"A tool for image recognition" matching MCP tools:

• convert_imageA

  Pixel AgentA

  Convert one base64-encoded image to PNG, JPEG, WebP, or AVIF. Use input_mime_type with a real image MIME such as image/png or image/jpeg; common aliases like image/jpg, jpg, png, svg, and application/octet-stream with a filename are accepted. Use the REST API for source images larger than 5 MB. On every call, pass telemetry.agent_thinking with your reasoning for this specific call. Pass telemetry.user_intent only on the first tool call after a new user message.

  ConnectorNo auth

• request_image_upload_linkA

  Orivox AI Website BuilderA

  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_guid -- create_project first if there is no project yet.

  ConnectorOAuth

• upload_imageA

  AppScreenStudioB

  Prepare an image upload for the open project. Returns a one-time uploadUrl. POST the image as multipart form field "file" to that URL. The response JSON url is the stored image. Use it with update_screenshot imageUrl, add_asset src, set_project_background, or img src and CSS url() inside add_div or update_div html. For card images, use type asset. The link works once; if the POST fails, call this tool again. Pass base64 only when you cannot make that HTTP request.

  ConnectorNo auth

• aetherwave_remove_backgroundA

  AetherWave StudioA

  Strips the background from an image, returning a PNG with transparent alpha. Pass a public `imageUrl`. Useful for product shots, character cutouts, logo isolation, or compositing onto a new background. ~5 credits per image. Recraft is the primary provider; on outage the tool auto-falls back to fal.ai BiRefNet v2 so single-image calls never silently fail. Works best on photographic subjects (people, products, animals); transparent-PNG inputs have no foreground to segment. Returns within ~45 s. If the result has state "running" the job is still rendering: poll aetherwave_get_job with the returned taskId and kind every ~10 s. Pass wait:true ONLY if your MCP client permits tool calls longer than 60 s (most do not). Pass async:true to get the taskId back immediately without waiting.

  ConnectorNo auth

• generate_stock_research_reportA

  hpsilab-mcpA

  Full markdown research report with five stock-report charts. Pro tool ($0.35/call via x402 for anonymous callers; free within plan limits for signed-in accounts, subject to a monthly report quota). Runs analyze_stock and stock-report image generation concurrently, then renders a presentation-ready markdown report (direction, direction score, bullish / bearish factors, source-tool status, and the five chart embeds). The markdown is returned for display and the same data is mirrored in structured JSON. Signed-in hpsilab users call this within their plan's free rate limits. Anonymous / tokenless agents pay per call via x402 (USDC on Base) when payments are enabled — send the x402 payment in the request _meta. Args: symbol: Stock symbol, e.g. "RXRX". refresh: Bypass the backend's fresh IV cache for the IV-driven modules. Defaults to False. force_images: Force a fresh image render instead of reusing the backend's image cache. Defaults to False.

  ConnectorNo auth

• generate_stock_research_reportA

  HPSILab Quant FinanceA

  Full markdown research report with five stock-report charts. Pro tool ($0.35/call via x402 for anonymous callers; free within plan limits for signed-in accounts, subject to a monthly report quota). Runs analyze_stock and stock-report image generation concurrently, then renders a presentation-ready markdown report (direction, direction score, bullish / bearish factors, source-tool status, and the five chart embeds). The markdown is returned for display and the same data is mirrored in structured JSON. Signed-in hpsilab users call this within their plan's free rate limits. Anonymous / tokenless agents pay per call via x402 (USDC on Base) when payments are enabled — send the x402 payment in the request _meta. Args: symbol: Stock symbol, e.g. "RXRX". refresh: Bypass the backend's fresh IV cache for the IV-driven modules. Defaults to False. force_images: Force a fresh image render instead of reusing the backend's image cache. Defaults to False.

  ConnectorNo auth

• prepare_image_uploadA

  RooQuizA

  Step 1 of 2 for adding an image (PNG / JPEG / GIF / WebP) to the current team media library. This tool does NOT receive image bytes — it returns a short-lived presigned URL you upload the file to directly, so even large images never pass through this conversation. Workflow: (1) save the image to a local temp file; (2) if the file is larger than 5MB, compress / downscale it to 5MB or less FIRST (e.g. `sips -Z 2048 in.png --out out.jpg` on macOS, or `magick in.png -resize "2048x2048>" -quality 82 out.webp`) — uploads over 5MB are rejected; (3) call this tool with filename, mimeType and (optionally) fileSize; (4) HTTP PUT the temp file to the returned uploadUrl with the matching Content-Type header, e.g. `curl -X PUT --upload-file <file> "<uploadUrl>" -H "Content-Type: image/png"`; (5) call finalize_image_upload with the returned key; (6) delete the temp file. Max 5MB after compression. Only image/png, image/jpeg, image/gif and image/webp are accepted.

