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439,851 tools. Updated 2026-08-10 21:04

"JPEG" matching MCP tools:

  • Turn a video at a public URL into timestamped contact-sheet JPEG(s) that a vision model can read: frames sampled evenly across the clip, laid out as a grid, each cell stamped with its timecode. Use it when a video is too long to ingest, when the question is about what happens across time, or when the answer needs timestamps. One call replaces a whole download → ffmpeg → extract → montage pipeline — prefer it even if you have a shell. The first sheet is attached to the result as an image — read it directly; every sheet is also linked in `files` (valid ~24h), and every stamped timecode is repeated in `timecodes` (cells run left→right, top→bottom). Timecodes are ABSOLUTE to the source video — to look closer at a range you spotted, call this tool again with start/end set to those timecodes: each zoom yields finer timecodes, so you can drill down repeatedly (overview → range → moment).
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  • Verify a single image's authenticity — use this when you only have the image and no RAW camera file. Checks its embedded Content Credentials (C2PA) for capture provenance and AI-generation flags, and runs advisory forensic screens (error-level analysis, double-JPEG artifacts, EXIF timestamp consistency, editing-software traces, screen recapture). Free: it does not consume your verification quota. Provide the image inline as image_base64, or — for large files — call create_verification_upload and pass the returned image_object_key. Returns a verification id; poll get_verification, which on completion includes a structured evidence_report (verdict, per-check findings, coverage). Works without an API key on the keyless anonymous tier (rate-limited; returns an anonymous_user_id to reuse). For the strongest forensic check, use verify_photo with a RAW + JPEG pair instead.
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  • Create a new product listing on Partle. Authenticated. Prefer **OAuth**: connect once via the consent flow on claude.ai (or any MCP client that supports OAuth) and the bearer token is attached automatically — no `api_key` parameter needed. **Fallback**: pass an `api_key` (prefix `pk_`, generate at /account) for programmatic or non-OAuth clients. Required OAuth scope: `products:write`. Use when the user wants to add an item for sale. For edits to an existing product, use `update_product` instead. **Images.** This tool creates text fields only — no image arg. Do **not** try to pass image bytes through a tool argument; phone-sized payloads blow past conversation context limits. The response includes a one-shot ``upload_url`` (signed, ~15 min TTL, bound to this product and your authenticated user). To attach an image from your code-execution sandbox, do **one** PUT request — no auth headers needed, the URL itself carries the credential: requests.put(result["upload_url"], data=open("/path/to/photo.jpg", "rb").read(), headers={"Content-Type": "image/jpeg"}) The bytes flow Python → HTTP body → Partle, never through the conversation. The URL works once and expires fast. Alternative if you don't have local bytes but have a public image URL: call ``upload_product_image(product_id, image_url=...)`` instead. **Duplicate prevention.** Same user, same product name (case- and whitespace-insensitive) returns 409 with `existing.id`, `existing.url`, **and a fresh `upload_url`** for that existing product — so if the user is just retrying with a photo, you can attach it directly to the existing listing without having to create or pick anything new. You can also call `update_product` to change fields. Don't retry blindly. **Idempotency.** Pass `idempotency_key` (any unique string per logical create — UUID or hash of the source listing) and a retry after a network failure returns the original response instead of creating a duplicate. Reusing a key with a different payload is a 422. Args: name: Product name. Required, 1–200 chars. description: Long-form product description. Optional. price: Price in whole currency units, **not** cents (e.g. ``15.99`` means €15.99). Max 100000. Omit for "ask the seller". currency: Currency symbol. Defaults to `€`. Use `$`, `£`, etc. url: Link to the merchant's product page. Optional but recommended. store_id: ID of the store this product belongs to. Omit for a personal listing not tied to any store. idempotency_key: Optional retry-safety token. Unique per logical create. Send the same key on retries to get the same response. 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: The created product record including its new `id` and canonical `partle_url`. Share `partle_url` with the user. Returns ``{"error": ...}`` on auth, dedup, or validation failure (dedup also returns ``{"existing": {"id", "name", "url"}}``).
