"Tools or methods to generate images" matching MCP tools:

• get_walletA

  SOMA Brewing CompanyA

  READ-ONLY wallet summary for a SOMA app user: their SOMA Coins balance plus a summary of coins expiring within the next 30 days. Requires a wallet token that only the human can generate inside the SOMA mobile app (Wallet tab → 'Share balance with your AI') — ask them for it; tokens expire after ~10 minutes. This tool can never claim, redeem, spend, or move coins (there are deliberately no claim/redeem tools over MCP). Returns { error: 'invalid_or_expired_token' } for a bad or stale token — ask the user to generate a fresh one in the app.

  ConnectorNo auth

• propose_montageA

  UwearA

  ONLY for video montage/stitching/export workflows. Use when the user explicitly asks to create a montage, stitch clips, make a reel, export a video sequence, make video clips from images, or combine images/videos into one final video. Never use this for a photoshoot, lookbook, product shoot, collection shoot, outfit shoot, garment shoot, or image-generation request; those must use request_user_context followed by propose_brief/update_brief. Do not call this merely because selected context contains images, generations, garments, or models. A photoshoot may later feed a montage, but the photoshoot itself must be proposed as a BriefProposal first. PROPOSES the montage for user review — user can edit clips, generate missing videos, then export. Supports: existing videos with optional trim (`target_duration` or `start_time`/`end_time`), images that need video generation (specify video_model + a bespoke per-image motion prompt, and optionally `target_duration` or `duration`), per-clip speed/mute, global aspect ratio. If the user asks for clips to be e.g. '3 seconds each', set `target_duration: 3` on every item, including image items. For image items, avoid generic repeated prompts: tailor each prompt to the specific image and any requested zoom, movement, energy, or camera direction. If motion is not specified, inspect the image first with view_image and then write a fitting motion prompt from the image content before proposing. The user reviews and confirms in the UI. Export is free (0 credits); video generation clips cost credits per their model.

  ConnectorNo auth

• list_gallery_imagesA

  Orivox AI Website BuilderA

  List the images the user ALREADY has in their Orivox media gallery -- uploads made on the editor's media page or through Orivox before -- as hosted URLs ready to use DIRECTLY in <img src> or apply_dom_ops set_attr. Check here FIRST whenever the user mentions "my images", their gallery, or pictures they already uploaded, before asking them to upload or send anything. role="logo" lists the logo folder, "content" the general image folder, "all" (default) both, newest first. Each entry carries url, file_name, width/height (null when unknown), and modified_at. Returns the newest `limit` images (default 24, max 500); truncated=true with a larger total means older images exist -- re-call with a bigger limit only when the user actually needs them. Use the urls exactly as returned -- never rewrite them through the a12 grammar. Read-only; changes nothing.

  ConnectorOAuth

• check_upload_linkA

  Orivox AI Website BuilderA

  Return the EXACT images the user chose on their upload link. Pass the token_id that request_image_upload_link returned. Call this after the user says they uploaded or picked their images: it returns files[], each with a hosted url and a source ("upload", "gallery", or "shared"), so you place PRECISELY the images they selected instead of guessing from the whole gallery. An empty files list means they have not chosen anything yet -- ask them to open the link and add images, or wait and check again. Read-only; changes nothing.

  ConnectorOAuth

• 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 charged only on success, scaled to 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 `GET /assets/images/results`. Requires an API key (user scope). Returns 202 with a job id immediately; poll `getApiJob` (pass `wait: 30`) until status is succeeded, then read its `result` field, which is exactly the response documented for this operation. Each account may have up to 50 generations queued or running at once; beyond that submissions return 429 (PENDING_JOBS_LIMIT) - wait for jobs to finish. Credits: This endpoint consumes 0.5 credits per result.

