"Tools or platforms for generating basic images from text prompts" matching MCP tools:

• upload_fileA

  BorealHostA

  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

• document.summarizeA

  apiA

  Summarize document text into a prose summary and key points with citations. Use after document.extract_text or url.extract when you need a condensed understanding of a long document. For single-sentence Q&A, use url.qa instead. For extracting specific fields, use document.extract_structured. Typical workflow: document.extract_text/url.extract → document.summarize. Returns: { summary: string, key_points: string[], summary_cited: { value, confidence, citations[] }, key_points_cited: [{ text, citations[] }], truncated: boolean, strategy: "full"|"truncated"|"chunked" } Example prompts: - "Summarize this financial report and give me the key points." - "What are the main takeaways from this document?" - "Give me a concise summary of this 50-page report."

  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

• 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

• secret_scanA

  IA-QA — 130+ QA & Dev Tools for AI AgentsA

  Scan text or code for leaked secrets: API keys (AWS, GCP, Azure, OpenAI, Anthropic, Stripe, GitHub, GitLab, Slack, Twilio, SendGrid, HuggingFace), private keys (RSA/EC/PGP), JWTs, database connection strings, Bearer tokens, and Basic auth headers. Returns a list of findings with type, severity, line number, and a redacted preview. Use before committing code, sharing logs, or sending text to an LLM. 100% regex-based, zero network calls.

  ConnectorNo auth

• document.summarizeA

  DocImprintA

  Summarize document text into a prose summary and key points with citations. Use after document.extract_text or url.extract when you need a condensed understanding of a long document. For single-sentence Q&A, use url.qa instead. For extracting specific fields, use document.extract_structured. Typical workflow: document.extract_text/url.extract → document.summarize. Returns: { summary: string, key_points: string[], summary_cited: { value, confidence, citations[] }, key_points_cited: [{ text, citations[] }], truncated: boolean, strategy: "full"|"truncated"|"chunked" } Example prompts: - "Summarize this financial report and give me the key points." - "What are the main takeaways from this document?" - "Give me a concise summary of this 50-page report."

  ConnectorNo auth

• collection.searchA

  DocImprintA

  Semantic (vector) search across documents in a collection. Returns ranked text chunks with relevance scores. Free — no credits consumed. Use when you need raw matching chunks from a collection. For a synthesized cited answer from the same context, use collection.ask instead. PREREQUISITE: Collection must be populated via collection.add_document and async indexing must complete (poll job.status) before results appear. Returns: { results: [{ bundle_id, chunk_id, text, score: number (0–1), title? }] } Example prompts: - "Search my Q4 Contracts collection for mentions of liability cap." - "Find the clause about data retention in my due diligence docs." - "Search for revenue numbers across my quarterly reports."

  ConnectorNo auth

• url.extractA

  DocImprintA

  Fetch a public HTTPS URL and return extracted text and page metadata. Lean mode — no evidence bundle stored, no bundle_id returned. Use for raw text extraction from web pages and online documents. Use url.summarize for summaries, url.qa for Q&A, url.translate for translation, document.extract_text for base64 file uploads. Returns: { url, title, word_count, text, final_url (after redirects) } Example prompts: - "Extract the text from https://example.com/report.pdf for me." - "Get me the raw content of this web page: [URL]." - "Pull the text from this online article so I can analyze it."

  ConnectorNo auth

• url.extractA

  apiA

  Fetch a public HTTPS URL and return extracted text and page metadata. Lean mode — no evidence bundle stored, no bundle_id returned. Use for raw text extraction from web pages and online documents. Use url.summarize for summaries, url.qa for Q&A, url.translate for translation, document.extract_text for base64 file uploads. Returns: { url, title, word_count, text, final_url (after redirects) } Example prompts: - "Extract the text from https://example.com/report.pdf for me." - "Get me the raw content of this web page: [URL]." - "Pull the text from this online article so I can analyze it."

  ConnectorNo auth

• convert_html_to_pdfA

  Sats4AI - Bitcoin-Powered AI ToolsA

  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'.

  ConnectorNo auth

• update_segment_contentA

  framesailA

  Rewrite one segment's creative direction from feedback ("make this shot a close-up", "show the machine from above") — an LLM rewrites the shot's prompts; continuation links, SFX, and overlays are preserved. The visual assets reset to not_started: re-render them afterwards (generate_segments or regenerate_segment_asset). When you already know the exact prompt text, use update_segment_prompts instead — it writes your words verbatim with no LLM in the loop.

  Connector

  Destructive

  No auth

• generate_segmentsA

  framesailA

  Render every actionable segment asset (images, video clips, overlays) across the project, in dependency order. THE most expensive call in the pipeline: ALWAYS dry_run=true first, show your user the estimate next to get_credit_balance, and wait for a fresh yes before the real run — prior blanket permission ("do the whole thing") does not cover this spend. The staged flow is cheapest: asset_scope="no_clips" first (images + overlays), review, then animate_segment the shots that deserve motion. Pass segment_numbers to render only a subset — e.g. segments 1-18 for the opening minute before committing to the full video. Safe to re-run: completed and currently-generating assets are skipped, so a second call only picks up new/failed work. Async — one job per asset; await_jobs until all complete.