  ConnectorAPI key

• prepare_image_uploadA

  RooQuizA

  Step 1 of 2 for adding an image (PNG / JPEG / GIF / WebP) to the current team media library. This tool does NOT receive image bytes — it returns a short-lived presigned URL you upload the file to directly, so even large images never pass through this conversation. Workflow: (1) save the image to a local temp file; (2) if the file is larger than 5MB, compress / downscale it to 5MB or less FIRST (e.g. `sips -Z 2048 in.png --out out.jpg` on macOS, or `magick in.png -resize "2048x2048>" -quality 82 out.webp`) — uploads over 5MB are rejected; (3) call this tool with filename, mimeType and (optionally) fileSize; (4) HTTP PUT the temp file to the returned uploadUrl with the matching Content-Type header, e.g. `curl -X PUT --upload-file <file> "<uploadUrl>" -H "Content-Type: image/png"`; (5) call finalize_image_upload with the returned key; (6) delete the temp file. Max 5MB after compression. Only image/png, image/jpeg, image/gif and image/webp are accepted.

  ConnectorAPI key

• extract_text_ocrA

  Razi ToolsA

  Use this ONLY when the text exists as PIXELS and nothing else — a photo, a screenshot, a scan. It runs optical character recognition on an image and GUESSES the characters, so it is a best-effort transcription that misreads under blur, skew or low contrast. Returns JSON { text, language, confidence? }. If the file already stores real characters, this is the wrong tool and will be less accurate: parse_document reads them exactly. The deciding question is what the bytes contain, never the file extension — a .png of a letter needs this tool, a .txt never does. Layout is not preserved — no tables, columns or coordinates, just a flat string. Paid compute; 20 calls per hour per IP. There is no upload channel over MCP: pass `fileUrl`, a URL in razi.pro's own storage; third-party URLs are rejected. Obtain one by uploading the image over the REST API first (POST /api/v1/tools/execute with the file attached).

  ConnectorNo auth

• extract_text_ocrA

  Razi Document ToolsA

  Use this ONLY when the text exists as PIXELS and nothing else — a photo, a screenshot, a scan. It runs optical character recognition on an image and GUESSES the characters, so it is a best-effort transcription that misreads under blur, skew or low contrast. Returns JSON { text, language, confidence? }. If the file already stores real characters, this is the wrong tool and will be less accurate: parse_document reads them exactly. The deciding question is what the bytes contain, never the file extension — a .png of a letter needs this tool, a .txt never does. Layout is not preserved — no tables, columns or coordinates, just a flat string. Paid compute; 20 calls per hour per IP. There is no upload channel over MCP: pass `fileUrl`, a URL in razi.pro's own storage; third-party URLs are rejected. Obtain one by uploading the image over the REST API first (POST /api/v1/tools/execute with the file attached).

  ConnectorNo auth

• image_compressA

  GO AI ToolsA

  Downscales an image to fit within a maximum dimension (default 1600px on the longer side, never enlarges -- matching GO AI's browser compressor tool) and re-encodes it as JPEG, WebP or AVIF at a given quality (1-100 scale, default 75). Input is base64-encoded image bytes (any format sharp/libvips can decode: JPEG, PNG, WebP, AVIF, GIF, TIFF, ...), not a file path or URL, capped at this server's input size limit. Returns the compressed image bytes plus a stats object: original and compressed dimensions and byte sizes, and the percent size change (positive = smaller, negative = the re-encode came out bigger, which happens when compressing an already-small, already-compressed image). Re-encoding always strips EXIF/ICC metadata, exactly like the source tool.

