"Generating a series of images using MCP from a sample image" matching MCP tools:

• delete_product_imageA

  PartleA

  Remove a specific image from a product. Destructive, idempotent. Authenticated. OAuth (scope `products:write`) preferred; `api_key` fallback. Use when an image was uploaded by mistake or the merchant updated their listing. The product itself is preserved — only the image record and its file are removed. To remove the product entirely use `delete_product`. Args: product_id: ID of the product the image belongs to. image_id: ID of the image to delete. Visible in the `images` array of `get_product` responses. api_key: Optional API key (`pk_*`, generate at /account). Used when there is no OAuth token, and also when the OAuth token lacks the required scope — an explicitly passed key overrides an ambient token that is scoped too narrowly. An invalid or revoked token still fails regardless. Omit when using OAuth. Returns: ``{"deleted": True, "product_id": int, "image_id": int}`` on success, or ``{"error": ...}`` on auth/ownership failure.

  Connector

  Destructive

  No auth

• delete_product_imageA

  Partle MarketplaceA

  Remove a specific image from a product. Destructive, idempotent. Authenticated. OAuth (scope `products:write`) preferred; `api_key` fallback. Use when an image was uploaded by mistake or the merchant updated their listing. The product itself is preserved — only the image record and its file are removed. To remove the product entirely use `delete_product`. Args: product_id: ID of the product the image belongs to. image_id: ID of the image to delete. Visible in the `images` array of `get_product` responses. api_key: Optional API key (`pk_*`, generate at /account). Used when there is no OAuth token, and also when the OAuth token lacks the required scope — an explicitly passed key overrides an ambient token that is scoped too narrowly. An invalid or revoked token still fails regardless. Omit when using OAuth. Returns: ``{"deleted": True, "product_id": int, "image_id": int}`` on success, or ``{"error": ...}`` on auth/ownership failure.

  Connector

  Destructive

  No auth

• image_hashA

  TanodA

  imagepeek: Compute perceptual hashes of an image, optionally compared. To group duplicates among up to 100 images use image_dedupe. Returns perceptual hashes of an image (aHash, dHash, pHash, wHash; 64 or 256 bits, imagehash-compatible) and, with a second image (`compare_url` or `compare_base64`), the Hamming distance and similarity per algorithm and `likely_same` (pHash distance at most bits / 6). A near-duplicate check, not proof that two images are or are not the same. With a second image the request body may be up to twice the single-image cap. Reads PNG, JPEG, WebP, GIF, TIFF, BMP, ICO and AVIF; other formats and images over 40 megapixels are refused (not charged). Images are never logged or stored. Typically 0.5-2 s. Price: USD 0.002. Free: 3 imagepeek calls per IP per UTC day. Docs: https://tanod.dev/learn/image-perceptual-hash-api.html

  ConnectorNo auth

• image_hashA

  Tanod ImagesA

  imagepeek: Compute perceptual hashes of an image, optionally compared. To group duplicates among up to 100 images use image_dedupe. Returns perceptual hashes of an image (aHash, dHash, pHash, wHash; 64 or 256 bits, imagehash-compatible) and, with a second image (`compare_url` or `compare_base64`), the Hamming distance and similarity per algorithm and `likely_same` (pHash distance at most bits / 6). A near-duplicate check, not proof that two images are or are not the same. With a second image the request body may be up to twice the single-image cap. Reads PNG, JPEG, WebP, GIF, TIFF, BMP, ICO and AVIF; other formats and images over 40 megapixels are refused (not charged). Images are never logged or stored. Typically 0.5-2 s. Price: USD 0.002. Free: 3 imagepeek calls per IP per UTC day. Docs: https://tanod.dev/learn/image-perceptual-hash-api.html

  ConnectorNo auth

• set_entry_galleryA

  Verified HandlesA

  Set the images an entry shows after its lead image: the whole ordered list of media ids (from media_catalog or get_entry), replacing the gallery; [] empties it. At most 5 (6 images in all with the lead), each once, never the lead itself (set_entry_image sets that). An image taken off loses its link; `links` sets or clears the link of an image in the list (needs Link images). A live edit, audited. Dry run by default. To ask a reviewer instead, use propose_entry_change.

  Connector

  Destructive

  OAuth

• lab_umzugA

  FilmLabA

  Bring Midjourney exports into a project (FilmLab calls this 'Umzug'). Midjourney has no API, so the person downloads their images or ZIP and this tool carries them on. Give EXACTLY ONE of: `dateien` (names/types/sizes of local files → signed PUT addresses with a ready curl line; PUT the raw bytes, then call again with `quellen` from `weiter`), `quellen` (after the PUT: starts the import job → job_id; poll lab_get_job — result.bildzeilen lists image_id and datei per image (the prompt per image comes with `bilder: true`), result.gesperrt names refused images with the reason, result.ungeprueft images whose check was unreachable), `prompts` (pasted Midjourney prompts, one per line → parameters split and what does not carry over, e.g. --sref codes; free, no job), `anker` ({name, image_ids ≤ 12} → a look anchor for lab_generate's anker_id; images of real people are refused) or `bilder: true` (the project's imported images with image_id and prompt). Every imported image is declared AI material (EU AI Act Art. 50) — no herkunft question. An image_id works directly in lab_animate (source_image_id), as a seed in lab_generate and in lab_referenz_aus_bild. Uploading is free.