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  • Mint a one-shot signed upload URL for a product you own. Authenticated. OAuth (scope `products:write`) preferred; `api_key` fallback. Use this when you have **local image bytes** (a file the user attached, bytes you generated/downloaded in your sandbox) and you want to attach them to a product that already exists. Common cases: - `create_product` returned 409 (duplicate name) — the listing already exists; this tool gives you an upload URL for it without creating anything new. - You're adding a 2nd, 3rd, … photo to a product. The returned URL is valid for ~15 min, single product, signed with your authenticated identity. From your sandbox, do **one PUT**: requests.put(result["upload_url"], data=open("/path/to/photo.jpg", "rb").read(), headers={"Content-Type": "image/jpeg"}) No auth header on that PUT — the URL is the credential. If you have a public URL (not local bytes), use `upload_product_image(product_id, image_url=...)` instead. Args: product_id: Product to attach the future image to. You must own it. 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: ``{"upload_url": str, "upload_expires_in": int}``, or ``{"error": ...}`` on auth/ownership failure.
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  • Create a new product listing on Partle. Authenticated. Prefer **OAuth**: connect once via the consent flow on claude.ai (or any MCP client that supports OAuth) and the bearer token is attached automatically — no `api_key` parameter needed. **Fallback**: pass an `api_key` (prefix `pk_`, generate at /account) for programmatic or non-OAuth clients. Required OAuth scope: `products:write`. Use when the user wants to add an item for sale. For edits to an existing product, use `update_product` instead. **Images.** This tool creates text fields only — no image arg. Do **not** try to pass image bytes through a tool argument; phone-sized payloads blow past conversation context limits. The response includes a one-shot ``upload_url`` (signed, ~15 min TTL, bound to this product and your authenticated user). To attach an image from your code-execution sandbox, do **one** PUT request — no auth headers needed, the URL itself carries the credential: requests.put(result["upload_url"], data=open("/path/to/photo.jpg", "rb").read(), headers={"Content-Type": "image/jpeg"}) The bytes flow Python → HTTP body → Partle, never through the conversation. The URL works once and expires fast. Alternative if you don't have local bytes but have a public image URL: call ``upload_product_image(product_id, image_url=...)`` instead. **Duplicate prevention.** Same user, same product name (case- and whitespace-insensitive) returns 409 with `existing.id`, `existing.url`, **and a fresh `upload_url`** for that existing product — so if the user is just retrying with a photo, you can attach it directly to the existing listing without having to create or pick anything new. You can also call `update_product` to change fields. Don't retry blindly. **Idempotency.** Pass `idempotency_key` (any unique string per logical create — UUID or hash of the source listing) and a retry after a network failure returns the original response instead of creating a duplicate. Reusing a key with a different payload is a 422. Args: name: Product name. Required, 1–200 chars. description: Long-form product description. Optional. price: Price in whole currency units, **not** cents (e.g. ``15.99`` means €15.99). Max 100000. Omit for "ask the seller". currency: Currency symbol. Defaults to `€`. Use `$`, `£`, etc. url: Link to the merchant's product page. Optional but recommended. store_id: ID of the store this product belongs to. Omit for a personal listing not tied to any store. idempotency_key: Optional retry-safety token. Unique per logical create. Send the same key on retries to get the same response. 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: The created product record including its new `id` and canonical `partle_url`. Share `partle_url` with the user. Returns ``{"error": ...}`` on auth, dedup, or validation failure (dedup also returns ``{"existing": {"id", "name", "url"}}``).
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  • Mint a one-shot signed upload URL for a product you own. Authenticated. OAuth (scope `products:write`) preferred; `api_key` fallback. Use this when you have **local image bytes** (a file the user attached, bytes you generated/downloaded in your sandbox) and you want to attach them to a product that already exists. Common cases: - `create_product` returned 409 (duplicate name) — the listing already exists; this tool gives you an upload URL for it without creating anything new. - You're adding a 2nd, 3rd, … photo to a product. The returned URL is valid for ~15 min, single product, signed with your authenticated identity. From your sandbox, do **one PUT**: requests.put(result["upload_url"], data=open("/path/to/photo.jpg", "rb").read(), headers={"Content-Type": "image/jpeg"}) No auth header on that PUT — the URL is the credential. If you have a public URL (not local bytes), use `upload_product_image(product_id, image_url=...)` instead. Args: product_id: Product to attach the future image to. You must own it. 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: ``{"upload_url": str, "upload_expires_in": int}``, or ``{"error": ...}`` on auth/ownership failure.