  ConnectorNo auth

• generateWithStyleA

  Ludo AI Game AssetsA

  Generate new images that match the visual style of a reference image: supply a style_image (URL or base64) plus a text prompt describing what to create and an image_type (defaults to sprite). The job result is an array of image results, each with a url; request n (1-4) to control the number of variations. The style_image is uploaded and validated, and an image larger than 15MB is rejected with HTTP 400. Credits are charged only on success, scaled to the number of images produced. Use this instead of createImage when style consistency with an existing asset matters; use editImage to alter the content of a specific image rather than borrow its style, and removeBackground to isolate a subject. Pass an optional request_id to tag the results so you can retrieve them later via `GET /assets/images/results`. Requires an API key (user scope). Returns 202 with a job id immediately; poll `getApiJob` (pass `wait: 30`) until status is succeeded, then read its `result` field, which is exactly the response documented for this operation. Each account may have up to 50 generations queued or running at once; beyond that submissions return 429 (PENDING_JOBS_LIMIT) - wait for jobs to finish. Credits: This endpoint consumes 0.5 credits per result.

  ConnectorNo auth

• editImageA

  Ludo AI Game AssetsA

  Modify an existing image according to text instructions: supply a source image (URL or base64) and a prompt describing the changes (e.g. "add clouds", "warmer color scheme"), with an optional reference_image for extra style or content guidance. The job result is an array of image results, each with a url; request n (1-4) to control the number of edited variations. Provided images are uploaded and validated, and any image larger than 15MB is rejected with HTTP 400. Credits are charged only on success, scaled to the number of images produced. Use editImage to transform a specific existing image; use createImage to generate from text alone, generateWithStyle to borrow a reference's art style, and removeBackground for the dedicated background-removal case. Pass an optional request_id to tag the results so you can retrieve them later via `GET /assets/images/results`. Requires an API key (user scope). Returns 202 with a job id immediately; poll `getApiJob` (pass `wait: 30`) until status is succeeded, then read its `result` field, which is exactly the response documented for this operation. Each account may have up to 50 generations queued or running at once; beyond that submissions return 429 (PENDING_JOBS_LIMIT) - wait for jobs to finish. Credits: This endpoint consumes 0.5 credits per result.

  ConnectorNo auth

• createVideoFromReferencesA

  Ludo AI Game AssetsA

  Generate a video from 1-5 reference images and a text prompt (references-to-video). Unlike createVideo, which animates a single source image, this composes a new scene that borrows characters, objects, and style from the reference images. Each image can be a URL or base64. The job result is the video URL and its actual duration in seconds. Choose the output shape with `aspect_ratio` ("default" lets the model decide). The chosen `model` and `duration` must be compatible (incompatible combinations return HTTP 400). 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 `GET /assets/videos/results`. Related tools: `createVideo` for image-to-video, `editVideo` to modify a generated video. Requires an API key (user scope). Returns 202 with a job id immediately; poll `getApiJob` (pass `wait: 30`) until status is succeeded, then read its `result` field, which is exactly the response documented for this operation. Each account may have up to 50 generations queued or running at once; beyond that submissions return 429 (PENDING_JOBS_LIMIT) - wait for jobs to finish. Credits: cost varies by model and duration (credits/sec): Eagle 1.5/s, Eagle with Audio 2/s; see this endpoint's full pricing table in the API docs.

  ConnectorNo auth

• scaffold_serviceA

  @imqueueA

  READ-ONLY: returns generated source code as text and writes nothing to disk, creates no project and runs no command. Generates an idiomatic @imqueue/rpc service (an IMQService subclass with @expose()d, JSDoc-typed methods) plus a bootstrap that starts it. Provide the methods you want, or omit them for a starter template. Any non-primitive parameter or return type also gets a types.ts with the required @classType()/@property() declarations — without those the generated client types it `any`, which compiles. Use create_service (local install only) if you want files actually written.

