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754,283 tools. Updated 2026-11-07 03:02

"Tools and services for generating images" matching MCP tools:

  • Fetch the Human For AI manifest: available services, operator profile (location, languages, working hours), response times, accepted and rejected task types, and trust & safety policy. Call this first to decide whether and how to hire the human. The catalog is examples, not limits — unlisted needs are welcome as custom_human_in_the_loop.
    ConnectorNo auth
  • 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
    ConnectorNo auth
  • Check the build status of an EXISTING artifact (from artifact-create). Read-only. Generation is asynchronous, so this is how you find out it finished. Call it with { sessionId, wait: true } and it WAITS for you: the call returns as soon as status is 'ready' or 'failed', or after about 45 seconds still 'generating'. Then, you can call it again. This tool is meant to be called right after artifact-create, before replying to the user, and keep getting called until status is no longer 'generating'. ONLY when you want an instant snapshot, this tool can be called without wait (or false); the idea is to never spin on wait: false. Requires sessionId — the id returned by artifact-create (or the last path segment of an artifact URL like https://app.agentgrid.io/artifacts/<sessionId> or https://dev.animaapp.com/chat/<sessionId>). **Returns:** { success, sessionId, status: 'generating' | 'ready' | 'failed', progress (0–100, while generating), name, artifactUrl (generating/ready only), playgroundUrl (app and knowledge artifacts only, generating/ready only), previewUrl (app, knowledge and markdown artifacts only, generating/ready only), error (when failed), nextStep (when a wait returned still generating) }
    ConnectorOAuth
  • List the invoices this company issued, newest first. One document type at a time: pass nfse for services or nfe for goods. A company that issues both has to be asked twice. Use it for "my last invoices", "what was rejected today", and to find a document whose access key the user does not have at hand. Read-only. An authorized document is stored as issued, which is the value the rows carry; authorized is accepted as a synonym and asks for the same thing. Every row carries both identifiers the other tools need: id, which reissue_invoice takes, and access_key, which consult_invoice, cancel_invoice and get_invoice_pdf take. A rejected row has an id and no access key — the authorizer never assigned one.
    ConnectorNo auth
  • Check whether still images of a project show the SAME character as its character sheet — before paid clips are made from them. Each image is compared against the sheet's detail and fullbody views. It judges identity (species, build, colouring, head shape, large markings), NOT style, light, pose, place or props — and deliberately NOT micro details like an ear notch or the number of fingers, which no image model holds reliably. Free. Runs in the BACKGROUND: returns a `job_id` with HTTP 202 — poll it with lab_get_job until status is done|failed; the result lists per image passt, sicherheit, abweichungen, begruendung (or error). Up to 16 images and frames together per call. Images must be completed images of this project (imported images are refused). To check frames of a GENERATED CLIP (an orbit turnaround, a lab_animate clip) pass clip_frames: the clip's video_id and the seconds to cut out — the frames are taken from the clip itself and compared the same way; a second beyond the clip's end fails only that frame. The sheet needs a reference image (lab_generate_character_reference).
    ConnectorOAuth
  • Add and/or remove photos on one of the USER'S OWN existing listings (max 6 total). First call request_image_upload for each new image and upload the bytes, then pass the returned keys in `add`; a key with no uploaded file fails with image_not_uploaded. Adding any image re-triggers AI moderation — the listing returns to 'pending' until the new images are cleared. Removing images leaves a live listing live; on a pending or rejected listing it requests a new moderation verdict. Free (no credit).
    ConnectorNo auth

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  • Generate images with the catalogue's image model, returned inline; image price plus $0.01 a call.

  • Google Images results in bulk: image URLs, sizes, thumbnails, and source pages, via hosted MCP.