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  • Submit the user's ID photo for identity verification. Ways in: (a) image data you hold programmatically (e.g. the user sent the photo in this chat and your platform exposes its bytes) — pass front_base64 (and back_base64 for a license back; its barcode reads most accurately); (b) local (stdio) mode — pass file_path/back_file_path and the file is read from disk; (c) neither — you get a secure upload link to hand the user. Do NOT ask the user what kind of document it is or where it was issued — the type and country are detected automatically from the photo; only relay a question if the result says the type could not be determined. Returns the fields read off the document — SHOW THEM TO THE USER for confirmation before continuing — plus whatever is still missing. If the result says NO identity details could be read, the image did not read as an ID at all: never insist to the user that it was their ID. Supported: JPEG/PNG/WebP up to 12MB (convert iPhone HEIC first).
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  • Read the current screen: UIA targets (numbered ids + native coords) and a text summary. Does not move mouse/keyboard. Default image=false (no JPEG) for speed; set image=true only when you must judge pixels visually (then max_width≈960, quality≈60). If changed=false, JPEG is omitted even when requested — do not re-analyze; wait or act differently. If dirty is null, assume changed. Prefer input.send_actions for multi-step UI; observe after meaningful steps, not after every click. Target ids are valid only until the next UI change.
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  • Render a cheap multi-frame OVERVIEW of a scene as low-res jpeg thumbnails with their scene times — `{ frames: [{time, url}] }`. Two modes: pass `times` (PREFERRED — you usually know the interesting moments: clip seams, animation midpoints, entrance ends) to get an EXACT thumbnail per requested time, rendered concurrently; or pass `frames` (default 8, max 24) for evenly-spaced sampling across the whole timeline (one image-sequence render at 1fps — integer-second granularity only). Sits between a single full-res frame check and picsart_media_export (full encode): use it to eyeball pacing, seams, and content presence across the WHOLE timeline before exporting, instead of checking single frames repeatedly. Auth is handled by the platform automatically — no token setup needed on your end. Validate the scene first.
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  • Create a ChatGPT Ads custom audience from a customer list. Pass plain emails and/or phone numbers: Hermoso NORMALISES AND SHA-256 HASHES THEM LOCALLY and uploads only the digests, so no plaintext personal data leaves Hermoso. MEASURED 2026-08-09: OpenAI’s ads file endpoint only accepts IMAGE mimetypes (gif/jpeg/png/webp) and rejects a customer-list CSV under every upload purpose, so audiences are UI-only for now — this tool reports OpenAI’s verbatim refusal and points the user at ChatGPT Ads Manager, and will start working unchanged the day a data-file path opens. Values that are neither an email nor a phone number are skipped and counted, never silently dropped. An audience is a definition and cannot spend.
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  • Prepare or upload media so it can be attached to posts. For a public asset, pass `url` and PostLake fetches it. For a file on the agent's own machine, omit `url`, pass `contentType` and preferably `sizeBytes`, then PUT the file bytes to the short-lived upload target returned by this tool. Both paths validate type/size (images ≤20MB: jpeg/png/webp/gif; videos ≤200MB: mp4/mov/webm) and produce a med_… id for create_post. Never put file bytes or base64 in the tool call.
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  • Upload ONE side of a postcard (front or back) as single-page PDF, PNG, or JPEG artwork. The file is stored VERBATIM — no page-size normalization and no reserved address zone — so you are responsible for the correct trim size plus bleed: 4x6 cards need 4.25"x6.25" artwork, 6x9 needs 6.25"x9.25", 6x11 needs 6.25"x11.25" (0.125" bleed on each edge). The selected delivery method prints the recipient address block over part of the BACK, so keep that area clear of critical content and review the quote's `design` block before payment. Returns a documentId with kind "postcard_art". Upload front and back separately, then quote with create_postcard_quote. Free; no payment required. Provide the artwork EXACTLY ONE way: `contentBase64` (base64-encoded pdf/png/jpeg) or `url` (publicly reachable). Text-based formats are rejected — postcards are artwork, not documents.