  ConnectorOAuth

• image_hashA

  Tanod MCP Server (Deprecated)A

  imagepeek: Compute perceptual hashes of an image, optionally compared. To group duplicates among up to 100 images use image_dedupe. Returns perceptual hashes of an image (aHash, dHash, pHash, wHash; 64 or 256 bits, imagehash-compatible) and, with a second image (`compare_url` or `compare_base64`), the Hamming distance and similarity per algorithm and `likely_same` (pHash distance at most bits / 6). A near-duplicate check, not proof that two images are or are not the same. With a second image the request body may be up to twice the single-image cap. Reads PNG, JPEG, WebP, GIF, TIFF, BMP, ICO and AVIF; other formats and images over 40 megapixels are refused (not charged). Images are never logged or stored. Typically 0.5-2 s. Price: USD 0.002. Free: 3 imagepeek calls per IP per UTC day. Docs: https://tanod.dev/learn/image-perceptual-hash-api.html

  ConnectorNo auth

• generate_imageA

  Galatic.aiA

  Generate images from a prompt. model is required by the server (400 without it): a model id from list_models, such as "flux-pro"; video models are refused. count makes 1-4 images and is charged per image. imageUrls is used only by image-to-image models, which require it; text-to-image models ignore it. Most models run in the background and return the id as job_id; a few answer at once with { images } already saved to the library. With count above 1, the status poll reports complete after the first image; find the rest with list_gallery. Spends Galatic.AI credits. Returns a job id; poll get_job_status with kind "image".

  ConnectorOAuth

• list_episodesA

  Galatic.aiA

  List every episode of one series, sorted by season, chapter, then order, all in one response. Returns { episodes }, each the full episode record (episodeId, title, status "draft", "generating", "ready", "published" or "failed", scenes and script, contentUrl once rendered). Use get_episode for one episode and save_episode to add one. Read-only; a series the caller does not own is a 404. seriesId is the flowId of the Flow Studio flow that holds the series (from list_flows).

  ConnectorOAuth

• create_character_referenceA

  Galatic.aiA

  Generate one reference-image candidate for a character in a series and return { name, outfit, referenceUri, previewUrl } when it is ready (it waits; no job to poll). The candidate is not saved on the character: to keep it, set that character's referenceImageUri with save_flow. name must match a character in the series that has a visual description. Spends Galatic.AI credits for one image (402 when the budget is short). seriesId is the flowId of the Flow Studio flow that holds the series (from list_flows).

  ConnectorOAuth

• edit_imageA

  HiAPIA

  Edit or transform existing images. Default model: gpt-image-2.5-sunburst/image-to-image (1-16 source images via image_urls). Any live image model that publishes a reference-image field also works (for example nano-banana-2, nano-banana-pro or flux-2-klein-4b/image-to-image); the source images are mapped onto that model's published field. Asynchronous: it only submits the task and returns a task_id immediately, never the result. Do not call this tool again for the same request, even after a client timeout: every call creates a new billable task. Call get_task_status with that task_id to fetch the result.

  ConnectorAPI key

• generateA

  designforyouA

  Generate one or more finished images from a template (get a template_id from recommend_template or browse_templates) plus a description. Use this after the user has selected or explicitly supplied a template_id; otherwise call `recommend_template` first so the visual gallery can collect the selection. Works for all categories (Instagram, logo, app-store, Visual Novel backgrounds/sprites, CG illustrations). Pass variants for multi-image output (expressions, time-of-day, etc.). Pass session_id to refine a prior result. Pass context_ids to ground a new image on prior designs (character consistency for VN CG scenes). Set model to 'minimax-h3-image-balanced' or 'minimax-h3-image-quality' (or use the 'h3 balanced'/'h3 quality' aliases) to render through the MiniMax H3 image service; context_ids are forwarded as ordered H3 reference images.

  ConnectorNo auth

• compress_imagesA

  IminifyA

  Compress, convert or resize images. Send public image addresses in urls, uploads made with create_upload_link in upload_ids, or small files inline as base64 in files. Each image counts one against the account's daily images and compressions a minute, the same as on the website. Images are queued and compress in the background, usually in a few seconds: call get_image with each id until its status is completed, already-optimized, failed or cancelled, then download it from its download_url. Each image also gets an AI alt text and a suggested file name unless alt_text is false; they arrive in alt_text a few seconds after the image is completed or already-optimized. One call takes up to 20 images across urls, upload_ids and files; send the rest in another.