  • 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
    ConnectorNo auth
  • Log out of ALL connected data sources at once. Deletes all stored OAuth tokens for the current user and returns re-authentication links for each disconnected connector. Use this to fully reset your session or switch accounts across all services.
    Connector
    Destructive
    No auth
  • Generate an empty background plate for one short shot. Both reference inputs steer what the plate itself looks like — layout, prop identity, materials and lighting — and are unrelated to upload_shot_continuity_reference, which guides clip generation instead. Use reference_image_asset_ids for images already in this project (find them with get_asset_library) and reference_images_base64 to send bytes you produced locally, for example a frame lifted from an earlier scene so a prop matches what is already on screen. Uploaded bytes are used for this one generation and are not kept as project assets. The location's own reference images are always included on top of both. Spends credits. Returns a job id — poll it with get_job.
    ConnectorNo auth
  • Start generating hero image variants for an idea's ad. Runs in the background. Args: - ideaId (string) - prompt (string, optional): defaults to the idea's saved image prompt Returns: { job: { id, status, prompt, variantCount, results }, note }. Poll idealaunch_get_image_job until status is 'succeeded', then choose one with idealaunch_apply_hero_image. Consumes one of the idea's AI generation turns. Costs no Ad Run credit.
    ConnectorOAuth
  • Create a complete Google Ads Performance Max campaign in ONE atomic request: budget, campaign (ALWAYS created PAUSED — activate later with adsap_google_set_entity_status), location/language targeting, and one asset group with text assets plus images previously created via adsap_google_upload_asset. Use dry_run: true first — Google validates the whole chain without creating anything; show the plan, get confirmation, then execute. Asset-group minimums (enforced): 3-15 headlines (<=30 chars), 1-5 long headlines (<=90), 2-5 descriptions (<=90, at least one <=60), business name (<=25), 1-5 logo images (1:1, min 128x128), 1-20 landscape images (1.91:1, min 600x314), 1-20 square images (1:1, min 300x300). Video is optional — without one, Google may auto-generate video from your assets. bidding_strategy 'auto' resolves to maximize_conversions with a conversion-tracking preflight warning when the account has no conversion actions. retail: true attaches the account's ACTIVE Merchant Center link (fails cleanly if none). ad_account_id is the bare 10-digit customer ID. For Search campaigns use adsap_google_create_search_campaign; for Meta use adsap_create_campaign.
    ConnectorAPI key
  • 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.
    ConnectorAPI key
  • WattCoin: How to pay for WATT services: live per-service prices (WATT only), the payment wallet, the pay-per-use flow, the free scrape tier and whether the LLM service is currently available. Use before web_scrape or before paying for anything; use get_watt_token_info for market data. No auth needed; read-only and live. Returns JSON.
    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
  • One Google Shopping product: description, specs, images, rating and its offers from each store. Use when: "what specs does Google list for this product", "how is it described and rated across stores". Not for: the store list with shipping and total price, use shopping_get_sellers. Reviews, use shopping_get_reviews. Returns: Record. product_id, gid, data_docid, title, description, url, images[], rating, ratings_count, specs[] (name, value), offers[] (seller, url, price, regular_price, currency, seller_rating, seller_ratings_count, availability). Pass product_id, gid and data_docid together, from one shopping_search_products row. Cost: 1 credit. Cached 1 day. Can take up to a minute. Example: {"product_id": "13896795030841728717", "gid": "12076690216614034454", "data_docid": "10381679383724335789"}
    ConnectorAPI key
  • 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
  • Delete ONE AI package resource of a video in one language (eBook, mind map or quiz) — cannot be undone: its content, PDF, images and the published file are removed, also for legacy resources. Same as the dashboard's Remove. Refused while it is still generating (checked before deleting; if that check fails nothing is deleted). Other languages and resources stay. To remove a failed generation card use panda_delete_ai_workflow.
    Connector
    Destructive
    No auth
  • WattCoin: WATT token reference data: mint address, payment wallet, live USD and SOL price, liquidity and 24h volume. Use get_pricing instead for what WattCoin services cost. No auth needed; read-only, never trades or moves funds, and the price feed is cached for about 60 seconds. Returns JSON. Not financial advice; liquidity is thin.
    ConnectorNo auth
  • Translates natural language questions into dialect-accurate, optimized SQL SELECT queries with schema awareness and safety checks. Use when generating reporting queries or automated data analytics pipelines; for analyzing SQL execution performance and EXPLAIN plans, use analyze_query_plan instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'natural_language_request' and 'schema_ddl' ('sql_dialect' defaults to 'postgresql_dialect'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.
    ConnectorNo auth
  • Add and/or remove photos on one of the USER'S OWN existing listings (max 6 total). First call request_image_upload for each new image and upload the bytes, then pass the returned keys in `add`; a key with no uploaded file fails with image_not_uploaded. Adding any image re-triggers AI moderation — the listing returns to 'pending' until the new images are cleared. Removing images leaves a live listing live; on a pending or rejected listing it requests a new moderation verdict. Free (no credit).
    ConnectorNo auth
  • List a venue's services — what it offers, with price and duration. Pass `place_slug` (from search_places) to list the services of a specific VENUE — a salon, clinic or studio listed in this directory; that is what you want in almost every case, and it is the only form whose serviceId works with create_booking. Omitting `place_slug` lists the directory site's own services instead, which most sites do not have. Returns name, description, price, duration in minutes, and `bookableViaMcp`. Services are listed for EVERY venue, including those with no online booking system — check `bookableViaMcp`: when it is false, `id` is null and you cannot book through create_booking, so point the user at `bookingUrl` or the venue's page instead.
    ConnectorNo auth