{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-screenshotone","slug":"screenshotone","name":"ScreenshotOne","type":"mcp","url":"https://github.com/screenshotone/mcp/","page_url":"https://unfragile.ai/screenshotone","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-screenshotone__cap_0","uri":"capability://tool.use.integration.mcp.based.website.screenshot.rendering.with.screenshotone.api","name":"mcp-based website screenshot rendering with screenshotone api","description":"Exposes ScreenshotOne's cloud-based screenshot rendering service through the Model Context Protocol (MCP) interface, enabling LLM agents and Claude instances to invoke website-to-image conversion as a native tool. The implementation wraps ScreenshotOne's REST API endpoints within MCP's standardized tool schema, allowing declarative screenshot requests with parameters like viewport dimensions, wait times, and rendering options passed through the MCP transport layer.","intents":["I want my Claude agent to capture website screenshots as part of an automated workflow without managing API calls directly","I need to render a website to an image and pass that visual output to an LLM for analysis or documentation","I want to integrate website rendering into a multi-step MCP-based agent pipeline alongside other tools"],"best_for":["AI agent developers building Claude-integrated automation workflows","Teams using MCP servers to compose multi-tool agent capabilities","Developers who want declarative, schema-driven screenshot APIs without custom HTTP handling"],"limitations":["Requires valid ScreenshotOne API credentials and active subscription; free tier may have rate limits or feature restrictions","Screenshot rendering latency depends on ScreenshotOne's cloud infrastructure and website complexity; no local rendering option","MCP transport overhead adds ~100-300ms per request compared to direct REST API calls","No built-in caching or batch screenshot operations; each request is independent","Limited to ScreenshotOne's supported rendering options; cannot customize browser engine or rendering pipeline"],"requires":["ScreenshotOne API key (obtain from https://screenshotone.com/)","MCP client implementation (Claude Desktop, custom MCP host, or compatible LLM framework)","Network connectivity to ScreenshotOne cloud endpoints","Node.js 16+ or Python 3.8+ (depending on MCP server runtime)"],"input_types":["URL string (website to render)","JSON configuration object (viewport width/height, wait time, device type, etc.)"],"output_types":["image/png (screenshot binary data)","image/jpeg (optional format)","structured metadata (rendering status, dimensions, timestamp)"],"categories":["tool-use-integration","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-screenshotone__cap_1","uri":"capability://image.visual.parameterized.website.rendering.with.viewport.and.device.emulation","name":"parameterized website rendering with viewport and device emulation","description":"Allows callers to specify rendering parameters including viewport dimensions, device type emulation (mobile/desktop/tablet), wait conditions (page load, network idle), and custom headers through the MCP tool interface. These parameters are translated into ScreenshotOne API request payloads, enabling context-aware screenshot capture for responsive design testing, mobile preview generation, and conditional rendering scenarios.","intents":["I need to capture how a website looks on mobile vs desktop without manually opening different browsers","I want to wait for dynamic content to load before capturing a screenshot","I need to emulate specific device types or user agents for testing responsive layouts"],"best_for":["QA engineers automating visual regression testing through agent workflows","Web developers validating responsive design across device types","Content creators generating device-specific website previews for documentation"],"limitations":["Device emulation is limited to ScreenshotOne's predefined device profiles; custom user agents require manual header injection","Wait conditions (e.g., 'wait for element') are limited to timeout-based waits; no CSS selector-based wait triggers","Viewport parameters map directly to ScreenshotOne's API; unsupported dimensions may be rounded or clamped","No support for JavaScript execution or DOM manipulation before screenshot capture"],"requires":["ScreenshotOne API key with device emulation feature enabled","MCP client supporting tool parameter schemas","Knowledge of target viewport dimensions and device types"],"input_types":["URL string","viewport_width: integer (pixels)","viewport_height: integer (pixels)","device_type: enum (mobile|tablet|desktop)","wait_time: integer (milliseconds)","custom_headers: object (key-value pairs)"],"output_types":["image/png with specified viewport dimensions","metadata object (actual rendered dimensions, device used, wait duration)"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-screenshotone__cap_2","uri":"capability://automation.workflow.asynchronous.screenshot.request.handling.with.status.polling","name":"asynchronous screenshot request handling with status polling","description":"Implements non-blocking screenshot capture by submitting requests to ScreenshotOne and polling for completion status through the MCP interface. The MCP server manages request state and timeout logic, allowing agents to submit screenshot jobs and retrieve results without blocking the agent's execution thread. Polling intervals and timeout thresholds are configurable to balance latency and resource usage.","intents":["I want to request a screenshot and continue with other tasks while it renders","I need to handle long-running screenshot operations without blocking my agent","I want to batch multiple screenshot requests and collect results asynchronously"],"best_for":["Agent developers building multi-step workflows with concurrent screenshot operations","Systems requiring high throughput