  ConnectorNo auth

• create_update_image_adA

  Metadata MCP ConnectorA

  Create OR update an IMAGE (or GIF) ad on Facebook, Instagram, LinkedIn, and/or Reddit. TO UPDATE: include `id`; to CREATE: omit it. CREATIVE WORKFLOW: 1. Upload the image/GIF via `upload_image_creative` → response gives `id` (the imageLibraryId). 2. Pass that integer as `creativeID` here. - Need a new image? `generate_brand_creative` → `upload_image_creative` → `create_update_image_ad`. ALSO KNOWN AS: create image ad, update image ad, edit image ad, modify image ad, image creative, post image, image post, photo ad. KEYWORDS: image, gif, create, update, edit, modify, ad, ads, image ad, image ads, image creative, photo, picture, banner, image campaign, image upload, LinkedIn image, Facebook image, Instagram image, Reddit image, IG post. CLIENT-SIDE VALIDATION (refuses what the platform UI would also reject): - adName: required, max 50 chars, pattern `[a-zA-Z0-9 _.?,:'/+\-=&;%$#\[\]|()]`. - creativeID: required integer (imageLibraryId from `upload_image_creative`). - Landing-page URL is per channel (`facebookDisplayURL`, `instagramDisplayURL`, `linkedinDisplayURL`, `redditDisplayURL`). Required for FB/IG/LinkedIn, optional for Reddit. Per-channel caps: LinkedIn max 2000, Reddit max 100, FB/IG no length rule. URL format accepts both `metadata.io` and `https://metadata.io` for IMAGE ads. If only one channel's URL is set the server fans it across the other targeted channels; each channel's cap is then enforced per channel. - LinkedIn: linkedinText (required, max 3000), linkedinHeadline (required, max 200), linkedinDescription (optional, max 300 — IMAGE only), linkedinCTA (required, must be a valid LinkedIn CTA enum). - Facebook: metaCTA (required), facebookText (required, no length rule on Facebook), facebookHeadline (required, max 250), facebookDescription (optional, max 300). - Instagram: metaCTA (required), instagramText (required, max 125), instagramHeadline (required, max 40), instagramDescription (optional, max 30). - FB+IG ad with one body text: set just one of facebookText / instagramText and the server copies it across (capped at the receiving channel's limit). Set both explicitly only when you want per-channel copy. - Reddit: redditHeadline (required, max 300), redditCTA (required, must be a valid Reddit CTA enum). redditThumbnailLibraryId is optional and defaults to creativeID. COMMON CTA VALUES: - LinkedIn: LEARN_MORE, REGISTER, APPLY_NOW, DOWNLOAD, JOIN, SIGN_UP, GET_QUOTE, ATTEND, REQUEST_DEMO, SUBSCRIBE. (UNLOCK_FULL_DOCUMENT is DOCUMENT-only — use create_update_document_ad, not this tool.) - Facebook/Instagram: APPLY_NOW, DOWNLOAD, GET_QUOTE, LEARN_MORE, SIGN_UP, SUBSCRIBE. (SCREAMING_SNAKE form only; the platform supports a strict subset of Meta's native catalog. Out-of-set values like BOOK_NOW / GET_STARTED are rejected.) - Reddit: Apply Now, Contact Us, Download, Get a Quote, Learn More, Play Now, Sign Up, View More, Watch Now, Book Now, Listen Now, Read More, Subscribe. See `create_update_video_ad` for video-creative ads (different libraryId source + stricter URL format).

  Connector

  Destructive

  API key

• vision.outfit.detect_piecesA

  mcp-fashionA

  Deconstruct an outfit image or influencer photo into individual fashion pieces (e.g. Upper-body garment, Lower-body garment, Dress, Footwear, Bag, Headwear) with normalized bounding box coordinates and detection confidence scores. PURPOSE & DISAMBIGUATION: - Computer-vision object detection tool designed to analyze multi-item outfit photographs and isolate individual garments with their spatial coordinates. - Distinct from 'products.search.image_url' / 'products.search.image_upload': Use this tool to segment a full outfit into pieces before querying, NOT to directly retrieve catalog search results. - Distinct from 'looks.curation.recommend': Use this tool for image-based piece decomposition, NOT text-based styling suggestions. WHEN TO USE: - When the user provides a full-body model photo, street style snapshot, or celebrity outfit and wants to identify each individual clothing piece (jacket, top, pants, shoes, bag) to find matching products for each piece. WHEN NOT TO USE: - Do NOT use when the image contains only a single standalone garment (use 'products.search.image_url' or 'products.search.image_upload' directly). - Do NOT use for text-only searches (use 'products.search.text'). BEHAVIOR & SAFETY: - Read-only and idempotent with no persistent state modifications. - Supports input via local file path ('image_path'), base64 string ('image_base64'), or public URL ('image_url'). Exactly one source must be provided. - Returns an array of detected piece objects with 'label', 'confidence' (0.0 to 1.0), and normalized 'box' coordinates [ymin, xmin, ymax, xmax]. PARAMETERS & CONSTRAINTS: - 'image_path' (string, optional): Local file system path to the outfit image (e.g. '/tmp/outfit.jpg'). - 'image_base64' (string, optional): Base64-encoded image data string. - 'image_url' (string, optional): Public HTTP(S) URL of the image. - 'threshold' (number 0.05-0.95, default 0.22): Detection confidence threshold for bounding box filtering.

