{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_marco-scrapegraph","slug":"marco-scrapegraph","name":"ScrapeGraphAI","type":"mcp","url":"https://smithery.ai/servers/marco/scrapegraph","page_url":"https://unfragile.ai/marco-scrapegraph","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","web-browsing","smithery:marco/scrapegraph"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_marco-scrapegraph__cap_0","uri":"capability://data.processing.analysis.web.data.extraction.with.model.context.protocol","name":"web data extraction with model-context protocol","description":"ScrapeGraphAI utilizes the Model-Context Protocol (MCP) to facilitate structured web data extraction. It integrates with various web sources, employing a modular architecture that allows for dynamic context switching based on the target site. This enables the server to adapt its scraping strategies in real-time, optimizing for different HTML structures and data formats, which is a distinct advantage over static scraping tools.","intents":["How can I extract structured data from a specific website?","I need to scrape multiple pages dynamically based on content changes.","Can I integrate web scraping into my existing data pipeline?"],"best_for":["data engineers building scalable web scraping solutions"],"limitations":["Requires a stable internet connection; scraping may be blocked by some sites due to anti-bot measures."],"requires":["Node.js 14+","MCP-compatible client library"],"input_types":["URLs","HTML selectors"],"output_types":["structured data","JSON","CSV"],"categories":["data-processing-analysis","web-scraping"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_marco-scrapegraph__cap_1","uri":"capability://data.processing.analysis.context.aware.scraping.configuration","name":"context-aware scraping configuration","description":"ScrapeGraphAI supports context-aware configuration for scraping tasks, allowing users to define scraping parameters based on the context of the data being extracted. This is achieved through a user-friendly interface that lets developers specify rules and conditions that change based on the content type or structure, enhancing the scraping process's efficiency and accuracy.","intents":["How do I set up scraping rules based on different content types?","Can I customize the scraping behavior for different websites?","I want to optimize my scraping tasks for specific data formats."],"best_for":["developers looking to optimize web scraping for specific use cases"],"limitations":["Complex configurations may require a learning curve for new users."],"requires":["Node.js 14+","MCP-compatible client library"],"input_types":["configuration files","user-defined rules"],"output_types":["structured data","logs"],"categories":["data-processing-analysis","web-scraping"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_marco-scrapegraph__cap_2","uri":"capability://data.processing.analysis.multi.source.data.aggregation","name":"multi-source data aggregation","description":"ScrapeGraphAI enables aggregation of data from multiple web sources into a unified output format. It employs a pipeline architecture that allows for concurrent scraping from various sites, merging the results based on user-defined schemas. This capability is particularly useful for projects requiring comprehensive data sets from disparate sources.","intents":["How can I aggregate data from several websites into one dataset?","I need to scrape and combine data from multiple sources efficiently.","Can I automate the collection of data from various online platforms?"],"best_for":["data scientists needing comprehensive datasets for analysis"],"limitations":["May encounter rate limits from target websites when scraping concurrently."],"requires":["Node.js 14+","MCP-compatible client library"],"input_types":["URLs","scraping configurations"],"output_types":["structured data","JSON","CSV"],"categories":["data-processing-analysis","web-scraping"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":23,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 14+","MCP-compatible client library"],"failure_modes":["Requires a stable internet connection; scraping may be blocked by some sites due to anti-bot measures.","Complex configurations may require a learning curve for new users.","May encounter rate limits from target websites when scraping concurrently.","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.16,"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":"2026-05-24T12:16:27.441Z","last_scraped_at":"2026-05-03T15:19:22.209Z","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=marco-scrapegraph","compare_url":"https://unfragile.ai/compare?artifact=marco-scrapegraph"}},"signature":"sSsyhserFtUISnFNJ8EpuU5yBKOCICD2q67tYwAMw9VZq85f5Kc4sSRFLK0gQjhtt+eTCxkyVzkDMYwvvrmqCg==","signedAt":"2026-06-22T01:17:41.908Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/marco-scrapegraph","artifact":"https://unfragile.ai/marco-scrapegraph","verify":"https://unfragile.ai/api/v1/verify?slug=marco-scrapegraph","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"}}