of screenshot requests with minimal blocking","Applications where screenshot latency is acceptable but agent responsiveness is critical"],"limitations":["Polling adds latency compared to synchronous rendering; typical polling interval is 500ms-2s","No webhook/callback support; polling is the only status check mechanism","Request state is not persisted; agent restart loses in-flight screenshot requests","Timeout handling is client-side; ScreenshotOne may still process requests after timeout"],"requires":["ScreenshotOne API supporting async/job-based rendering (check API documentation)","MCP server with state management for tracking in-flight requests","Configurable polling interval and timeout parameters"],"input_types":["URL string","rendering parameters (viewport, device type, etc.)","optional: polling_interval_ms, timeout_ms"],"output_types":["job_id: string (for status tracking)","status: enum (pending|processing|completed|failed)","image/png (when status=completed)","error details (when status=failed)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-screenshotone__cap_3","uri":"capability://automation.workflow.screenshot.result.caching.and.deduplication","name":"screenshot result caching and deduplication","description":"Implements client-side caching of screenshot results based on URL and rendering parameters, reducing redundant API calls when the same website is rendered multiple times with identical settings. Cache keys are generated from URL + parameter hash, and cached results are returned immediately without invoking ScreenshotOne. Cache expiration is configurable (TTL-based or manual invalidation) to balance freshness and cost savings.","intents":["I want to avoid re-rendering the same website multiple times in a single agent run","I need to reduce ScreenshotOne API costs by caching frequently-rendered pages","I want to speed up agent execution by serving cached screenshots for unchanged URLs"],"best_for":["Cost-conscious teams with high screenshot volume and repetitive rendering patterns","Agent workflows that render the same pages multiple times across different tasks","Development/testing scenarios where screenshot freshness is less critical than performance"],"limitations":["Cache is in-memory only; lost on MCP server restart (no persistent storage)","No automatic cache invalidation when website content changes; TTL-based expiration only","Cache key collision risk if URLs differ only in query parameters or fragments","Cache size is unbounded; no eviction policy (LRU, size limits) implemented","Cached results may be stale if website content updates frequently"],"requires":["MCP server with in-memory cache implementation","Configurable cache TTL (default: 1 hour, adjustable)","Optional: cache statistics/monitoring endpoint"],"input_types":["URL string","rendering parameters (viewport, device type, etc.)","optional: cache_ttl_seconds, bypass_cache: boolean"],"output_types":["image/png (from cache or fresh render)","metadata object (cache_hit: boolean, age_seconds: integer)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-screenshotone__cap_4","uri":"capability://automation.workflow.error.handling.and.retry.logic.with.exponential.backoff","name":"error handling and retry logic with exponential backoff","description":"Implements automatic retry logic for failed screenshot requests using exponential backoff strategy, with configurable retry counts and backoff multipliers. Distinguishes between retryable errors (rate limits, temporary service unavailability) and permanent failures (invalid URL, authentication errors), applying appropriate handling for each. Errors are surfaced to the agent with detailed context (error code, message, retry attempt count) for informed decision-making.","intents":["I want my agent to automatically retry failed screenshot requests without manual intervention","I need to handle rate limiting gracefully without crashing the agent","I want detailed error information to debug screenshot failures"],"best_for":["Production agent deployments requiring resilience to transient API failures","High-volume screenshot workflows where rate limiting is a concern","Teams needing detailed error diagnostics for troubleshooting"],"limitations":["Retry logic adds latency; exponential backoff can delay results by 10-30+ seconds for max retries","Retryable vs permanent error classification is heuristic-based; some errors may be misclassified","No circuit breaker pattern; repeated failures don't trigger fallback behavior","Retry state is not persisted; agent restart loses retry history","Rate limit detection relies on HTTP status codes; custom rate limit headers may not be recognized"],"requires":["ScreenshotOne API with standard HTTP error codes (429 for rate limit, 5xx for server errors)","Configurable retry parameters (max_retries: integer, backoff_multiplier: float)","MCP server with timer/delay capability for backoff implementation"],"input_types":["screenshot request (URL + parameters)","optional: max_retries (default: 3), backoff_multiplier (default: 2.0), initial_backoff_ms (default: 100)"],"output_types":["image/png (on success)","error object with: error_code, message, retry_count, is_retryable: boolean"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-screenshotone__cap_5","uri":"capability://image.visual.screenshot.format.conversion.and.optimization","name":"screenshot format conversion and optimization","description":"Supports multiple output image formats (PNG, JPEG, WebP) with configurable compression and quality settings, allowing agents to request screenshots in format/quality combinations optimized for their use case. The MCP server translates format requests into ScreenshotOne API parameters, and optionally applies post-processing (compression, resizing) to optimize file size and transmission latency. Format selection is declarative through tool parameters.","intents":["I want to get screenshots in JPEG format for