  ConnectorNo auth

• generate_shot_background_imageA

  Squall StudioA

  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

• generate_imageA

  KleapA

  Put a REAL photo or illustration on the site by describing it — no image bytes to send. Give a vivid `prompt` and a `public/` `path` (e.g. public/hero.jpg); Kleap generates it with Cloudflare FLUX.2 and stores it as a proper binary asset, exactly like write_files with encoding:"base64" but with NO base64 to transmit (a real image's base64 is too big for a model to emit reliably — this is the ONLY dependable way to add a generated picture). Use it for hero photos, section illustrations, onboarding images, OG images, or to replace a broken/ugly image. Square 768×768 by default; pass width/height (256–1440) for other ratios; hd:true uses the premium model (sharper, slower). ⚠️ To REPLACE an existing image, generate to a NEW filename (e.g. hero-2.jpg) and point the markup at it — overwriting the same path can be served stale from CDN/R2 cache. After it returns, call publish_app to deploy it live.

  Connector

  Destructive

  OAuth

• generate_imageA

  KleapA

  Put a REAL photo or illustration on the site by describing it — no image bytes to send. Give a vivid `prompt` and a `public/` `path` (e.g. public/hero.jpg); Kleap generates it with Cloudflare FLUX.2 and stores it as a proper binary asset, exactly like write_files with encoding:"base64" but with NO base64 to transmit (a real image's base64 is too big for a model to emit reliably — this is the ONLY dependable way to add a generated picture). Use it for hero photos, section illustrations, onboarding images, OG images, or to replace a broken/ugly image. Square 768×768 by default; pass width/height (256–1440) for other ratios; hd:true uses the premium model (sharper, slower). ⚠️ To REPLACE an existing image, generate to a NEW filename (e.g. hero-2.jpg) and point the markup at it — overwriting the same path can be served stale from CDN/R2 cache. After it returns, call publish_app to deploy it live.

  Connector

  Destructive

  No auth

• 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

• render_chartA

  Charts by SzumA

  Use this when the user wants to preview or generate a chart. Validate each generated or changed config once before rendering, saving, or updating. Do not revalidate unchanged input; a successful render preflights it for later saves or updates. Errors block; warnings require explicit user approval for the exact config. Suggestions do not block. Replace the complete config with suggestedConfig and revalidate before repair. Stores a 1 hour preview and returns public image URLs. Authenticated previews use the account's render allowance, and each image produced from a returned URL is another render. Anonymous previews are complimentary; their images use the anonymous image allowance.

  ConnectorNo auth

• render_chartA

  szumA

  Use this when the user wants to preview or generate a chart. Validate each generated or changed config once before rendering, saving, or updating. Do not revalidate unchanged input; a successful render preflights it for later saves or updates. Errors block; warnings require explicit user approval for the exact config. Suggestions do not block. Replace the complete config with suggestedConfig and revalidate before repair. Stores a 1 hour preview and returns public image URLs. Authenticated previews use the account's render allowance, and each image produced from a returned URL is another render. Anonymous previews are complimentary; their images use the anonymous image allowance.

