (string)","Cookie value (string)","Cookie attributes (domain, path, expiry, secure, httpOnly)","Storage key (for localStorage/sessionStorage)"],"output_types":["Cookie list (array of cookie objects)","Storage value (string or JSON)","Operation result (success/failure)"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-zhizhuodemao-js-reverse-mcp__cap_8","uri":"capability://data.processing.analysis.page.content.extraction.with.structured.data.parsing","name":"page content extraction with structured data parsing","description":"Extracts page content (HTML, text, structured data) with optional parsing into structured formats (JSON, CSV). Supports CSS selector-based extraction, XPath queries, and JSON-LD/microdata parsing. Handles encoding detection and text normalization. Provides both raw HTML and parsed structured output for agent consumption.","intents":["Extract structured data (products, articles, metadata) from pages using selectors","Parse JSON-LD or microdata embedded in pages for semantic extraction","Convert page content to structured formats (JSON, CSV) for downstream processing","Extract text content with whitespace normalization for NLP tasks"],"best_for":["Web scraping agents extracting structured data from e-commerce, news, or content sites","Data extraction pipelines converting unstructured HTML to structured formats","Agents performing semantic data extraction using JSON-LD or microdata"],"limitations":["CSS selector extraction limited to static selectors; no dynamic/computed selectors","XPath support depends on CDP implementation; complex XPath may fail","JSON-LD parsing assumes valid JSON; malformed data causes parsing errors","Text extraction loses formatting (bold, italics, lists); returns plain text only"],"requires":["CSS selector or XPath for extraction","Target page loaded in browser","Output format (HTML, text, JSON, CSV)"],"input_types":["CSS selector (string)","XPath query (string)","Extraction type (text, html, json-ld, microdata)","Output format (JSON, CSV, plain text)"],"output_types":["Extracted content (string or structured JSON)","Parsed data (JSON array for structured extraction)","Metadata (extraction count, encoding, timestamp)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-zhizhuodemao-js-reverse-mcp__cap_9","uri":"capability://automation.workflow.browser.session.persistence.and.state.management","name":"browser session persistence and state management","description":"Manages browser session lifecycle (create, reuse, destroy) with optional state persistence across restarts. Enables agents to maintain browser context (cookies, localStorage, history) between tool calls. Supports session pooling for concurrent agent tasks. Provides session metadata (creation time, last activity, resource usage) for monitoring.","intents":["Maintain browser state across multiple agent tool calls without restarting browser","Reuse authenticated sessions across different scraping tasks","Pool browser instances for concurrent agent workflows","Monitor browser resource usage and session health"],"best_for":["Long-running agent workflows requiring persistent browser state","Multi-agent systems sharing browser resources through session pooling","Scraping agents that need to maintain authentication across tasks"],"limitations":["Session persistence requires local storage; no cloud-based session sharing","Session pooling adds complexity; concurrent access to same session may cause race conditions","Browser memory grows over time; long-lived sessions may leak memory","Session state not encrypted; sensitive data (tokens) stored in plaintext"],"requires":["Session ID (string, auto-generated if not provided)","Persistence storage (local filesystem or database)","Session timeout configuration (milliseconds)"],"input_types":["Session ID (string)","Session creation options (headless, viewport, user-agent)","Persistence flag (boolean)"],"output_types":["Session metadata (ID, creation time, last activity, resource usage)","Session state (cookies, localStorage, history)","Session list (for pooling/monitoring)"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":44,"verified":false,"data_access_risk":"high","permissions":["Chrome or Chromium browser (v90+)","Node.js 16+","MCP client implementation (Claude, custom agent framework)","Network access to target websites","MCP client/server implementation","AI model with tool-calling support (Claude 3+, GPT-4, etc.)","JSON schema validation library (built-in to Node.js)","Retry configuration (max attempts, backoff strategy)","Error classification (recoverable vs fatal)","Custom retry predicate (optional, JavaScript function)"],"failure_modes":["Anti-detection is cat-and-mouse game — sophisticated detection systems may still identify automation","Requires local Chrome/Chromium installation, cannot run in serverless environments without container support","Performance overhead from anti-detection mechanisms adds 500ms-2s per request compared to raw CDP","Limited to single-threaded execution per browser instance; concurrent tasks require multiple browser processes","Schema generation limited to predefined browser operations; custom CDP commands require manual schema definition","No runtime type coercion — agents must pass correctly-typed parameters or calls fail","Schema complexity can exceed token budgets for agents with limited context windows","Retry logic adds latency (exponential backoff can exceed 30s for max retries)","Custom retry predicates require JavaScript code; limited to predefined predicates otherwise","Retry exhaustion still results in failure; no fallback mechanisms","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.4472221549074421,"quality":0.49,"ecosystem":0.39999999999999997,"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":"2026-05-24T12:16:22.066Z","last_scraped_at":"2026-05-03T14:23:44.761Z","last_commit":"2026-04-24T09:44:02Z"},"community":{"stars":1076,"forks":179,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcp-zhizhuodemao-js-reverse-mcp","compare_url":"https://unfragile.ai/compare?artifact=mcp-zhizhuodemao-js-reverse-mcp"}},"signature":"U2GqOh6zTsYtCNQDTsXmRBKHcB0Zj53tNSP8vBgYwEq4RneV8rVCXZB8FngElTtI5g7kfOCh9Y2ylNAXoGRFAw==","signedAt":"2026-06-20T02:49:31.531Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-zhizhuodemao-js-reverse-mcp","artifact":"https://unfragile.ai/mcp-zhizhuodemao-js-reverse-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=mcp-zhizhuodemao-js-reverse-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"}}