faster transmission and lower bandwidth usage","I need to control image quality/compression to balance file size and visual fidelity","I want to convert screenshots to WebP for modern web delivery"],"best_for":["Bandwidth-constrained environments (mobile agents, edge deployments)","High-volume screenshot workflows where file size impacts throughput","Applications requiring specific image formats for downstream processing"],"limitations":["Format support depends on ScreenshotOne's API capabilities; not all formats may be available","Quality/compression settings are lossy; PNG is lossless but larger","Post-processing (resizing, compression) adds latency (~50-200ms per image)","No format auto-selection based on content; agents must specify format explicitly","WebP support may require additional ScreenshotOne subscription tier"],"requires":["ScreenshotOne API supporting multiple output formats","Optional: image processing library (ImageMagick, libvips) for post-processing","Configurable format and quality parameters"],"input_types":["URL string","rendering parameters","output_format: enum (png|jpeg|webp)","quality: integer (1-100, JPEG/WebP only)","optional: max_width, max_height (for resizing)"],"output_types":["image/png, image/jpeg, or image/webp (depending on format)","metadata object (actual_format, file_size_bytes, dimensions)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-screenshotone__cap_6","uri":"capability://automation.workflow.batch.screenshot.processing.with.result.aggregation","name":"batch screenshot processing with result aggregation","description":"Enables agents to submit multiple screenshot requests in a single MCP tool call, with results aggregated and returned as a structured collection. The MCP server parallelizes requests to ScreenshotOne (respecting rate limits) and collects results, returning a batch response with per-URL status, images, and metadata. This reduces MCP round-trips and enables efficient multi-page rendering workflows.","intents":["I want to capture screenshots of multiple URLs in a single operation","I need to render a list of pages and get all results together without multiple tool calls","I want to parallelize screenshot rendering to reduce total execution time"],"best_for":["Agents performing bulk website analysis or documentation generation","Workflows requiring screenshots of multiple pages (site crawling, competitor analysis)","Systems optimizing for minimal MCP round-trips and maximum throughput"],"limitations":["Batch size is limited by ScreenshotOne's rate limits and concurrent request capacity","Parallelization adds complexity; partial failures require per-URL error handling","No atomic guarantees; some URLs may succeed while others fail","Result aggregation adds latency; slowest request determines batch completion time","Memory overhead for storing multiple images in memory before returning"],"requires":["ScreenshotOne API with sufficient rate limit capacity for parallel requests","MCP server with async/concurrent request handling","Configurable batch size and parallelism parameters"],"input_types":["urls: array of strings","rendering_parameters: object (applied to all URLs)","optional: batch_size, max_parallel_requests, timeout_per_url_ms"],"output_types":["results: array of objects, each containing: url, status, image/png, metadata, error (if failed)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":25,"verified":false,"data_access_risk":"moderate","permissions":["ScreenshotOne API key (obtain from https://screenshotone.com/)","MCP client implementation (Claude Desktop, custom MCP host, or compatible LLM framework)","Network connectivity to ScreenshotOne cloud endpoints","Node.js 16+ or Python 3.8+ (depending on MCP server runtime)","ScreenshotOne API key with device emulation feature enabled","MCP client supporting tool parameter schemas","Knowledge of target viewport dimensions and device types","ScreenshotOne API supporting async/job-based rendering (check API documentation)","MCP server with state management for tracking in-flight requests","Configurable polling interval and timeout parameters"],"failure_modes":["Requires valid ScreenshotOne API credentials and active subscription; free tier may have rate limits or feature restrictions","Screenshot rendering latency depends on ScreenshotOne's cloud infrastructure and website complexity; no local rendering option","MCP transport overhead adds ~100-300ms per request compared to direct REST API calls","No built-in caching or batch screenshot operations; each request is independent","Limited to ScreenshotOne's supported rendering options; cannot customize browser engine or rendering pipeline","Device emulation is limited to ScreenshotOne's predefined device profiles; custom user agents require manual header injection","Wait conditions (e.g., 'wait for element') are limited to timeout-based waits; no CSS selector-based wait triggers","Viewport parameters map directly to ScreenshotOne's API; unsupported dimensions may be rounded or clamped","No support for JavaScript execution or DOM manipulation before screenshot capture","Polling adds latency compared to synchronous rendering; typical polling interval is 500ms-2s","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.24,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"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":"2026-06-17T09:51:04.049Z","last_scraped_at":"2026-05-03T14:00:15.503Z","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=screenshotone","compare_url":"https://unfragile.ai/compare?artifact=screenshotone"}},"signature":"qLwKsZlZCE3xdcouOwaYMJhVo5kNOITTr3ByFkpiQJrMWqYeBdXnxKNH265po1zpD+MPWrRwgogG6hPUGSVRAQ==","signedAt":"2026-06-22T23:59:51.459Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/screenshotone","artifact":"https://unfragile.ai/screenshotone","verify":"https://unfragile.ai/api/v1/verify?slug=screenshotone","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"}}