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396,339 tools. Last updated 2026-08-05 10:24

"A tool for scraping websites with images" matching MCP tools:

  • Display the user's images inline — one or many. Users speak plainly and will NOT know asset ids; never ask for one, resolve it yourself. For "show me" or "show me my last image" call with NO arguments (shows the most recent image). For "show me my last 4 images / my last 10 pictures" pass count=N (returns a clean grid, up to 12). For a specific known image pass assetId. Renders a branded SwitchApp media card with a Download action per result; do not just print URLs. (Videos are not shown here — use list_my_videos and return the newest finished video's view_url, which plays.)
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  • Upload a base64-encoded file to a site's container. Use this for binary files (images, archives, fonts, etc.). For text files, prefer write_file(). Requires: API key with write scope. Args: slug: Site identifier path: Relative path including filename (e.g. "images/logo.png") content_b64: Base64-encoded file content Returns: {"success": true, "path": "images/logo.png", "size": 45678} Errors: VALIDATION_ERROR: Invalid base64 encoding FORBIDDEN: Protected system path
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  • List the images the user ALREADY has in their Orivox media gallery -- uploads made on the editor's media page or through Orivox before -- as hosted URLs ready to use DIRECTLY in <img src> or apply_dom_ops set_attr. Check here FIRST whenever the user mentions "my images", their gallery, or pictures they already uploaded, before asking them to upload or send anything. role="logo" lists the logo folder, "content" the general image folder, "all" (default) both, newest first. Each entry carries url, file_name, width/height (null when unknown), and modified_at. Returns the newest `limit` images (default 24, max 500); truncated=true with a larger total means older images exist -- re-call with a bigger limit only when the user actually needs them. Use the urls exactly as returned -- never rewrite them through the a12 grammar. Read-only; changes nothing.
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  • Return the EXACT images the user chose on their upload link. Pass the token_id that request_image_upload_link returned. Call this after the user says they uploaded or picked their images: it returns files[], each with a hosted url and a source ("upload", "gallery", or "shared"), so you place PRECISELY the images they selected instead of guessing from the whole gallery. An empty files list means they have not chosen anything yet -- ask them to open the link and add images, or wait and check again. Read-only; changes nothing.
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  • Retrieve detailed product information for dm-drogeriemarkt products. USE WHEN: ingredients, nutrition facts, allergens, usage instructions, warnings, hazard info, product URLs/images INPUT: DANs (7 digits, preferred) and/or GTINs (8-14 digits) multiple products can be requested at once min 1 / max 50. Use search tool first if only product name is known. OUTPUT: TOON format (compact YAML-like). Fields: name, brand, description, ingredients, nutrition, allergens, usage, warnings, URLs, images. found=false for unresolved IDs. NOT FOR: prices, availability, stock, reviews, recommendations ERRORS: validation error if >50 or no identifiers
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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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  • Web scraping for AI agents. Extract text and metadata from any URL worldwide. $0.005/page.

  • Search the AI Tool Directory catalog: tool details, status checks (alive/acquired/deceased + cause and date), alternatives, and side-by-side comparisons. Read-only.

