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735,250 tools. Updated 2026-11-02 11:05

"A tool for converting multiple image types to web standards and compressing images" matching MCP tools:

  • Finds the free ImgVX AI browser tool for an image task the user describes, such as removing a background, upscaling, erasing an object, enhancing or colorizing a photo, compressing to a file size, resizing, cropping or converting HEIC, PNG, JPG, WebP or PDF. Returns matching tools with what each does and a link to open it; every tool is free with no sign-up. This tool does not edit images itself: the user opens the link and edits the image in their own browser.
    ConnectorNo auth
  • 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
  • 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
  • Adds, replaces, or removes hosted images on an existing Carryo website without replacing its HTML. Reusing a path replaces that image without consuming another image slot; new paths are subject to the website image allowance. Returns hosted-image metadata and URLs. New paths appear in the page when referenced by its HTML. Pass attached images through imageFiles. For one attachment, assets needs only its relative website path; Carryo matches the attachment automatically. For multiple attachments, use fileIndex (0 for the first imageFiles entry). Do not invent file IDs or ask for a public URL when attachment upload is available. Known fileId references and fetchable HTTP(S) sourceUrl imports also work. Carryo imports and hosts its own copy. Base64 image bytes and data URLs are unsupported.
    Connector
    Destructive
    No auth
  • Adds, replaces, or removes hosted images on an existing Carryo website without replacing its HTML. Reusing a path replaces that image without consuming another image slot; new paths are subject to the website image allowance. Returns hosted-image metadata and URLs. New paths appear in the page when referenced by its HTML. Pass attached images through imageFiles. For one attachment, assets needs only its relative website path; Carryo matches the attachment automatically. For multiple attachments, use fileIndex (0 for the first imageFiles entry). Do not invent file IDs or ask for a public URL when attachment upload is available. Known fileId references and fetchable HTTP(S) sourceUrl imports also work. Carryo imports and hosts its own copy. Base64 image bytes and data URLs are unsupported.
    Connector
    Destructive
    No auth
  • The account's images, newest first: uploads, images found by page scans, and re-runs. Filter by status, by source (upload or scan) or by one scan's id, which is how a page scan's images are read once get_scan says they are done. An image with responsive sizes carries only their status here; get_image has their links. Pages of up to 50; ask for the next page while page is below last_page. For one image whose id you already have, call get_image instead.
    ConnectorOAuth

Matching MCP Servers

  • A
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    Enables lightweight web search discovery and on-demand extraction of cleaned page text from supplied URLs, returning snippets, headings, links, and saved full text for longer pages.
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    BSD 3-Clause

Matching MCP Connectors

  • Convert JSON samples into TypeScript interfaces and Zod schemas, with inference caveats.

  • Convert PNG, JPG and WebP images to SVG vector paths. Runs on Apify, $0.01 per image.

