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Implements MCP server specification for standardized tool exposure to Claude and other MCP-compatible clients, abstracting Scrapeless API authentication and response normalization into discrete MCP tools.","intents":["I want my AI agent to search Google in real-time and get current results without implementing web scraping","I need to integrate live search data into my LLM application without managing proxy rotation or anti-bot detection","I want to expose Google search capabilities to Claude via MCP without writing custom integration code"],"best_for":["LLM application developers building research agents or chatbots","Teams integrating real-time search into RAG pipelines","Builders prototyping AI workflows that require current web data"],"limitations":["Depends on Scrapeless API availability and rate limits — no local fallback for API outages","MCP protocol overhead adds ~100-300ms per request compared to direct API calls","No built-in caching layer — repeated identical queries hit the API each time","Requires valid Scrapeless API credentials; free tier may have strict rate limits"],"requires":["Scrapeless API key (from https://www.scrapeless.com/en)","MCP-compatible client (Claude, or custom MCP client implementation)","Node.js 16+ or Python 3.8+ (depending on server implementation)","Network access to Scrapeless API endpoints"],"input_types":["text (search query string)","structured parameters (language, location, pagination)"],"output_types":["structured JSON (SERP results with title, URL, snippet, position)","metadata (search volume estimates, related searches, featured snippets)"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-scrapeless__cap_1","uri":"capability://search.retrieval.google.flights.real.time.availability.and.pricing.lookup","name":"google flights real-time availability and pricing lookup","description":"Queries live Google Flights data through Scrapeless to retrieve current flight options, pricing, and availability for specified routes and dates. Implements structured extraction of flight segments, airline information, and fare details from Google Flights SERP, normalizing results into consistent JSON schema for downstream LLM processing and decision-making.","intents":["I want my travel chatbot to check real-time flight prices and availability without calling multiple airline APIs","I need to compare flight options across airlines and dates in an AI agent without building flight search infrastructure","I want to embed live flight data into my LLM application for travel planning assistance"],"best_for":["Travel chatbot and booking assistant developers","AI agents handling multi-leg trip planning","Builders creating travel comparison tools powered by LLMs"],"limitations":["Google Flights data freshness depends on Scrapeless crawl frequency — not guaranteed real-time for every query","No direct booking integration — results are informational only, users must complete bookings on airline/OTA sites","Complex flight itineraries (multi-city, connecting flights) may require multiple API calls","Pricing data may lag behind actual availability by minutes to hours"],"requires":["Scrapeless API key with Google Flights scraping enabled","MCP client integration (Claude or custom)","Valid departure/arrival airport codes and travel dates"],"input_types":["text (origin airport code, destination airport code, departure date)","optional parameters (return date, passenger count, cabin class)"],"output_types":["structured JSON (flight segments with airline, departure/arrival times, duration, price)","metadata (available airlines, price range, number of stops)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-scrapeless__cap_2","uri":"capability://search.retrieval.google.maps.location.search.and.business.information.extraction","name":"google maps location search and business information extraction","description":"Retrieves location data, business details, and map results from Google Maps through Scrapeless, extracting structured information including addresses, phone numbers, ratings, hours, and reviews. Parses Google Maps SERP to normalize location metadata into consistent JSON format suitable for LLM context injection and location-aware decision-making.","intents":["I want my AI agent to find nearby businesses or locations without building a maps integration","I need to extract business contact info and ratings from Google Maps for research or lead generation","I want to add location intelligence to my LLM application for local recommendations or navigation"],"best_for":["Local search and recommendation chatbots","Lead generation and business research agents","Location-aware AI assistants and concierge services"],"limitations":["Google Maps data is read-only — no ability to post reviews, check-ins, or modify business information","Geolocation accuracy depends on query specificity; ambiguous location names may return incorrect results","Review data is limited to snippet text from SERP; full review text requires additional parsing","Business hours and contact info may be outdated if not recently updated by business owners"],"requires":["Scrapeless API key with Google Maps scraping enabled","MCP client integration","Location query (business name, address, or category + location)"],"input_types":["text (business name, address, or category search)","optional parameters (location bias, radius, result count)"],"output_types":["structured JSON (business name, address, phone, website, rating, hours, review snippets)","metadata (business type/category, number of reviews, opening status)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-scrapeless__cap_3","uri":"capability://search.retrieval.google.jobs.listing.aggregation.and.job.search","name":"google jobs listing aggregation and job search","description":"Queries Google Jobs to retrieve current job postings, company information, and employment details through Scrapeless. 