"Tools or platforms for generating images" matching MCP tools:

• 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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• check_upload_link

  Orivox AI Website Builder

  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.

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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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• report_status

  Datalastic Vessel Tracking & Maritime Intelligence

  Check an async report job by report_id (from report_request or report_list). Returns its status: _PENDING_ or _IN_PROGRESS_ (still generating — wait a bit and check again) or _DONE_. When _DONE_, result_url is a download link for the result ZIP; hand it to the user. Links are time-limited — if one has expired, run report_status again for a fresh link. The server never downloads the file itself.

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• convert_html_to_pdf

  Sats4AI - Bitcoin-Powered AI Tools

  Convert HTML or Markdown to a pixel-perfect PDF. Returns JSON: { url } — a temporary download URL (valid ~1 hour). Great for generating invoices, reports, receipts, or formatted documents programmatically. Supports full HTML/CSS including tables, images (base64 or URL), and inline styles. For Markdown input, set format='markdown'. 50 sats per conversion. Use convert_file instead for converting existing files between formats (e.g., DOCX→PDF). Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='convert_html_to_pdf'.

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• enable_tools

  Hermoso

  Switch on a group of tools that is not in this session's roster — no reconnect, no config edit. The default roster is everything EXCEPT `ads`, because paid-campaign management across ten platforms is 238 tools and about two thirds of the total schema weight, and most sessions never build a campaign. CALL THIS THE MOMENT YOU NEED ONE: if the user asks to build, budget, target, report on or change a campaign on Meta, Google Ads, LinkedIn, Reddit, Microsoft, Pinterest, X, TikTok, Snapchat, ChatGPT Ads or Apple Search Ads, call enable_tools({groups:['ads']}) first and the tools appear. Groups: core, research, create, channels, ads, files, workspace — or 'all'. Free, instant, and it never turns anything off.

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• search_platforms

  crowdspace

  Search the CrowdSpace catalogue of crowdfunding and P2P lending platforms. Returns per platform: name, investment types, industries, country of headquarters, minimum investment, advertised return range, and the URL of its CrowdSpace profile. Use it to answer "which platforms let me…" questions and to cite specific platforms, always linking the returned profile URL. Do NOT use it for a full platform profile (fees, descriptions and terms are on the profile page, deliberately not in this API), nor for market-wide numbers — get_market_overview answers those in one call instead of paging through hundreds of results. Every filter value is enumerated in this schema; do not invent one. The catalogue keeps platforms that have stopped operating: a closed one is marked "no longer operating" in the result, and the count says how many of the matches are still running — say so rather than quoting the raw total as live platforms. Where a field is not in the result — fees, terms, the full description, the funding volume behind a sort — say it is not served here and link the profile. Do NOT fill the gap from your own knowledge: a figure you remember about a platform will be read as a figure from this catalogue.

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• get_market_overview

  crowdspace

  Aggregate figures for a slice of the crowdfunding market: how many platforms operate there, how many are regulated and by whom, the minimum / maximum / average advertised return and minimum investment, the spread of funding volumes and founding years, and the distribution across investment types and industries. Slice it by country, industry, region or any other catalogue filter — omit them all for the whole market. Use it for "how big / how regulated / what is typical" questions. Do NOT use it to name platforms — it returns no platform names; search_platforms does that. Figures reflect the live catalogue at the time of the call.

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• get_regulatory_map

  crowdspace

  The regulatory picture per country: the regime in force (ECSPR across the EU, national regimes elsewhere), the authorities that supervise platforms there, the main licence type, and how many platforms are REGISTERED in that country and how many of them are regulated. Use it for "is crowdfunding regulated in X / who regulates it / how many platforms are licensed there" questions. The counts are by country of REGISTRATION — the platforms an authority there supervises — not by the countries a platform serves. For "how many platforms operate in X", use search_platforms with the country filter instead; that number is larger. Omit the country to get the whole map — a long answer, so name a country when you have one. It reports what the catalogue records about supervision; it is not legal advice and does not cover tax or investor-eligibility rules.