  ConnectorNo auth

• twprojects-create_upload_urlA

  mcpC

  Reserve an upload for a file and get back a short-lived URL to send its bytes to, plus a single-use reference. Use this for any file that already exists — a PDF, an image, a signed document — because the bytes go straight from you to storage and are never read into the conversation. Send the file with the returned method and URL, setting exactly the headers returned and no authorization of your own. Then pass the reference in attachment_refs on twprojects-create_task, twprojects-update_task, twprojects-create_comment or twprojects-create_message. Prefer twprojects-create_file only for short text you are generating yourself.

  ConnectorNo auth

• get_agent_registryA

  DC Hub — Data Center Site Selection & Colocation: Electricity, Power Grid, Gas, FiberA

  Curated roster of the AI platforms and agent frameworks in the DC Hub agent ecosystem — each with its recommended DC Hub tools and authentication tier. The roster is BACKEND-OWNED and changes: read the platforms[] array the response returns, and the status on each row (mcp_active / mcp_ready), rather than any list named in this sentence — an enumeration here goes stale the moment the backend adds or drops a platform, which is exactly how a client named here stopped appearing in the roster. ★ These statuses are CURATED EDITORIAL claims, not measurements: the response carries as_of null, so do NOT relay "MCP Active" as though it were a live connection count. Answers "which AI platforms can connect to DC Hub". Try: get_agent_registry. NOTE: this is a curated ecosystem/capability index, NOT live per-caller call/citation telemetry. Do NOT use for platform uptime or feed health (use get_backup_status).

  ConnectorNo auth

• set_board_modeA

  cnvs.appA

  Choose whether this board is a freeform whiteboard ('draw', the default) or a kanban task board ('todo'). Mode is switchable WHENEVER the board is empty of real content: drawings (text/strokes/images) and tasks. Empty or seeded columns DON'T count (switching to 'draw' clears them), so a cleared board can be switched again, and you can flip draw<->todo freely until the first stroke/text/image or task lands. Setting 'todo' auto-seeds three starter columns (To do / In progress / Done). Returns `{ mode, columns }`. Use the task/column tools (`create_task`, `create_column`, …) once the board is in 'todo' mode.

  Connector

  Destructive

  No auth

• list_brand_assetsA

  HeistaA

  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.

  ConnectorNo auth

• get_facetsA

  Besot: Musician Fashion ResaleA

  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.

  ConnectorNo auth

• document.extract_structuredA

  apiA

  Extract typed fields from document text using a caller-defined schema. Uses a quality AI model with retry logic. Use when you need specific data points from a document rather than full text. For invoices with known fields, document.parse_invoice (prebuilt schema) may be simpler. For general summarization, use document.summarize instead. Schema format: { "field_name": "type hint or description" } — e.g. { "contract_date": "ISO date", "party_a": "string", "penalty_usd": "number" }. Returns: { data: { <field>: value }, data_cited: { <field>: { value, confidence: "high"|"medium"|"low", citations: [{ quote, paragraphs[] }] } } } Example prompts: - "Extract the contract date, parties, and penalty amount from this agreement." - "Pull the vendor name, PO number, and total from this document." - "Get me all named fields from this form using my custom schema."

  ConnectorNo auth

• federation_catalog_platformsA

  ComOS Federation GatewayA

  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. Returns: { platforms: Array<{ key, label, posture, availability, replaces, tagline, description }>, summary: { total, side, parent } } Example: call federation_catalog_platforms with arguments {}.

  ConnectorNo auth

• check_page_alt_textA

  Inclusify AccessibilityA

  Use this to check one page's images and alt text NOW — including a page no scan has ever covered, and straight after changing images or writing alt text, when the stored scan is already out of date. READ-ONLY: loads one page and inspects it; changes nothing. For what a stored scan already recorded across the site, which is free, use list_alt_findings instead. This one loads a page, so it is metered against the website's daily browser-check allowance and its monthly distinct-page allowance. It checks every image on the page for alt-text problems that can be decided from the markup: a missing alt attribute (which is not the same as an empty one), a filename used as alt, a redundant "image of" opener, alt too long to hear in one breath, alt that merely repeats the visible caption, and an image that is the only content of a link and leaves it with no accessible name. Images correctly marked decorative are counted and deliberately not reported, and neither is the same alt repeated across images: markup cannot tell a product gallery from a row of different products. The decidable version of that — one accessible name, two link destinations — comes from screen_reader_transcript. Whether an existing, plausible-looking alt actually describes its picture is a different question and is not judged here. Findings are capped at 20, worst impact first; imageCount and a stated findingsOmitted count cover the rest on a large gallery or catalogue page. A run that lands on a bot-protection interstitial rather than the page is reported as void, never as clean, and a void run carries no image counts and no findings. Where the interstitial title is contradicted by a page's worth of images, the run stands and carries challengeSuspected instead: trust the images, not the title. Read-only: nothing is written to the site.

  ConnectorAPI key