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Implements MCP server specification with proper error handling, input validation, and response serialization, enabling seamless integration without manual tool definition.","intents":["I want to expose Scrapeless search capabilities to Claude without writing custom tool definitions","I need my MCP client to automatically discover available search tools and their parameters","I want proper error handling and validation for search queries before sending to Scrapeless API"],"best_for":["Claude users building AI agents with search capabilities","MCP server developers integrating third-party APIs","Teams standardizing on MCP for tool orchestration"],"limitations":["Tool schemas are static — changes to Scrapeless API require server code updates","No built-in rate limiting or quota management — relies on Scrapeless API limits","MCP protocol adds latency compared to direct API calls (~100-300ms per request)","Limited to MCP-compatible clients; not compatible with OpenAI function calling or other tool protocols"],"requires":["MCP client implementation (Claude, or custom MCP client)","MCP server running (Node.js or Python implementation)","Scrapeless API key configured in server environment"],"input_types":["MCP tool call requests with parameters"],"output_types":["MCP tool result responses with structured data"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-scrapeless__cap_5","uri":"capability://memory.knowledge.dynamic.context.injection.for.rag.powered.llm.applications","name":"dynamic context injection for rag-powered llm applications","description":"Integrates real-time search results from Scrapeless into RAG (Retrieval-Augmented Generation) pipelines by fetching fresh SERP data on-demand and injecting it into LLM context windows. Enables LLM applications to augment static knowledge bases with current web data, improving answer accuracy and relevance for time-sensitive queries without requiring full document indexing.","intents":["I want my RAG chatbot to fetch real-time search results when user queries require current information","I need to augment my knowledge base with live web data for questions about news, prices, or availability","I want my LLM to decide when to search the web vs. use local knowledge base for better answer quality"],"best_for":["RAG chatbot developers building knowledge-augmented assistants","Teams building research tools that require current web data","Builders creating hybrid search systems combining local and web data"],"limitations":["No built-in query routing — requires external logic to decide when to fetch web data vs. use local knowledge base","Context window limits may prevent injecting large result sets; requires result summarization or ranking","Latency for web fetching (500ms-2s per query) may impact real-time chat responsiveness","No automatic knowledge base updates — web data is injected per-query, not persisted"],"requires":["Scrapeless API key","MCP client integration or direct API calls","LLM with sufficient context window for injected search results","Query routing logic to determine when web search is needed"],"input_types":["user query (text)","optional context (previous conversation, knowledge base search results)"],"output_types":["augmented LLM context with injected search results","LLM response incorporating real-time data"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-scrapeless__cap_6","uri":"capability://data.processing.analysis.multi.parameter.serp.query.construction.and.normalization","name":"multi-parameter serp query construction and normalization","description":"Constructs properly formatted Google Search queries with support for advanced parameters (language, location, date range, result type filters) and normalizes Scrapeless API responses into consistent JSON schema. Handles parameter validation, query encoding, and response parsing to abstract API-specific details from LLM applications.","intents":["I want to search Google with location or language filters without manually constructing query strings","I need to normalize search results from Scrapeless into a consistent format for my LLM application","I want to filter search results by type (news, images, videos) or date range without API-specific knowledge"],"best_for":["LLM application developers building search-powered agents","Teams building multi-region or multi-language search applications","Builders creating specialized search tools (news search, image search, etc.)"],"limitations":["Parameter support limited to Scrapeless API capabilities — not all Google Search advanced operators supported","Response normalization may lose API-specific metadata or fields","No built-in result ranking or relevance scoring — returns results in Google's order","Query validation is basic; complex boolean queries may fail silently"],"requires":["Scrapeless API key","MCP client or direct API integration","Knowledge of supported parameters (language codes, location names, date formats)"],"input_types":["text (search query)","optional parameters (language, location, date range, result type)"],"output_types":["structured JSON (normalized SERP results with title, URL, snippet, position)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":30,"verified":false,"data_access_risk":"high","permissions":["Scrapeless API key (from https://www.scrapeless.com/en)","MCP-compatible client (Claude, or custom MCP client implementation)","Node.js 16+ or Python 3.8+ (depending on server implementation)","Network access to Scrapeless API endpoints","Scrapeless API key with Google Flights scraping enabled","MCP client integration (Claude or custom)","Valid departure/arrival airport codes and travel dates","Scrapeless API key with Google Maps scraping enabled","MCP client integration","Location query (business name, address, or category + location)"],"failure_modes":["Depends on Scrapeless API availability and rate limits — no local fallback for API outages","MCP protocol overhead adds ~100-300ms per request compared to direct API calls","No built-in caching layer — repeated identical queries hit the API each time","Requires valid Scrapeless API credentials; free tier may have strict rate limits","Google Flights data freshness depends on Scrapeless crawl frequency — not guaranteed real-time for every query","No direct booking integration — results are informational only, users must complete bookings on airline/OTA sites","Complex flight itineraries (multi-city, connecting flights) may require multiple API calls","Pricing data may lag behind actual availability by minutes to hours","Google Maps data is read-only — no ability to post reviews, check-ins, or modify business information","Geolocation accuracy depends on query specificity; ambiguous location names may return incorrect results","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.39,"ecosystem":0.49999999999999994,"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=scrapeless","compare_url":"https://unfragile.ai/compare?artifact=scrapeless"}},"signature":"jdWPu6eC0+AoQfGH9BDTUO35Y7Dy0rB7OjwJ8YMccaQ0DmlNNO6UoGwJXMlj9d37GGYpsiIOKViwtnj6yYI1DA==","signedAt":"2026-06-22T01:09:06.639Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/scrapeless","artifact":"https://unfragile.ai/scrapeless","verify":"https://unfragile.ai/api/v1/verify?slug=scrapeless","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"}}