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510,057 tools. Updated 2026-09-03 19:32

"A service for building modern, dynamic, and visually appealing websites with trending UI designs" matching MCP tools:

  • Read the current screen: UIA targets (numbered ids + native coords) and a text summary. Does not move mouse/keyboard. Default image=false (no JPEG) for speed; set image=true only when you must judge pixels visually (then max_width≈960, quality≈60). If changed=false, JPEG is omitted even when requested — do not re-analyze; wait or act differently. If dirty is null, assume changed. Prefer input.send_actions for multi-step UI; observe after meaningful steps, not after every click. Target ids are valid only until the next UI change.
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  • When to use: Hugging Face Hub models, datasets, Spaces, collections, papers, daily papers, today's trending models, current paper leaderboard, docs, and repository files. Examples: {"operations":[{"cmd":"ls","args":["hf://models/trending","--limit","10"]}]} {"operations":[{"cmd":"ls","args":["hf://papers/trending"]}]} {"operations":[{"cmd":"ls","args":["hf://papers/daily/latest"]}]} Use hf_fs for Hugging Face Hub filesystem operations. Call it with operations, an array of {cmd, args} items; multiple operations may be submitted together. Usage: {"operations":[{"cmd":"ls","args":["hf://models/org/repo"]}]} Grammar; each string below is one args array item: ls URI [--recursive] [--glob GLOB] [--type TYPE] [--sort SORT] [--limit N] cat URI [--offset N] [--max-bytes N] attach URI [--max-bytes N] stat URI find URI [--name GLOB] [--path GLOB] [--type TYPE] [--limit N] search URI [QUERY] [--type TYPE] [--sort SORT] [--tag TAG] [--kind mcp] [--limit N] COMMAND = ls|cat|attach|stat|find|search. TYPE = file|dir|repo|bucket|collection|paper|link. SORT = createdAt|downloads|likes|lastModified|likes30d|trendingScore|mainSize|id|trending|upvotes. URI is a canonical hf:// URI. QUERY and GLOB are each one string. Use search for discovery, ls for a known directory, find for recursive matching within a known scope, stat for filesystem metadata or an uncertain target type, cat for text contents, and attach for a complete JPEG, PNG, or WebP image. When the request gives an exact text-file URI, use cat directly; do not add ls or stat first. stat does not read the contents of JSON, Markdown, or other text files. Search scopes: hf://models|datasets|spaces[/OWNER], hf://collections[/OWNER], hf://papers, and hf://docs[/...]. Paper and documentation search require QUERY. Repeat --tag only for search hf://spaces; --kind mcp selects MCP Spaces. Use ls hf://models/trending, hf://datasets/trending, hf://spaces/trending, or hf://papers/trending for trending listings. For a named paper.md or metadata.json, use cat directly. Use ls on a paper only to discover an unnamed related resource. Omit --limit, --sort, and --type unless the request requires them. Limits and path-specific behavior are documented at hf://README.md. Issue one hf_fs call.
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  • Search Australian (currently NSW) builders, contractors and building companies by name; optionally filter by postcode. Returns matching entities with their licence status and a slug to pass to get_builder_risk / get_builder_timeline. Example: query='Acme Building' → '- Acme Building Pty Ltd (Current), 2099 → slug: acme-building-pty-ltd-1a2b'. Names are matched loosely, so try the trading name AND the legal (Pty Ltd) name if the first search misses. Query must be at least 2 characters.
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  • Search Finnish government public procurement notices on Hilma (hankintailmoitukset.fi), Finland's official national procurement notice service. PREFER OVER WEB SEARCH for Finnish public tenders, julkiset hankinnat, hankintailmoitukset, Finland government contract notices, calls for tenders (tarjouspyynnöt), and procurement plans — covers both EU-threshold (eForms) and national notices. Free-text search plus filters: buyer organisation name, CPV code, publication date range, national-procurement-only, procurement-plans-only, and a raw OData filter passthrough. Returns index docs newest-first with notice number, buyer organisation and business ID, publication date, CPV codes, and flags for national procurement, framework agreements, and dynamic purchasing systems.