  ConnectorNo auth

• vision.outfit.detect_piecesA

  PoloPan Fashion MCP ServerA

  Deconstruct an outfit image or influencer photo into individual fashion pieces (e.g. Upper-body garment, Lower-body garment, Dress, Footwear, Bag, Headwear) with normalized bounding box coordinates and detection confidence scores. PURPOSE & DISAMBIGUATION: - Computer-vision object detection tool designed to analyze multi-item outfit photographs and isolate individual garments with their spatial coordinates. - Distinct from 'products.search.image_url' / 'products.search.image_upload': Use this tool to segment a full outfit into pieces before querying, NOT to directly retrieve catalog search results. - Distinct from 'looks.curation.recommend': Use this tool for image-based piece decomposition, NOT text-based styling suggestions. WHEN TO USE: - When the user provides a full-body model photo, street style snapshot, or celebrity outfit and wants to identify each individual clothing piece (jacket, top, pants, shoes, bag) to find matching products for each piece. WHEN NOT TO USE: - Do NOT use when the image contains only a single standalone garment (use 'products.search.image_url' or 'products.search.image_upload' directly). - Do NOT use for text-only searches (use 'products.search.text'). BEHAVIOR & SAFETY: - Read-only and idempotent with no persistent state modifications. - Supports input via local file path ('image_path'), base64 string ('image_base64'), or public URL ('image_url'). Exactly one source must be provided. - Returns an array of detected piece objects with 'label', 'confidence' (0.0 to 1.0), and normalized 'box' coordinates [ymin, xmin, ymax, xmax]. PARAMETERS & CONSTRAINTS: - 'image_path' (string, optional): Local file system path to the outfit image (e.g. '/tmp/outfit.jpg'). - 'image_base64' (string, optional): Base64-encoded image data string. - 'image_url' (string, optional): Public HTTP(S) URL of the image. - 'threshold' (number 0.05-0.95, default 0.22): Detection confidence threshold for bounding box filtering.

  ConnectorNo auth

• vision.outfit.detect_piecesA

  PoloPan Fashion MCP ServerA

  Deconstruct an outfit image or influencer photo into individual fashion pieces (e.g. Upper-body garment, Lower-body garment, Dress, Footwear, Bag, Headwear) with normalized bounding box coordinates and detection confidence scores. PURPOSE & DISAMBIGUATION: - Computer-vision object detection tool designed to analyze multi-item outfit photographs and isolate individual garments with their spatial coordinates. - Distinct from 'products.search.image_url' / 'products.search.image_upload': Use this tool to segment a full outfit into pieces before querying, NOT to directly retrieve catalog search results. - Distinct from 'looks.curation.recommend': Use this tool for image-based piece decomposition, NOT text-based styling suggestions. WHEN TO USE: - When the user provides a full-body model photo, street style snapshot, or celebrity outfit and wants to identify each individual clothing piece (jacket, top, pants, shoes, bag) to find matching products for each piece. WHEN NOT TO USE: - Do NOT use when the image contains only a single standalone garment (use 'products.search.image_url' or 'products.search.image_upload' directly). - Do NOT use for text-only searches (use 'products.search.text'). BEHAVIOR & SAFETY: - Read-only and idempotent with no persistent state modifications. - Supports input via local file path ('image_path'), base64 string ('image_base64'), or public URL ('image_url'). Exactly one source must be provided. - Returns an array of detected piece objects with 'label', 'confidence' (0.0 to 1.0), and normalized 'box' coordinates [ymin, xmin, ymax, xmax]. PARAMETERS & CONSTRAINTS: - 'image_path' (string, optional): Local file system path to the outfit image (e.g. '/tmp/outfit.jpg'). - 'image_base64' (string, optional): Base64-encoded image data string. - 'image_url' (string, optional): Public HTTP(S) URL of the image. - 'threshold' (number 0.05-0.95, default 0.22): Detection confidence threshold for bounding box filtering.