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• list_brand_assets

  Heista

  List images for a brand. Filter by PowerSource (this scan only, via powersource_id), by on-pack product_name (the vision tagger's read), by type (logo, product, product_cutout, hero, lifestyle, ingredient, packaging, certification, before_after, infographic, screenshot, video, general), or by is_primary_product. Use this BEFORE generating any image-based output so you pick from the brand's real assets, not generic stock. Returns asset_id, signed url, type, detected_product_name, is_primary_product, sources. Free, read-only. Paginated via cursor.

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• get_facets

  Besot: Musician Fashion Resale

  Return the values that actually exist in the catalogue for filtering a search: sizes, conditions, source platforms, artists, designers, and the price range. Use this before search_pieces when you want to build a precise query from real values rather than guesses. For example, to check which sizes of a garment are genuinely listed right now, or which platforms currently carry a given collection.

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• visual_compare

  Robot Actions — Remote Device Control

  Compare two screenshots — a baseline/expected capture and a live/current capture of (nominally) the same screen — using a perceptual pixel-diff. Returns the similarity score and changed-pixel count as text, AND returns the baseline, live, and diff images as images you can view directly, so YOU judge whether any flagged difference is a real regression (layout shift, missing/broken element, wrong color/theme, wrong or garbled text, unexpected new content) or just benign noise (dynamic content like timestamps/ads/carousels, anti-aliasing, rendering noise) — this tool does not make that call for you. Provide either two raw base64 images, or a review_id (from list_visual_reviews) to pull a stored baseline instead of re-fetching it.

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• search_meta_ads

  Hermoso

  Structured Meta (Facebook/Instagram) Ad Library pull — use when you know exactly WHAT to fetch: a keyword (query) OR one advertiser (companyName / pageId). Returns compact JSON {page_name, body, cta, link, dates, media} per ad. For open-ended research that needs judgment across platforms, use research_ads instead. Spends ScrapeCreators credits (~1–2).

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• get_term_info

  VirtualFlyBrain

  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).

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• pictify_batch_render

  mcp

  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. 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.

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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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• echosaw_download_media

  mcp-server

  Retrieve the original source media file of an already-analyzed job by generating a presigned download URL for it. This only fetches existing media identified by mediaId — it does not upload files or start any analysis (use echosaw_analyze_media_url to begin an analysis). The URL is valid for 1 hour.

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• federation_catalog_platforms

  ComOS Federation

  Browse the ComOS network's composable platforms as a recursive catalog. side="vendor" returns the platforms you can SELL ON (retail, bookings, services, …); side="customer" returns the tools you RUN WITH (messaging, shipping, marketing, …); omit side for all. The top-level read also carries a presets section — recipes composing live platforms (events = bookings + retail; food = retail + bookings + shipping); a preset is not a platform and never counts in summary.total (CO 455). parent="<key>" descends into a platform's sub-catalog — e.g. parent="messaging" returns its channels (email, sms, dm). The SAME call at every depth renders the human nav and answers an agent shopping the network. Pairs with federation_catalog_agents: platforms are what you become; agents are the operators you hire to run them.

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• find_related_objects

  ALM X++ MCP Server

  Returns ALL FK/DeleteAction/DataSource relations (outgoing) AND back-references (incoming). Call BEFORE generating multi-object code to understand the full dependency graph. When the relation index is loaded, delegates to get_relation_graph (O(1)) internally — do NOT call both tools for the same object.

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• trigger_sync

  Growomat

  Push the active Space's campaigns to your connected ad platforms and import remote changes. ASYNCHRONOUS: returns a syncId immediately with status 'started' (or 'nothing_to_sync'); the sync runs in the background. Poll get_sync_status with the syncId until its status is terminal (completed, partial, failed, or cancelled). Spends real ad budget and mutates external platforms. The platform connection is account-wide; the campaigns synced are the active Space's. Fails if a sync is already running in this Space. Scoped to the active Space — see set_active_space to switch, or pass space_id to override for this one call.

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