  ConnectorOAuth

• delete_image_sourceA

  Cycle MCPA

  PERMANENTLY delete an image source together with every image built from it, or — when image_ids are given — only those images while keeping the source. IRREVERSIBLE. An image a container is currently running on cannot be deleted; the preview lists such containers as a blocker. Stack builds do not use image sources, so this tool never touches a stack's images — use delete_stack for those. Two-step, nothing is deleted on the first call: 1. Call without confirm. The response inventories the source, the images that would go, and any containers on them. Present it to the user verbatim. 2. Only after the user explicitly approves that specific deletion, call again with confirm:true, the exact 24-char hex source ID from step 1, and the same image_ids (if any).

  Connector

  Destructive

  API key

• vectorizeA

  ShapesodaA

  Use this when the user wants to convert a raster image (logo, icon, illustration, scan, screenshot; PNG, JPEG, WebP, BMP, GIF, TIFF) into a vector: SVG, PDF, EPS, DXF or a re-rendered PNG. Pass the image in exactly one way: image (a file attached to the chat message, ChatGPT), upload_id (from create_upload) or image_base64 (≤2 MB, only exact file bytes you already have as text). If none of these is available, for example an image attached in Claude.ai, call open_editor instead. Returns a download link per format, valid 24 hours (or retention_days), and the SVG inline when small. Uses 1 credit for all formats; mode=test is free and watermarked; mode=preview is a free PNG up to 1 MP whose link buys the vectors later (format=svg, 1 credit). Do not use for generating new images, editing photos or upscaling.

  ConnectorNo auth

• search_assetsA

  Kalpana BatchA

  Finds images to put into template image inputs: the ready PNG, JPEG and WebP files under 5 MB in the workspace, one page at a time, each with a previewUrl. With no filters it lists the most recently updated images and also names every image collection (named groups of images) with its ID and image count. `collection` keeps one collection's images, given by its name (ignoring case) or ID: when the user says where their images are ("the Diwali photos"), pass that name. `query` matches file names, and both combine. A collection name that matches none is refused with the workspace's collection names. Each image comes with its pixel width and height when known. An asset's id is what an image input takes in batch rows. inspect_image shows a previewUrl, and upload_images adds the user's own files. Needs assets:read.

  ConnectorOAuth

• generate_imageA

  VerseInA

  Generate 1–12 images (text-to-image, or edit/combine images passed as VerseIn media URLs). Spends the user's coins: call estimate_cost first and tell the user the price. Calls above the confirmation threshold return needs_confirmation with a confirmation_token; ask the user, then call again with it. Returns task ids; follow them with get_tasks. Never use it to swap faces or to put a real person's face or identity onto someone else; such requests are refused. Generating through an AI assistant is charged in VerseIn coins. Unlimited-plan allowances do not apply here.

  Connector

  Destructive

  OAuth

• generate_imageA

  HiAPIA

  Generate an image using HiAPI through the unified async task API (POST /v1/tasks). Default model: gpt-image-2.5-sunburst/text-to-image without reference images, gpt-image-2.5-sunburst/image-to-image when reference images are passed. Other image-to-image models (gpt-image-2/image-to-image, nano-banana-2, nano-banana-pro) also accept reference images. For any unfamiliar model, call get_model_schema first; top-level reference images are mapped onto its published fields automatically, and you can always pass model-specific fields inside params. Asynchronous: it only submits the task and returns a task_id immediately, never the result. Do not call this tool again for the same request, even after a client timeout: every call creates a new billable task. Call get_task_status with that task_id to fetch the image.

  ConnectorAPI key

• createImageA

  Ludo AI Game AssetsA

  Generate game-art images from a text prompt alone, selecting an image_type (e.g. sprite) and optionally art_style, perspective, and aspect_ratio. The job result is an array of image results, each with a url; request n (1-8) to control how many variations come back. Because it generates purely from text it takes no source image, so there is no upload size limit to trip. Credits are held when the job is accepted and refunded if it fails or is cancelled; the charge scales with the number of images produced. Use createImage to make new images from scratch; use generateWithStyle to match a reference image's art style, editImage to modify an existing image, and removeBackground to cut out a subject. Pass an optional request_id to tag the results so you can retrieve them later via listGenerations (type image). Async generation job: returns `{id, status}` - poll `getApiJob` (job and credit contract: see the server instructions). Credits: This endpoint consumes 0.5 credits per result.

  ConnectorNo auth

• image-generation.editA

  Vee3A

  Edit an existing image or compose several images into one scene with Muse Image. The user or agent passes stored file names from files.list_uploaded_files and/or public http or https image URLs. One image is an edit; several images are composed into one result. The result is saved to account file storage. The response includes a signed URL for API users and download_code for agents to run `vee3-get-file`. Cost = 50 tokens per generated image.

  ConnectorNo auth

• generate_textureA

  3D TexelA

  One AI image from a text prompt (optionally from a reference image): sprites, flipbooks, emissive or UI textures, concept images. No PBR maps: use pbr-material for tileable materials. Asynchronous: returns a generation id; poll get_generation. Spends credits (refunded automatically on failure). Typical time: 60 s.

  ConnectorNo auth