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483,987 tools. Updated 2026-08-28 01:59

"How to scrape websites and retrieve information" matching MCP tools:

  • Retrieve The Hill Kinabalu’s official public wedding venue and 2026/2027 package information, including capacity, event sizes, starting package prices, key inclusions, add-ons without prices, payment structures, and enquiry links. Use this when someone asks about weddings, wedding packages, the event venue, guest capacity, package pricing, or how to enquire. This tool does not check date availability or submit an enquiry.
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  • Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.
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  • Retrieve a Lemma schema by its ID via GET /v1/schemas/{id}. A schema declares how documents of a given type are interpreted and normalized. Returns SchemaMeta { id, description? } with additionalProperties open — implementations commonly include a `normalize` artifact (WASM that maps raw documents to canonical form) and its content hash. Use this when you need to interpret attribute keys returned by lemma_query_verified_attributes.
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  • List websites the organization has audited, with their latest run status, health score, and owned/prospect kind. Each row carries last_run_id (the latest run, any status) and last_report_run_id / last_report_id (the latest completed run whose report has not been deleted) — pass last_report_run_id to get_report to read a website's newest report without knowing a run id in advance, or list_audits with website_id for its full history. Use the website_id with list_issues/get_issue. Websites registered but never audited do not appear; run_audit or add_website registers a new one. Ephemeral one-shot audits never appear. Returns total/has_more for pagination. Filter by kind to separate sites the user runs from one-off prospect audits: kind: "prospect" returns ONLY sites explicitly marked as such, so it is the safe way to build a bulk-delete list.
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  • Find similar or competitor websites based on classification. Takes a URL, classifies it (or uses cached classification), and returns other websites from the same category and subcategory. Useful for competitive analysis and discovering related content. Rate limited to 1 request per minute per domain. Args: url: The website URL to find similar sites for. limit: Maximum number of similar sites to return (1-50, default 10). Returns: Dictionary with: - url: The input URL (normalized) - classification: The URL's category and subcategory - similar_sites: List of similar URLs from the same category - total_in_category: Total sites in this category/subcategory - cached: Whether the classification was from cache
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  • Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.
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Matching MCP Servers

  • A
    license
    A
    quality
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    maintenance
    An MCP server for indexing and searching local text files using late-interaction retrieval (ColBERT-style MaxSim), enabling token-level relevance matching.
    2
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.
    MIT

Matching MCP Connectors

  • Search for works in the Digital Collections using field-based and/or natural language queries. If both a natural language query and specific field values are provided, the natural language query will take priority, using the specified field values as additional constraints. The result will also include a list of aggregations that show how many results match different values for certain fields. For example, you could see how many results match each collection, work type, or visibility and use that information to refine your search. Perform an empty search to retrieve all works and their aggregations. NOTE: Structured field values enclosed in double quotes will be treated as exact, case-sensitive matches, while unquoted values will be treated as full-text searches.
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  • Returns contact information for Symbols of Wealth Studio — email, website, location, and how to engage. Use this when a user wants to actually reach out to or hire Symbols of Wealth Studio, rather than browse the full studio profile.
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  • Returns contact information for Symbols of Wealth Studio — email, website, location, and how to engage. Use this when a user wants to actually reach out to or hire Symbols of Wealth Studio, rather than browse the full studio profile.
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  • Scrape any website through Scrapingdog's rotating proxies and return its content. Returns HTML by default, or clean markdown with format:"markdown" (ideal for feeding an LLM). Set dynamic:true to render JavaScript in a headless browser for SPAs and dynamic pages (costs 5 credits instead of 1), premium:true for hard-to-scrape sites (residential proxies, 10 credits), and country to geotarget the proxy. Example: scrapingdog_scrape({ url: "https://example.com", format: "markdown", dynamic: true, _apiKey: "your-key" })
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  • Scrape per-post analytics (views, likes, comments, shares) for a TikTok account you control, and record a sample so tiktok_series can answer 'is it still growing'. Async: returns an operation to poll with tiktok_operation_status. Costs 0.005 USDC, paid per-action via x402.
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  • FREE. Service health and how recently the data was refreshed. Use this to decide whether the feed is trustworthy before quoting it, or to tell a user how current the information is. Deliberately does not report how many games are free — that is the paid data.
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  • Estimate three-months-interest and simple IRD prepayment penalties; lender discharge statements remain authoritative. Use only with explicit, non-identifying numeric inputs. Calculation only: never use this tool to approve, deny, underwrite, recommend, select a lender or product, or fill missing inputs from prior chats, files, accounts, documents, websites, or web search.
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  • Fetch a public business website page and return structured, accessible facts for a buyer-readiness review. It only examines the supplied public URL and does not scrape review platforms or private systems.
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  • Fetch (scrape) a URL using ScrapingAnt and return the web page content as plain text. Args: url: The URL of the page to extract (scrape). browser: Whether to use browser rendering. Default: True. proxy_type: Type of proxy to use. Default: 'datacenter'. Use 'residential' if you encounter anti-bot detection, which improves anti-bot avoidance. proxy_country: Optional ISO-3166 country code. Default: random worldwide proxy. Use when facing geo-restrictions. Available country codes: ae, au, br, ca, cn, cz, de, es, fr, gb, hk, id, il, in, it, jp, kr, my, nl, ph, pl, ru, sa, sg, th, us, vn.
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  • Get general information about the lie detector test service: what is offered, how booking works, the deposit and refund policy, the service area, and what happens after booking. Takes no arguments.
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  • Scrape a single URL using Firecrawl's JS-rendering engine and return clean markdown (up to 100,000 chars), page title, and description. Strips navigation/boilerplate by default (only_main_content=true). Supports output formats: markdown, html, rawHtml, links.
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  • Retrieve plan features and current usage limits for your API key. Use when: - You want to know how many records/jobs/monitors your plan allows. - You want to check current usage against plan limits before running a large job.
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  • List the monitored assets (websites/domains) in YOUR Merlonix account. Returns each asset id, hostname, type, and monitoring status. Requires an API key (Authorization: Bearer mk_… from app.merlonix.com → Settings → API keys).
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  • START HERE when adding more websites to an existing campaign. Returns the campaign's own context (domain, goal), how much room it has left, its send queue, and — critically — exclude_domains: every prospect domain this account has already used in ANY campaign. You MUST filter your discovery results against exclude_domains. get_competitor_gap is cached and unpaginated, so calling it again returns the identical top-N: request a limit several times larger than recommended_batch_size, drop everything already in exclude_domains, and keep what is left. Widen the pool with get_similar_domains, get_link_intersect, or get_platform_domains when the competitor gap is exhausted. Then research one real contact per surviving domain, call outreach_add_contacts, and finish with outreach_launch_campaign to queue them. Note exclude_domains_truncated: when true the list is capped and you should prefer clearly-unseen domains.
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