  ConnectorNo auth

• generate-imageA

  CanvaB

  Generate a standalone image from a text prompt, or edit/restyle images supplied as references. **When to use:** Use this tool based on the requested output, not assumed model limitations such as an inability to render text. If the user explicitly asks for an image, picture, photo, illustration, artwork, sticker, icon, graphic, or 2d vector, use this tool. The explicitly named output takes priority over design-like content within it, including text, statistics, labels, callouts, or an infographic-like composition. For example, "create an image about coffee with bold stat callouts" uses generate-image. Use create-design when the requested output itself is an editable Canva page or layout, such as "create an infographic". "Create an image of an infographic" still uses generate-image. The verb "create" or "design" alone does not make the request a Canva design. **When not to use:** Do not use when the requested output itself is a designed page or layout, such as an infographic, poster, wallpaper, flyer, presentation, or social media post; use create-design. To add, position, resize, or replace content inside an existing design, use the design-editing workflow instead; the image is source media and the design page is the edit target. **Image references and attachments:** For image-to-image generation or editing, add one MEDIA entry to imageReferences for every reference image. Pass the ID of an existing Canva MEDIA content reference directly. Before using a user-provided attachment as a reference, upload it to Canva: call create-upload-url, then send the attachment's raw bytes to the returned upload URL exactly as instructed. Each upload URL is single-use, so call create-upload-url separately for every attachment. Wait for every upload to succeed, then use the mediaId from each upload response as a separate MEDIA entry in imageReferences. For example, after uploading two attachments (replace the illustrative IDs with their returned mediaIds): ```json { "prompt": "Restyle both reference images as watercolor illustrations", "imageReferences": [ {"type": "MEDIA", "id": "MAAAAAAAAAAA"}, {"type": "MEDIA", "id": "MBBBBBBBBBBB"} ] } ``` Use exactly one imageReferences entry per successfully uploaded attachment. Never combine multiple media IDs into one string or object, and never put an upload URL in imageReferences. Do not pass assistant-hosted attachment URLs directly to this tool. If any attachment cannot be uploaded, do not silently omit it; explain the failure to the user. Omit imageReferences for pure text-to-image generation. **Result:** This call returns only a jobId, not the finished image. When this tool's UI widget is shown, the widget polls get-generate-image-job itself and displays the image when ready - do not poll it yourself. Only when no widget is shown, pass the jobId to get-generate-image-job and keep checking until the job succeeds or fails.

  ConnectorOAuth

• get-generate-image-jobA

  CanvaB

  Check an image generation job started by generate-image. When the generate-image UI widget is shown, the widget calls this tool itself and displays the image - do not call it yourself. Only when no widget is shown, pass the jobId returned by generate-image. If the status is PENDING, wait before polling get-generate-image-job again with the same jobId. Continue polling until the status is SUCCESS or FAILURE. Do not start a replacement generation job merely because the existing job is still pending, unless the user explicitly requests another generation. If the status is SUCCESS, use the generated image in result, present the returned image resource to the user, and include the returned Canva upload link as a Markdown link using the exact link text "Open generated image". The link opens the generated image in Canva, not the Canva editor. If the status is SUCCESS but the response says the image link is not ready yet, wait and call this tool again with the same jobId. Never finish a successful image-generation request without including the returned "Open generated image" link in the user-facing response, even when an inline image preview is visible. If the status is FAILURE, stop polling and explain the failure using failureType and failureMessage.

