"Using OpenAI to Generate Images" matching MCP tools:

• delete_product

  Partle

  Permanently delete a product listing and all its images. Destructive. Authenticated. OAuth (scope `products:write`) preferred; `api_key` fallback. Use only when the user explicitly asks to remove a listing they own. Cannot be undone — there is no soft-delete or trash bin. Idempotent: deleting a product that no longer exists returns an error, not duplicate side effects. Caller must own the product. Args: product_id: ID of the product to delete. Get from `get_my_products`. 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}`` on success, or ``{"error": ...}`` on auth/ownership failure.

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• delete_product_image

  Partle

  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.

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• createImage

  Ludo AI Game Assets

  Generate game-art images from a text prompt alone, selecting an image_type (e.g. sprite) and optionally art_style, perspective, and aspect_ratio. Synchronous: the call blocks until generation finishes and returns 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 getImageResults. Requires an API key (user scope). Credits: This endpoint consumes 0.5 credits per result.

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• delete_product

  Partle Marketplac

  Permanently delete a product listing and all its images. Destructive. Authenticated. OAuth (scope `products:write`) preferred; `api_key` fallback. Use only when the user explicitly asks to remove a listing they own. Cannot be undone — there is no soft-delete or trash bin. Idempotent: deleting a product that no longer exists returns an error, not duplicate side effects. Caller must own the product. Args: product_id: ID of the product to delete. Get from `get_my_products`. 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}`` on success, or ``{"error": ...}`` on auth/ownership failure.

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• delete_product_image

  Partle Marketplac

  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.

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• upload_file

  BorealHost

  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

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• propose_montage

  Uwear

  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.

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• update_listing_images

  Teppek

  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).

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• editImage

  Ludo AI Game Assets

  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. Synchronous: the call blocks and returns 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 getImageResults. Requires an API key (user scope). Credits: This endpoint consumes 0.5 credits per result.

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• generateWithStyle

  Ludo AI Game Assets

  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). Synchronous: the call blocks and returns 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 getImageResults. Requires an API key (user scope). Credits: This endpoint consumes 0.5 credits per result.

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• hires_upload_candidate_file

  100Hires - AI ATS & Recruitment Software

  Upload a file for a candidate using a base64 payload. Used for portfolio uploads and document attachment. WARNING: host function-call serializers (both OpenAI and Anthropic) truncate tool arguments above ~20KB, so binary files larger than that will arrive corrupted. For resumes specifically, prefer hires_create_candidate / hires_update_candidate with resume_text — the model parses the file from chat context and passes extracted text, avoiding the size limit entirely.

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• get_pricing

  Gonka Second Opinion (multi-model)

  Get live Gonka Network pricing — cheap alternative to OpenAI and Anthropic APIs. Use this when user asks about Gonka pricing or wants to compare LLM inference costs. Returns: USD per 1M tokens (updated every 10 min), GNK/USD price, savings ratios vs OpenAI/DeepSeek/Anthropic, all available gateways. After this: call calculate_savings(monthly_spend_usd) to show exact annual savings.

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• transcribe_audio

  Toolora

  Use this tool whenever the user shares an audio file and wants it transcribed to text. Triggers: 'transcribe this recording', 'convert this audio to text', 'what was said in this meeting', 'transcribe this voice note', 'turn this podcast into text'. Accepts base64-encoded audio (mp3, wav, m4a, ogg, flac, webm, mp4, etc.), max 25MB. Returns the full transcript, word count, and character count. Powered by OpenAI Whisper. Free 200 calls/day — no OpenAI API key required; Toolora absorbs the cost.

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• tf_service_status

  terminalfeed

  Fetches operational status of major dev infrastructure (GitHub, Cloudflare, Discord, OpenAI, Vercel, npm, Reddit, Atlassian, Anthropic). Cache TTL 60s. Use when the agent needs to know if a dependency is up or to explain a recent outage.

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• editVideo

  Ludo AI Game Assets

  Edit a previously generated video with a text prompt and optional reference images (video-to-video). Pass the video `url` you received from `createVideo`, `createVideoFromReferences`, or an earlier edit — it must be a video you generated within the last 7 days; arbitrary external videos are not accepted. Optionally add up to 5 reference `images` (URL or base64) to guide the edit. Synchronous: the call blocks until rendering finishes and returns the new video URL and its actual duration in seconds. 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 `getVideoResults`. Related tools: `createVideo` to generate the source clip, `createVideoFromReferences` for reference-driven generation. Requires an API key (user scope). Credits: cost varies by model and duration (credits/sec): Eagle 2/s; see this endpoint's full pricing table in the API docs.

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• pictify_create_image

  mcp

  Generate a static image (PNG, JPEG, or WebP) from HTML/CSS content, a URL screenshot, or a template. Common use cases: Open Graph (OG) images for link previews, social media cards (Twitter/LinkedIn/Facebook), product screenshots, marketing banners, event invitations, and custom graphics. Provide ONE of: 'html' (custom HTML/CSS), 'url' (screenshot a webpage), or 'template' + 'variables' (render a saved template). Returns the hosted image URL (CDN-backed) and asset ID. Maximum dimensions: 4000x4000 pixels. IMPORTANT: The renderer captures the element's actual rendered size, not the viewport. If your HTML content is shorter than the requested height, the output image will be clipped to the content height. To ensure exact dimensions, set explicit width and height on your root element (e.g., a wrapper div) using CSS like: position: absolute; top: 0; left: 0; width: 1920px; height: 1080px; — this guarantees the element fills the full requested area.

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• clipform_search_media

  Clipform

  Search images or stock video clips. Pass one query or many (max 10) - multiple queries run in one call instead of separate tool calls. Use results to feed into clipform_generate_video for narrated slideshow videos, or upload directly as still images via clipform_upload_media_asset then clipform_attach_node_media. All results are pre-cleared for commercial use. Results include a description (alt text where the provider has it) - use it to pick visually distinct images. Example: { queries: [{ query: "saturn rings" }, { query: "mars surface", count: 3 }] } returns portrait images for both.

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• create_inference

  Retro Diffusion Pixel Art MCP

  Generate images using the public /v1/inferences endpoint. For the highest quality prefer RD Pro styles (rd_pro__*); they support reference_images for character/style consistency. For animation styles prefer start_inference_job + get_inference_job instead — animations are long-running. Use `input_image` for the main source image, `reference_images` for extra per-inference guidance, and `style_reference_images` only on create_user_style/update_user_style. The response excludes raw base64 image payloads to keep MCP outputs compact.

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• generate_video

  freedom-mcp

  Generate a video clip using AI (xAI Imagine, 3 credits). Supports text-to-video, image-to-video, MULTI-IMAGE video (up to 7 images combined), and video editing with native audio (voiceover, sound effects, music). Best for quick drafts, social clips, iterations, and audio-first content. For cinematic final deliverables, use generate_video_veo instead. [sensitive-tier, initiates a multi-step agent process — first use may require a manager's approval; a from-now-on approval makes future calls seamless, a just-once approval re-asks next time.]

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• search_journalism

  CamFeed Journalism Archive

  Use this for advanced searches of Cameron Wilson's public archive when source, content type, date filters, transcript matching, or matched snippets are needed. Query is optional; pass only filters to enumerate. Prefer search and fetch for OpenAI knowledge retrieval.

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