  • Generate images from text prompts. Returns a hosted URL of the image and the same image as base64 (b64_json), with its content_type (image/png or image/jpeg, as the bytes are), the aspect ratio and the size used. Use to create a new picture from a description. To cut the background out of an existing image use bg-remove; to capture a web page use screenshot. Cost: 512px 1 credit, 1K 2 credits, 2K 3 credits, 4K 5 credits, charged only when a call succeeds.
    ConnectorNo auth
  • 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
  • Store a base64-encoded image on this tenant's own CDN and return the hosted URL. Use this when the user supplies an image directly (a logo, product photo, or screenshot) and you need a URL for it before composing campaign or template HTML - put the returned url in your <img src="...">. To re-host an image that is already on the public web, use mcp_crm_assets_image_import instead - do NOT download it yourself and re-encode it here. Accepted formats: gif, jpeg, jpg, png, webp, determined by the fileName extension. SVG is deliberately not accepted. base64Data may be raw base64 or a data: URI; oversized images are rejected rather than downscaled. Optionally pass entityType ('campaign', 'template', or 'form') and entityId to file the image alongside the entity it belongs to. Tenant is bound to the session and cannot be set via tool arguments.
    ConnectorOAuth
  • 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
  • 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
  • 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
  • Append images to a character's saved reference gallery. Inputs can be HTTPS URLs or base64 data URLs; saved entries become fetchable HTTPS URLs and candidates for auto-img2img attach (the LATEST image added is the one `antix_generate_image` will use as the reference when called with this characterId and no explicit `referenceImage`). The added images are immediately visible in the AIGE web PromptBar's 'Upload' dialog for this character. **Inputs:** • `characterId` — the character to add to. Get from antix_list_characters. • `images: string[]` — HTTPS URLs OR base64 data URLs (1-20 per call). Data URLs are normalized and uploaded to AIGE Storage before being saved, so the gallery always stores fetchable HTTPS URLs. If the current Claude client cannot forward chat-attached image bytes, ask the user to upload at https://aige.ws/r and paste the short URL. **This is the recommended bridge from chat-attached images to img2img workflow:** 1. User attaches image to chat or has a URL. 2. If the client exposes bytes, pass the data URL directly; otherwise ask the user to upload at https://aige.ws/r (URL auto-copies on success). 3. Call this tool with the URL(s) and the user's character id. 4. Every subsequent antix_generate_image with that characterId auto-uses the latest gallery image as the img2img reference — no need to re-forward bytes per generation. **Returns:** `characterId`, `characterName`, `addedImages` (URLs accepted), `rejected` (URLs that failed validation, if any), `totalImages` (new gallery size), `characterPageUrl`.
    ConnectorAPI key
  • 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
  • Images in this workspace (photos, logos, product shots), newest first, or those whose file name contains `search` or that are in a `collection`, with a numbered preview sheet to see them. Without filters the reply also names the workspace's collections: when the user says where their images are ("the Diwali photos"), look in that collection. Each image comes with its `image` key, the key a design places it by, its `asset_id`, the id the same image has in batch rows, and its name and pixel size; a cut-out (transparent margins) also gets `visible_box` [x, y, w, h], where its subject sits in image px, to place and crop it by. The preview sheet is one numbered picture of the results; image bytes are not returned. Read-only. Use it to find images already in the workspace; to bring in the user's own files use upload_images. Place one with create_layers `type: "image"` (or `image` in a fill) and name the layer by role ("Product photo").
    ConnectorOAuth
  • 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
  • Google Images search for AI agents at $0.010 per call, from the same Serper.dev source as /web/search. Send a query, get back compact JSON: top image results with position, title, image URL, source page link and dimensions. Tune with num (1-10 results), country and language (2-letter codes). Zero results is a valid, honest answer. Pay per call in USDC on Base, no account, no API key.
    ConnectorNo auth
  • Create an upload slot for a reference image. Returns an upload URL and a ref_ token: upload the image file with one shell command (curl -T <file> '<uploadURL>'), then pass the ref_ token to the reference-image parameter you are filling - every parameter that takes reference images names this tool in its description. This is the ONLY way to supply reference images, and those parameters accept ref_ tokens and nothing else. Image data never goes inside a tool call: a call is JSON, so an embedded image would have to be base64 text that you, the caller, must emit character by character - slow, error-prone, and enough to exhaust your context window. The upload moves the bytes out-of-band instead: a plain HTTP PUT of the raw file, so any HTTP client works; if your environment has no way to send one, install curl. And when the image you want is from one of your OWN recent Logospell generations, skip the upload entirely: pass sourceGeneration and sourceImage and the server copies it directly (to grow an existing set, use its extend tool instead: extend_image_set, extend_character_set or extend_illustration_set). Accepts PNG, JPEG, or WebP, each at most 500KB, each side between 64px and 768px - resize before uploading if needed; larger reference images do not improve results. A reference is private to your API key and can be used in any number of later calls; it expires 7 days after its last use or re-upload (each use restarts the window), so uploading a few references once can serve a whole session of work. To update a reference, upload a new file to the same upload URL: its image is replaced and its ref_ token stays the same. Costs no credits.
    ConnectorAPI key
  • 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
  • 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
  • Returns original, course-specific multiple-choice practice questions. Free-text topics are matched against Fiveable's course map, so natural phrasing works. Omit topic to get balanced practice across the whole subject, with varied units, skills and stimulus formats. For history, science and language subjects this can return source-based sets — one stimulus with several questions off it — and stimulus images come back as viewable images. This is targeted or mixed practice, distinct from Fiveable's durable adaptive diagnostic. Every question carries a `Question id` that supports a saved answer submission for student progress. The recentCorrect and recentAnswered inputs allow the tool to drop to easier question types when a student is missing questions, helping find where understanding breaks down. A returned question set consumes one full-content preview unless existing access covers this practice feature. Moderate cost — roughly 300 tokens per question, more when images are attached.
    ConnectorNo auth