  • Get a browser link the user opens to upload real image FILES to their site -- the reliable way to add actual photos, drawings, logos, or several images at once, and the tool to reach for the INSTANT a user pastes, attaches, uploads, or mentions an image they want used. Call this and hand the user the link ANY time they have an image -- they have no other way to know the upload option exists, so always surface it; do not try to ingest a pasted/attached image yourself. You cannot carry image bytes yourself -- a tool call is text you have to type out, so a real photo either will not fit or arrives corrupted. This returns an upload_url instead: give that link to the user, tell them it works from their phone too and is valid for about an hour. On that page they can upload their own files, pick from images they already uploaded, or search a free stock photo gallery -- all without leaving the browser. KEEP the returned token_id. When the user says they are done, call check_upload_link(token_id) to get back the EXACT images they chose and place those hosted URLs on the site with apply_dom_ops. role="logo" tags the link for a logo upload; "content" (default) for any other image. Requires an existing project_id -- create_project first if there is no project yet.
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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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  • Look up the public Website Launches launch record for a single domain. Returns launch timing, owner verification status, milestone summary, public trust context, and a public record URL. Single domain only; does not search, list, discover, or export websites. Hosting, registrar, and location are secondary details — only surface them if the user explicitly asks.
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  • Generate a video from images, video clips, or both, synced to an audio track. Use this for narrated question backgrounds, topic visualisations, or any form node that benefits from video. Combine with clipform_generate_tts for narrated audio and clipform_search_media for royalty-free images. Creates 9:16 (720x1280) with Ken Burns pan/zoom effects and transitions. Returns a public URL when complete. Items: type "image" (Ken Burns motion) or "video" (cover-cropped, muted by default). Duration matches audio_url or set duration_seconds explicitly. For multi-question builds, pass wait: false on every render: each call returns a job ID immediately, so all renders run in parallel - then collect URLs with clipform_check_render. Sequential waiting renders take 15-120 seconds EACH. Choosing a render tool: for a recognisable form/quiz beat (guess-the-city, this-or-that, mystery reveal, multiple choice, photo montage...) reach for a video template first (clipform_list_video_templates + clipform_render_video_template) - it is a one-call recipe. Use clipform_generate_video for a narrated or audio-synced media montage (images/clips timed to a voice track). Use clipform_render_composition only when neither fits and you need a custom layer stack. Montage disambiguation: choose clipform_generate_video when the montage is narrated or synced to an audio track; choose the slideshow video template when it is silent (motion + transitions only, no voice-over). A render for a form node is not done until it is attached to that node. Pass node_id (and form_id) so the completed render attaches itself automatically - do not poll clipform_check_render to completion or manually chain clipform_upload_media_asset + clipform_attach_node_media; fire the render and move on.
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  • Generate a patron's account statement at this operator. Returns the patron's purchase history, active credit tranches, per-tool usage breakdown, and recent daily usage logs. This is the patron's spending account — not the operator's Authority tax balance. Free — no credits consumed. Proof of npub ownership is required to prevent statement-scraping of arbitrary patrons.
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  • Compare two screenshots — a baseline/expected capture and a live/current capture of (nominally) the same screen — using a perceptual pixel-diff. Returns the similarity score and changed-pixel count as text, AND returns the baseline, live, and diff images as images you can view directly, so YOU judge whether any flagged difference is a real regression (layout shift, missing/broken element, wrong color/theme, wrong or garbled text, unexpected new content) or just benign noise (dynamic content like timestamps/ads/carousels, anti-aliasing, rendering noise) — this tool does not make that call for you. Provide either two raw base64 images, or a review_id (from list_visual_reviews) to pull a stored baseline instead of re-fetching it.
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  • Get term info for a VFB or anatomy ontology entity (VFB_*, FBbt_*, etc.). THIS IS THE QUERY DISCOVERY TOOL: the response's "Queries" array lists the valid query_type values that run_query accepts for this entity. ALWAYS call get_term_info before run_query unless you already obtained the query_type from a previous get_term_info call in this conversation. Returns: SuperTypes (classification), Tags (data flags like has_image, has_neuron_connectivity), Queries (valid query_types for run_query), RelatedTools (other MCP tools applicable to this entity, with default_args ready to copy — e.g. get_hierarchy with subclass_of for cell types or part_of for nervous-system regions), Images (keyed by template brain ID), Publications, Synonyms. Supports batch — pass an array of IDs to fetch in parallel; batch results are returned as a JSON object keyed by ID. To build VFB browser URLs from the Images field: https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?id=<VFB_ID>&i=<TEMPLATE_ID>,<IMAGE_ID1>,<IMAGE_ID2> — id= sets the focus term and i= lists images for the 3D viewer (template ID must be first in i= to set the coordinate space).
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  • Search images or stock video clips. Pass one query or many (max 10) - multiple queries run in one call instead of separate tool calls. Use results to feed into clipform_generate_video for narrated slideshow videos, or upload directly as still images via clipform_upload_media_asset then clipform_attach_node_media. All results are pre-cleared for commercial use. Results include a description (alt text where the provider has it) - use it to pick visually distinct images. Example: { queries: [{ query: "saturn rings" }, { query: "mars surface", count: 3 }] } returns portrait images for both.
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  • Google search results scraping via Decodo (formerly Smartproxy) — runs a Google search through rotating proxies and returns structured organic results (position, title, url, snippet) plus related searches when parsing succeeds. BYOK — _apiKey is your Decodo Web Scraping API "username:password" credentials. Example: decodo_google_search({ query: "best running shoes 2026", geo: "United States", _apiKey: "user:pass" })
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  • Find businesses, merchants and websites in the tunnel knowledge base by name or topic. Start here: every other tool needs a `slug`, and this is where a `slug` comes from. Returns an array of summaries, each with `slug`, `kind`, name, description and a `verification` object. Read `verification.level` rather than assuming: "human" means a tunnel employee checked the business, "automated" means machines proved only that the business controls its own channels, and null means neither. Zero matches is a normal answer, not an error — it comes back with `completeness` "empty". Authentication: none. This tool works with no credentials.
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  • What your websites have earned as publishers (USD cents): pending, due, paid, and the payout threshold.
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  • Get the full data for one product or more: all offers, the description, the attributes, and the images. Use a product ID from a `search_products` result, or a product URL from any retailer. Give several IDs in one call to compare products. The tool fetches them together. Do not use this tool to find products. Use `search_products` for that. The data shows to the user in the storefront UI. Do not repeat the specifications or the prices in your reply. Give a comment, a comparison, or a recommendation.
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  • Generate one or more Switch images. Auto-routes to the right model based on subject (Nano Banana 2 default, GPT Image 2 for swimwear/beach, Switch Model/Ultra/Pro for sexier content, Nano Banana Pro for typography-heavy). Counts <= 8 render inline in chat; counts > 8 queue to your Switch Studio with progress polling. All images persist to your Studio library and folder. Pass an optional `style` (e.g. "wellness/warm_amber_tropical", "high_fashion_editorial/testino_glossy", "movie_scene/neon_noir_action") to apply a curated photographic stack from the apply_* skill tools.
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  • Start a batch render job to generate multiple images from a single template with different variable sets. Each variable set produces a separate image. Supports up to 100 items per batch (plan-dependent). Common use cases: generating personalized social cards for all team members, product images for an entire catalog, event badges for all attendees, certificate images for course graduates, or marketing assets with localized content. WORKFLOW: 1) Use pictify_get_template_variables to discover variables, 2) Call this tool with an array of variable sets, 3) Use pictify_get_batch_results to poll for completion and get result URLs. The job runs asynchronously — this tool returns immediately with a batchId (HTTP 202). For generating a single multi-page PDF instead, use pictify_render_multi_page_pdf.
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