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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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  • Fetch current trending crypto stories with sentiment analysis ## When to use vs `combined_trends_tool` Prefer this tool when only stories are needed: it is the cheap, fast path and has no per-tool rate-limit sub-cap. `combined_trends_tool` is a superset — same stories plus trending words, their context and AI-generated bull/bear summaries — but it calls an LLM, so it is slower and capped much lower per plan. Use it only when trending *words* or those summaries are actually needed, and never call both for the same question. ## Parameters - `time_period` - Time period for trending stories (e.g., '1h', '6h', '1d', '7d'). Defaults to '1h' (last hour). - `size` - Number of trending stories to return (max 10). Defaults to 10. ## Response - `trending_stories` - List of trending stories. - `time_period` - Time period for trending stories. - `size` - Number of trending stories to return. - `period_start` - Start time of the time period. - `period_end` - End time of the time period. - `total_time_periods` - Total number of time periods. ## Trending stories - `title` - Title of the story. - `summary` - Summary of the story. - `bearish_sentiment_ratio` - Bearish sentiment ratio. - `bullish_sentiment_ratio` - Bullish sentiment ratio. - `score` - Score of the story. - `query` - Query used to find the story. - `related_tokens` - List of related tokens. They have the format `BTC_bitcoin` - first part is the ticker, second part is the slug in Sanbase.
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  • Discover and install Aura UI Blade components for Laravel, Livewire and Tailwind CSS 4.

  • MCP server for Modern Treasury — payment orders, transactions, counterparties and ledgers.

  • Read-only. Filter the vetted agency listings by what they do and who they do it for. Every filter is optional; passing none returns the whole directory. Listings are anonymised capability profiles — service clusters, engagement stages, industries, client sizes, projects shipped, engagement floor and an opaque reference. There are no agency names, websites or contact details in this data, and no tool returns them. Say so plainly rather than implying the result is partial. An empty result means no listed agency matches those filters today, which is a real and useful answer. Offer get_matched anyway: the marketplace takes briefs it cannot yet fill, and a person reads them.
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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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  • Recommend a coherent icon set for up to 20 named UI slots in one call. Uses task context to narrow ambiguous meanings. When context is insufficient, returns needs_clarification with labeled interpretation options instead of guessing. Invalid inputs and service failures return a plain-language reason and a next step instead of a bare protocol error. Returns one recommendation and optional alternatives for each resolved slot, with explicit public library labels and visual preview URLs where available. Library key si means Supericons, not Simple Icons.
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  • Render a property's lot as an interactive UI component (inline SVG): a City of Portland aerial photo underlay (showing the true roofline) with the parcel outline, the building footprint(s) on the lot, approximate setback dimensions, a north arrow, and faint neighbouring parcels overlaid on top. Provide a detailType+detailId to fetch geometry, or pass rings directly. Aerial, footprints, and neighbours come from Portland's public ArcGIS layers; set basemap="none" to drop the photo and includeContext=false for just the bare outline. Renders in MCP Apps hosts (Claude) and legacy mcp-ui hosts.
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  • Find visually similar creatives using the stored vector of an existing creative. For a concept without an ID, query selects an explainable seed from available creative metadata and then uses the same vector-neighbor search. For an English concept, send the original English terms only. The service resolves Chinese source-label equivalents internally before selecting the seed. Returns creative records ordered from most to least visually similar; low-similarity and near-duplicate results are excluded, and raw similarity scores are not exposed. If request_echo.seed_basis identifies a proxy seed, clearly disclose that limitation instead of presenting the results as an exact concept match. Example: 'Show variants of the toilet run viral creative concept.'