  ConnectorNo auth

• upload_image_creativeA

  Metadata MCP ConnectorA

  Upload images directly to Metadata platform library to create image creatives. Downloads images from provided URLs and uploads them to the platform. REQUIRED STEP IN AD CREATION WORKFLOW: This tool MUST be called between generate_brand_creative and create_update_image_ad. **WORKFLOW INTEGRATION:** This tool is part of the ad creation workflow and should be used: 1. BEFORE creating ads with create_update_image_ad (which requires imageLibraryId/creativeID) 2. IN COMBINATION with generate_brand_creative to create AI-generated images first, then upload them 3. When you need to upload existing images from external sources **COMMON WORKFLOWS:** - Upload existing images → Get imageLibraryId → Use in create_update_image_ad - Generate image with generate_brand_creative → Download generated image → Upload with this tool → Use in create_update_image_ad - Batch upload multiple creative assets for campaign preparation **IMPORTANT:** The returned image ID (imageLibraryId/creativeID) is REQUIRED when creating ads. Every ad needs a creative asset, so you must upload images first before calling create_update_image_ad. REQUIRED PARAMETERS: - images: Array of image URLs to upload IMAGE REQUIREMENTS: - URLs must be valid and publicly accessible - Supported formats: PNG, JPG, JPEG, GIF, WebP, and others - Images will be downloaded and then uploaded to platform - Filenames with spaces will have spaces replaced with underscores EXAMPLES: Single Image: upload_image([ "https://my-bucket.s3.amazonaws.com/images/sample-image.png" ]) Multiple Images: upload_image([ "https://my-bucket.s3.amazonaws.com/images/logo.png", "https://example-assets.s3.us-west-2.amazonaws.com/photos/banner.jpg", "https://content-bucket.s3.eu-west-1.amazonaws.com/uploads/hero image.webp" ]) RESPONSE FORMAT: Returns array of objects for each image: [ { "url": "https://original-url.com/image.png", "name": "image.png", "id": 12345, "success": true }, { "url": "https://failed-url.com/bad.png", "name": "bad.png", "id": null, "success": false, "error": "Download failed: Connection timeout" } ] ERROR HANDLING: - If one upload fails, others will continue - Each result includes success status - Failed uploads include error message - Successful uploads include platform image ID USE CASES: - Upload creative assets before creating ads - Import images from external sources - Batch upload multiple campaign images - Migrate images from other platforms

  ConnectorAPI key

• list_imagesA

  GoodeyeA

  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}``.

  ConnectorOAuth

• get_term_infoA

  VirtualFlyBrainA

  Get term info for a VFB or anatomy ontology entity (VFB_*, FBbt_*, etc.). THIS IS THE QUERY DISCOVERY TOOL: the response's "Queries" array lists the valid query_type values that run_query accepts for this entity. ALWAYS call get_term_info before run_query unless you already obtained the query_type from a previous get_term_info call in this conversation. Returns: SuperTypes (classification), Tags (data flags like has_image, has_neuron_connectivity), Queries (valid query_types for run_query), RelatedTools (other MCP tools applicable to this entity, with default_args ready to copy — e.g. get_hierarchy with subclass_of for cell types or part_of for nervous-system regions), Images (keyed by template brain ID), Publications, Synonyms. Supports batch — pass an array of IDs to fetch in parallel; batch results are returned as a JSON object keyed by ID. To build VFB browser URLs from the Images field: https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?id=<VFB_ID>&i=<TEMPLATE_ID>,<IMAGE_ID1>,<IMAGE_ID2> — id= sets the focus term and i= lists images for the 3D viewer (template ID must be first in i= to set the coordinate space).

  ConnectorNo auth

• update_listing_imagesA

  TeppekA

  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`. Adding any image re-triggers AI moderation — the listing returns to 'pending' until the new images are cleared; removing images does not. Free (no credit).

  ConnectorNo auth

• t54_list_operationsA

  Agentic Swarm Marketplace (T54 x402 MCP)B

  Returns operationIds, HTTP methods, paths, and query parameter names from the bundled OpenAPI spec (no network). Use before t54_x402_request or per-SKU tools.

  ConnectorNo auth

• pictify_batch_renderA

  mcpA

  Start a batch render job to generate multiple images from a single template — from inline variable sets, or from a hosted CSV where every row becomes a render. REQUIRED: exactly one of variableSets (inline rows) or csvUrl (+ mappings). A call with neither is rejected. Each variable set produces a separate image. Supports up to 100 items per batch (plan-dependent). Common use cases: generating personalized social cards for all team members, product images for an entire catalog, event badges for all attendees, certificate images for course graduates, or marketing assets with localized content. WORKFLOW: 1) Use pictify_get_template_variables to discover variables, 2) Call this tool with an array of variable sets, 3) Use pictify_get_batch_results to poll for completion and get result URLs. The job runs asynchronously — this tool returns immediately with a batchId (HTTP 202). For generating a single multi-page PDF instead, use pictify_render_multi_page_pdf.

  ConnectorNo auth