  ConnectorOAuth

• generate-imageA

  Canva MCPB

  Generate a standalone image from a text prompt, or edit/restyle images supplied as references. **When to use:** Use this tool based on the requested output, not assumed model limitations such as an inability to render text. If the user explicitly asks for an image, picture, photo, illustration, artwork, sticker, icon, graphic, or 2d vector, use this tool. The explicitly named output takes priority over design-like content within it, including text, statistics, labels, callouts, or an infographic-like composition. For example, "create an image about coffee with bold stat callouts" uses generate-image. Use create-design when the requested output itself is an editable Canva page or layout, such as "create an infographic". "Create an image of an infographic" still uses generate-image. The verb "create" or "design" alone does not make the request a Canva design. **When not to use:** Do not use when the requested output itself is a designed page or layout, such as an infographic, poster, wallpaper, flyer, presentation, or social media post; use create-design. To add, position, resize, or replace content inside an existing design, use the design-editing workflow instead; the image is source media and the design page is the edit target. **Image references and attachments:** For image-to-image generation or editing, add one MEDIA entry to imageReferences for every reference image. Pass the ID of an existing Canva MEDIA content reference directly. Before using a user-provided attachment as a reference, upload it to Canva: call create-upload-url, then send the attachment's raw bytes to the returned upload URL exactly as instructed. Each upload URL is single-use, so call create-upload-url separately for every attachment. Wait for every upload to succeed, then use the mediaId from each upload response as a separate MEDIA entry in imageReferences. For example, after uploading two attachments (replace the illustrative IDs with their returned mediaIds): ```json { "prompt": "Restyle both reference images as watercolor illustrations", "imageReferences": [ {"type": "MEDIA", "id": "MAAAAAAAAAAA"}, {"type": "MEDIA", "id": "MBBBBBBBBBBB"} ] } ``` Use exactly one imageReferences entry per successfully uploaded attachment. Never combine multiple media IDs into one string or object, and never put an upload URL in imageReferences. Do not pass assistant-hosted attachment URLs directly to this tool. If any attachment cannot be uploaded, do not silently omit it; explain the failure to the user. Omit imageReferences for pure text-to-image generation. **Result:** This call returns only a jobId, not the finished image. When this tool's UI widget is shown, the widget polls get-generate-image-job itself and displays the image when ready - do not poll it yourself. Only when no widget is shown, pass the jobId to get-generate-image-job and keep checking until the job succeeds or fails.

  ConnectorOAuth

• get-generate-image-jobA

  Canva MCPB

  Check an image generation job started by generate-image. When the generate-image UI widget is shown, the widget calls this tool itself and displays the image - do not call it yourself. Only when no widget is shown, pass the jobId returned by generate-image. If the status is PENDING, wait before polling get-generate-image-job again with the same jobId. Continue polling until the status is SUCCESS or FAILURE. Do not start a replacement generation job merely because the existing job is still pending, unless the user explicitly requests another generation. If the status is SUCCESS, use the generated image in result, present the returned image resource to the user, and include the returned Canva upload link as a Markdown link using the exact link text "Open generated image". The link opens the generated image in Canva, not the Canva editor. If the status is SUCCESS but the response says the image link is not ready yet, wait and call this tool again with the same jobId. Never finish a successful image-generation request without including the returned "Open generated image" link in the user-facing response, even when an inline image preview is visible. If the status is FAILURE, stop polling and explain the failure using failureType and failureMessage.

  ConnectorOAuth

• get_image_upload_ticketA

  OnlyWorldsA

  Get a ticket to upload ONE image into this world, for an element's `image_url` (Keel #59). The image never passes through this tool: you send its bytes yourself, straight to the image host, with the ticket. Steps: 1. Call this tool. You get `ticket`, `upload_url`, `max_bytes` and `exp`. 2. Upload the image yourself: `curl -X POST <upload_url> -H "Authorization: Bearer <ticket>" --data-binary @picture.webp` (raw bytes as the body; webp, png, jpeg or avif, no SVG; at most `max_bytes`; before `exp`). The host answers 201 with `{url, key, bytes, type, etag}`. 3. Set the element's picture: `update_element(type, id, {"image_url": <url>})`. One ticket, one upload: a second upload with the same ticket is refused (401 ticket_used); call this tool again for the next image. Each ticket counts toward the world's daily limit, and each upload toward its account's image storage (1 GB by default; `max_bytes` shrinks to what is left, and a full account is refused). Requires a WRITE API-Key and its PIN.

  ConnectorNo auth

• generate_imageA

  Private AI Media GenerationA

  Render or transform an image or video with a catalog model (t2i, i2i, t2v, i2v, tool — tools like upscale/remove-background take image with no prompt; face-swap takes image + image2; motion models take image + video) — including the private model line flagged private=true in list_models. PAID. If this MCP request carries your API key (x-api-key / Authorization: Bearer lp_… — create at https://livepairai.com/settings after /auth/sign-up) the run executes right here and returns {status:'done',url} or a jobId to poll with get_job. Without a key the upstream answers 402 and this tool returns the x402 payment requirements (USDC on Base) for your wallet to settle.

  ConnectorNo auth