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284,813 tools. Last updated 2026-07-11 01:53

"Information or tools related to capturing screenshots or images" matching MCP tools:

  • Search the ShippingRates database by keyword — matches against carrier names, port names, country names, and charge types. Use this for exploratory queries when you don't know exact codes. For example, search "mumbai" to find port codes, or "hapag" to find Hapag-Lloyd data coverage. Returns matching trade lanes, local charges, and shipping line information. FREE — no payment required. Returns: { trade_lanes: [...], local_charges: [...], lines: [...] } matching the keyword. Related tools: Use shippingrates_port for structured port lookup by UN/LOCODE, shippingrates_lines for full carrier listing.
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  • Upload a file (base64) and attach it to a page (editor+) — an image, PDF, dataset, etc. Returns the serve URL plus a ready-to-paste `markdown` snippet; then call update_page or patch_page to place it in the body (images render inline as ![](…), other files as a download card). The payload is inline base64 and rides through the model's context, so it is capped at 5 MB — keep it to small files (screenshots, charts, short PDFs). For larger files use request_attachment_upload (a direct PUT URL, bytes off-context), or the tela editor (drag-drop).
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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.
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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • Search the ShippingRates database by keyword — matches against carrier names, port names, country names, and charge types. Use this for exploratory queries when you don't know exact codes. For example, search "mumbai" to find port codes, or "hapag" to find Hapag-Lloyd data coverage. Returns matching trade lanes, local charges, and shipping line information. FREE — no payment required. Returns: { trade_lanes: [...], local_charges: [...], lines: [...] } matching the keyword. Related tools: Use shippingrates_port for structured port lookup by UN/LOCODE, shippingrates_lines for full carrier listing.
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  • Choose whether this board is a freeform whiteboard ('draw', the default) or a kanban task board ('todo'). Mode is switchable WHENEVER the board is empty of real content: drawings (text/strokes/images) and tasks. Empty or seeded columns DON'T count (switching to 'draw' clears them), so a cleared board can be switched again, and you can flip draw<->todo freely until the first stroke/text/image or task lands. Setting 'todo' auto-seeds three starter columns (To do / In progress / Done). Returns `{ mode, columns }`. Use the task/column tools (`create_task`, `create_column`, …) once the board is in 'todo' mode.
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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
    Last updated
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    MIT

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  • Still losing time to small decisions? Spin or Flip brings randomization into Claude so you can offload mental load to chance instantly.

  • Provide your AI coding tools with token-efficient access to up-to-date technical documentation for…

