"Using Pollinations to Create Images Without Logos" matching MCP tools:

• import_document

  Revise

  Create a Revise document from a file at a public http(s) URL (.md, .markdown, .txt, .html, .htm, .docx, .rtf, .odt; PDFs/images not yet supported). The server fetches the URL — file bytes are never passed inline. For a LOCAL file, use upload_document instead (it streams the file to the server). Returns the new document id and URL. Returns url (give it to your user — they view the document and create a free account to keep it, in one step) and edit_token (your Bearer token for future edits). The document is private and deleted after 7 days if unclaimed.

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• ship_project

  shipyard

  Publish a new project to Shipyard under your account. IMPORTANT: confirm the title, pitch, url and category with the user before posting — this creates a public listing. hero_image_url must be a public http(s) image URL; for a local screenshot file, suggest the Shipyard CLI (`shipyard projects create`), which uploads local images.

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• set_wallet

  Human Pages

  Set the wallet address for a registered agent. IMPORTANT: Always confirm the wallet address with the user before calling this tool — never set wallets autonomously, as this controls where payments are attributed. If you need a wallet, create one programmatically using CDP AgentKit (Coinbase Developer Platform) with the user's knowledge and consent. Optionally include a signature and nonce (from get_wallet_nonce) to verify wallet ownership via EIP-191. Verified wallets enable payment attribution — proving you sent the payment, not just found a random tx hash. Without signature, the wallet is set but unverified.

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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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• upload_document

  Revise

  Create a Revise document from a LOCAL file (docx, md, txt, html; PDFs/images not yet supported) without a Revise account and without putting its bytes in your context. Returns a one-time upload_url and a ready-to-run curl command — run the curl to stream the file. The curl response contains url (give it to your user — they view the document and create a free account to keep it, in one step) and edit_token (your Bearer token for future edits). For a public http(s) URL or a tiny inline file, use import_document instead. The document is private and deleted after 7 days if unclaimed.

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• picsart_vectorize

  Picsart GenAI

  Converts a raster image (PNG, JPG) into an SVG vector. Auto-picks the newest enabled Picsart vectorize model unless overridden via the `model` param. Use this when the user asks to "vectorize", "convert to SVG", "make this a vector", or wants a scalable version of a logo or icon. Best results on logos, icons, and simple graphics — photographic images vectorize poorly and the user should be warned. Do NOT use this to remove the background (use `picsart_remove_bg`), replace the background (use `picsart_change_bg`), upscale a raster image (use `picsart_enhance`), or generate a new image (use `picsart_generate`). Required input: `image` — a publicly-accessible URL to a PNG or JPG (not a local file path). Optional: `model` to pin a specific vectorize model. Example: `{ image: "https://example.com/logo.png" }`. Returns `{ assets, id, model, created_at, summary, why_relevant, url, results: [{ url, metadata? }], drive? }` plus a `resource_link` block for the SVG URL (mime `image/svg+xml`). `id` is the SDK's generation handle. Clients fetch the SVG from that URL. Spends credits. Requires Authorization: Bearer <picsart_token>.

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• analyze_image

  sheetsdata-mcp

  Analyze an image from a component's datasheet using vision AI. Use this when read_datasheet returns a section containing images and you need to extract data from a graph, package drawing, pin diagram, or circuit schematic. Pass the image_key from the read_datasheet response (the storage path in the image URL). Optionally pass a specific question to focus the analysis. IMPORTANT: For precise numeric values (electrical specs, max ratings), prefer read_datasheet text tables first — they are more reliable than vision-extracted graph data. Use analyze_image for visual information not available in text: package dimensions from drawings, pin assignments from diagrams, graph trends, and approximate values from characteristic curves. Examples: - analyze_image(part_number='IRFZ44N', image_key='images/abc123.png') -> classifies and describes the image - analyze_image(part_number='IRFZ44N', image_key='images/abc123.png', question='What is the drain current at Vgs=5V?')

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• list_images

  Goodeye

  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}``.

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• dry_run_endpoint

  EchoRelay

  Validate an endpoint document without writing it. Returns either {ok: true, resolved: <Framework config slice>} or {ok: false, errors: {...}}. Pass endpointId to dry-run a PATCH against an existing endpoint; omit it to dry-run a create. No DB write, no queue entry, no billing.

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• clipform_list_compositions

  Clipform

  Browse available video compositions and their expected props schemas. Call this before using clipform_render_composition to discover visual styles and their input props. For narrated slideshows from images, use clipform_generate_video instead.

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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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• get_brand

  Hermoso

  What Hermoso ALREADY KNOWS for this account/workspace — the same saved brand profile (products, logos, palette, positioning) + learned memory the web Studio uses. Call this FIRST: if hasBrand is true you can omit brand everywhere; if false, onboard with draft_brand. 0 credits.

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• bannerbear_get_image

  bannerbear

  Get a single generated image — poll this to check an async render (status: pending | completed | failed; image_url populates on completion). API: GET /v2/images/{uid}.

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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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• 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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• erase

  cnvs.app

  Delete a single item by id. `kind` MUST match the item type: 'text' for text nodes, 'line' for freehand strokes, 'image' for images — the wrong kind silently targets the wrong table and is a common mistake. Get the id + type from `get_board` (texts[], lines[], images[]). There is no bulk/erase-all tool: loop if you need to delete multiple items.

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• create_funnel

  convalytics

  Create a new funnel on a project. Steps are 2–10 ordered events or pageview paths. conversionWindowMs caps how long a visitor has between consecutive steps (default 7 days); this is the step-to-step limit, without which a funnel is just event co-occurrence. Returns { id } on success.

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• create_shorttext

  shorttext

  Create a new shortText and get a shareable shorttext.com URL back. Markdown is supported. Requires an API key in the request Authorization header (`Bearer st_live_…`, request one from api@shorttext.com) — without it, creation is rejected (reading stays open to everyone).

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• aetherwave_upscale_image

  AetherWave Studio

  Upscales a source image using Topaz's high-fidelity upscaler. Pass a public `imageUrl` and an `upscaleFactor`. Credit cost depends on the source resolution × factor; small images cost less than large ones at the same factor. Returns the upscaled image URL.

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• assign_display_categories

  agentView

  Assigns displays to categories. mode 'replace' (default) sets the full category list of each display in display_ids to category_ids; mode 'add' or 'remove' adds/removes one category (category_ids[0]) across many displays without touching other assignments. Discover IDs with list_display_categories; create categories with manage_display_category.

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