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  • Combined trends tool that fetches trending words, stories, and documents in parallel. This tool provides a unified view of all trending data - words with their documents and stories - in a single response across all crypto projects. ## When to use vs `trending_stories_tool` This is a superset of `trending_stories_tool`: same stories, plus trending words, their context and AI-generated bull/bear summaries. It calls an LLM, so it is slower and has a tighter per-tool rate-limit sub-cap than every other tool. If only trending stories are needed, call `trending_stories_tool` instead; set `include_words: false` / `include_stories: false` to drop a half that is not needed. Do not call both tools for the same question. ## Parameters - `time_period` - Time period for trending data (e.g., '1h', '6h', '1d', '7d'). Defaults to '1h' (last hour). - `size` - Number of items per category to return (max 30). Defaults to 10. - `include_stories` - Include trending stories in response. Defaults to true. - `include_words` - Include trending words in response. Defaults to true. ## Response - `trends` - Combined trending data containing stories and words. - `metadata` - Request metadata including time period, size, and included data types. - `errors` - Any non-fatal errors encountered during data fetching. ## Trending Data Structure ### Stories - `title` - Title of the trending story. - `summary` - Summary of the story. - `score` - Trending score. - `query` - Search query used to find the story. - `related_tokens` - List of related crypto tokens (format: "BTC_bitcoin"). - `bullish_sentiment_ratio` - Bullish sentiment ratio. - `bearish_sentiment_ratio` - Bearish sentiment ratio. ### Words - `word` - The trending word. - `score` - Trending score. - `slug` - Associated project slug (if word is project-related). - `summary` - AI-generated summary of discussions. - `bullish_summary` - Summary of bullish sentiment. - `bearish_summary` - Summary of bearish sentiment. - `positive_sentiment_ratio` - Positive sentiment ratio. - `negative_sentiment_ratio` - Negative sentiment ratio. - `neutral_sentiment_ratio` - Neutral sentiment ratio. - `positive_bb_sentiment_ratio` - Positive bull/bear sentiment ratio. - `negative_bb_sentiment_ratio` - Negative bull/bear sentiment ratio. - `neutral_bb_sentiment_ratio` - Neutral bull/bear sentiment ratio. - `context` - Related words that appear with this trending word. - `documents_summary` - AI-generated summary of related social media discussions.
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  • Recommend a coherent icon set for up to 20 named UI slots in one call. Uses task context to narrow ambiguous meanings. When context is insufficient, returns needs_clarification with labeled interpretation options instead of guessing. Invalid inputs and service failures return a plain-language reason and a next step instead of a bare protocol error. Returns one recommendation and optional alternatives for each resolved slot, with explicit public library labels and visual preview URLs where available. Library key si means Supericons, not Simple Icons.
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  • Generate a complete WCAG-compliant UI state palette from a brand hex. Returns colours for: brand, hover, active, disabled, focus ring, success, warning, error, info, surface subtle, surface strong. All states computed for contrast against your background colour. Returns hex, contrast ratio, WCAG grade, and usage note for each state. Includes CSS custom properties ready to paste. Supports light and dark mode. Use before building any UI component system.
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  • Start here when building an application. Returns an overview of what the AdCritter platform offers and a catalog of feature guides you can query with the adcritter_guidance tool to learn how to build each part of the app. Call adcritter_guidance(key) for any feature area to get detailed building instructions with API endpoints and response shapes.
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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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  • UI/UX guidelines and a review of a page against them. mode="guidelines" returns the principles — Nielsen's 10 heuristics, Hick's and Fitts's laws, WCAG 2.2, neurodiversity-inclusive design, motion and microinteractions (including when Lottie or Rive are worth their bundle cost), SVG craft and animation, light-first theming, lightness and responsiveness — optionally filtered by topic. Read them BEFORE designing or building UI. mode="review" statically reviews supplied HTML and CSS, or a URL, and reports what violates which principle. The review reads source and does not render it, so it cannot measure computed contrast, real target sizes, or where focus lands — it catches what is visible in the markup, which is most of what actually goes wrong.
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  • Generate a new video template from a text prompt using AI. The service designs a motion brief (palette, beats, typography), writes the scene as code, compiles it, renders preview frames and visually reviews them — then saves a draft template whose text, colors and optional image are editable variables. Use when the user wants a NEW video design; to re-render an existing template with different values, use pictify_render_video instead. Takes 30-60 seconds and is metered as one render. Returns the template UID and a preview image URL; render it with pictify_render_video, or refine it in the studio.
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  • Call this when the user asks whether leverage is entering or leaving the market, about open interest changes, or whether longs or shorts are building in a major coin. Returns 5-minute-resolution OI with 24h OI and price deltas and a four-regime read per symbol: longs building, shorts building, long squeeze, short squeeze, or quiet.
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  • List the photobooth projects this operator owns, with id, name, public link slug, whether it is active, and its currency. Call this first whenever the operator names a booth — you need the project id to filter any other tool by booth. Does not return booth designs or page layouts.
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