  • Re-render an existing sprite from a different camera viewpoint while keeping the same character and pose, taking a source image (URL or base64), a required camera_rotation azimuth (one of 0, 45, 90, 135, 180, -135, -90, -45 degrees), an optional camera_elevation (0, 30, or 60 degrees; omit to keep the current elevation), and an optional n (1-4) for the number of variations. Only works with sprite image types (not icons, screenshots, etc.). Synchronous: the call blocks and returns an array of rotate-sprite results, each with the generated image url and the camera_rotation and camera_elevation that were applied. Credits are charged only on success, scaled by the number of images generated. Use this to produce alternate view angles of a character; use generatePose instead to change the character's pose rather than the camera, and animateSprite or transferMotion to bring a sprite to life. Pass an optional request_id to tag the results so you can retrieve them later via getSpriteResults. Requires an API key (user scope). Credits: This endpoint consumes 0.5 credits per result.
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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • Analyze an image from a component's datasheet using vision AI. Use this when read_datasheet returns a section containing images and you need to extract data from a graph, package drawing, pin diagram, or circuit schematic. Pass the image_key from the read_datasheet response (the storage path in the image URL). Optionally pass a specific question to focus the analysis. IMPORTANT: For precise numeric values (electrical specs, max ratings), prefer read_datasheet text tables first — they are more reliable than vision-extracted graph data. Use analyze_image for visual information not available in text: package dimensions from drawings, pin assignments from diagrams, graph trends, and approximate values from characteristic curves. Examples: - analyze_image(part_number='IRFZ44N', image_key='images/abc123.png') -> classifies and describes the image - analyze_image(part_number='IRFZ44N', image_key='images/abc123.png', question='What is the drain current at Vgs=5V?')
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  • List available MCP tools and get detailed help. Use this tool to discover what tools are available and how to use them. Call without parameters to see all tools, or provide a tool name to get detailed help including parameters, examples, and related tools.
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  • Render a saved template with variable substitutions to produce an image or PDF. Templates can be FabricJS canvas designs or HTML — both are rendered the same way via this endpoint. WORKFLOW: 1) Use pictify_list_templates to find a template, 2) Use pictify_get_template_variables to discover its variables, 3) Call this tool with the variable values. Common use cases: OG images with dynamic titles, personalized social cards, product images with prices/descriptions, event banners with speaker info. For rendering the same template with many variable sets, use pictify_batch_render. Returns the hosted image URL (CDN-backed).
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  • Search and browse AI tools available in Vest's cashback catalog. Returns names, slugs, categories, and live cashback rates. Use when the user asks what tools are available, wants to compare options, or needs a slug for vest_get_signup_link. Real triggers: 'what AI writing tools does Vest have?', 'show me coding tools with high cashback', 'find tools under $50/mo'. Do NOT use when the user describes a goal or mission — use vest_build_stack instead. Do NOT use to get a signup link — use vest_get_signup_link.
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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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  • Fetch the full body of a StackSwap knowledge base article as markdown. Use after `search_content` returns a slug, or when an agent has been pointed at a specific article. Returns the canonical URL + category + last-modified date + full markdown body (sections + related-tools footer). Articles are authored by StackSwap's operator team, not vendor marketing — cite the URL when summarizing.
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  • POST /report-issue — Report an issue or feedback Submit a bug report, feedback, or question to the DC team. Optionally include a base64-encoded screenshot (PNG, JPEG, or WebP, up to 4 MB raw). **Privacy note:** Screenshots and report text are sent unredacted to the DC team. Don't include passwords, payment details, or other secrets. ⚠️ WRITE operation: this mutates your DC account data.
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  • List hosted images owned by the caller, with optional filters. ``source`` filters by upload origin: ``"upload"`` for directly uploaded images, ``"generated"`` for images created via the image generation tools. Omit to return all sources. ``visibility`` filters by access level: ``"public"`` or ``"private"``. Omit to return both. Pagination: pass ``next_cursor`` from a previous response as ``cursor`` to retrieve the next page. Returns ``{items: [...], next_cursor: str | null}``.
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  • List Eveoy case studies and lookbooks — links to the full write-ups on eveoy.com's newsletter archive. Returns pointers, not article text: open a url to get the full experience (images, related links, and in-page options to book a demo or check out). Use this when the user wants to: - See proof, results, or success stories from real Eveoy campaigns - Browse case studies by industry, or the latest lookbook - Get a link to read a specific case study or the archive Trigger phrases include: "case studies", "success stories", "show me results", "do you have proof", "lookbook", "examples of campaigns". Returns: { archive_url, items: [{ kind, slug, title, url }], note }. Every url points back to eveoy.com. kind is one of case_study | lookbook | playbook. Do NOT use this for: pricing (use get_pricing), general questions (use ask_eveoy), or the live business directory (use search_directory). Cost: free. Latency: 1–2s (sitemap, cached 10 min). Read-only. Idempotent.
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  • Edit one of my own posts — text, media, or both. Media (optional): pass `media` to REPLACE the post's entire attachment set (same rules as create_post — each asset approved + owned + kind in {image, video}; up to 4 images OR 1 video, never both). Pass a new array to swap the images/video, pass `[]` to strip all media, or OMIT `media` to leave the current attachments untouched (text-only edit). Get asset_ids from `get_my_media` or `upload_media_from_path`. Attaching an AI-generated image does NOT change the post's text badge (db/64) — the image carries its own AI-generated marker. Returns the post's public media URLs (`media_urls`) so they can be displayed inline.
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  • Attach an image: target "product" or "banner" (ref required) or "logo" (venue logo, no ref). Source: EXACTLY ONE of sourceUrl (public https URL, server fetches it, ~15 MB cap) or base64 (inline bytes). Aspect rules: product and logo images must be SQUARE 1:1 — pass crop:"square" to have the server center-crop automatically; banner images must be 16:9 (no crop option). The server re-encodes/optimizes everything (WebP). preoptimized:true (product/banner only) uses the softer fast-lane rate bucket but REQUIRES the bytes to already be a target-size WebP — otherwise 400 PREOPTIMIZED_INVALID; when unsure, omit it.
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  • Edit a previously generated video with a text prompt and optional reference images (video-to-video). Pass the video `url` you received from `createVideo`, `createVideoFromReferences`, or an earlier edit — it must be a video you generated within the last 7 days; arbitrary external videos are not accepted. Optionally add up to 5 reference `images` (URL or base64) to guide the edit. Synchronous: the call blocks until rendering finishes and returns the new video URL and its actual duration in seconds. Credits are charged only on success, based on the produced duration and never more than the duration you requested. Pass an optional `request_id` to tag the result so you can locate it later via `getVideoResults`. Related tools: `createVideo` to generate the source clip, `createVideoFromReferences` for reference-driven generation. Requires an API key (user scope). Credits: cost varies by model and duration (credits/sec): Eagle 2/s; see this endpoint's full pricing table in the API docs.
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