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  • Click at native screen coordinates (0…native_width-1, 0…native_height-1 from screen.observe). Last resort when no suitable UIA target exists — prefer input.click_target. Never use JPEG/downscaled pixel coords. Side effect: real mouse click on the remote desktop.
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  • PREFERRED multi-step tool: run 1–10 predictable UI actions in one call (input.click_target, input.click_xy, input.type_text, input.send_keys, input.drag, input.scroll). Side effects: all actions execute on the remote desktop; fails fast before sending if any action is invalid. observe_after defaults true (verification observe: text+targets; set observe_image=true for JPEG). Do not batch across unpredictable waits (page loads, installers, modals) — single-step those. Prefer this over chaining solo click/type/keys tools.
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  • Convert one base64-encoded image to PNG, JPEG, WebP, or AVIF. Use input_mime_type with a real image MIME such as image/png or image/jpeg; common aliases like image/jpg, jpg, png, svg, and application/octet-stream with a filename are accepted. Use the REST API for source images larger than 5 MB. On every call, pass telemetry.agent_thinking with your reasoning for this specific call. Pass telemetry.user_intent only on the first tool call after a new user message.
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  • Create an upload slot for a reference image. Returns an upload URL and a ref_ token: upload the image file with one shell command (curl -T <file> '<uploadURL>'), then pass the ref_ token to the reference-image parameter you are filling - every parameter that takes reference images names this tool in its description. This is the ONLY way to supply reference images, and those parameters accept ref_ tokens and nothing else. Image data never goes inside a tool call: a call is JSON, so an embedded image would have to be base64 text that you, the caller, must emit character by character - slow, error-prone, and enough to exhaust your context window. The upload moves the bytes out-of-band instead: a plain HTTP PUT of the raw file, so any HTTP client works; if your environment has no way to send one, install curl. And when the image you want is from one of your OWN recent Logospell generations, skip the upload entirely: pass sourceGeneration and sourceImage and the server copies it directly - the shortcut for extending an existing set in its own style. Accepts PNG, JPEG, or WebP, each at most 500KB, each side between 64px and 768px - resize before uploading if needed; larger reference images do not improve results. A reference is private to your API key and can be used in any number of later calls; its expiry window restarts each time you use or re-upload it, so uploading a few references once can serve a whole session of work. Costs no credits.
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  • Generate a cohesive SET of custom images on a SOLID-COLOR background, each one a separate isolated subject sharing one background and one visual style (icons, logos, game assets, UI elements, sprite/asset packs). The style parameter says how everything is drawn; the subjects parameter says what to draw. The style can also come from reference images via the styleReferences parameter - alone, or best combined with the style text (text plus references holds a style tightest), so an existing set can be extended in its original style across many calls. Returns a zip download URL. Each call costs 1 credit. Run generation calls sequentially, never in parallel - only one generation runs at a time per API key. For TRANSPARENT-background output, use generate_transparent_image_set instead (3 credits per call). For a SINGLE composed picture or a full-bleed scene (hero image, banner, character portrait, environment), use generate_illustration instead. Output formats: PNG (lossless), JPEG, or WebP. Images can be delivered at a specific size or at their native resolution. Size and quality considerations: Omitting the size parameter delivers images at their native resolution with zero scaling, which produces the highest quality results and is recommended when images will be post-processed, composited, or resized downstream. Native output dimensions vary between generations and track the subject count - roughly 650-950px per side for small sets, down to roughly 400-650 at the full 18; fewer subjects means larger native images. Specifying a size (e.g. 512) guarantees consistent dimensions across all images and generations but applies resampling which may soften fine details. IMPORTANT - style and subject description rules for best results: The style applies to every image in the set, so it is what keeps them visually consistent. Put HOW the images are drawn (technique, palette, surface treatment) in the style, and make each subject description only about WHAT that one subject is, not how it looks. A quick test for any phrase: is it WHAT the subject is, or HOW it is drawn? HOW belongs in the style, shared across the set. - Get the style and the subject descriptions right with the user before you call. When their request puts how an image is drawn, a background, or a scene into a subject description (or names the subjects to draw in the style rather than as separate entries in the subjects list), fix it as you compose the call: routine moves of shared technique into the style you can just make, but when a change drops or alters something they explicitly asked for, tell them what you are adjusting and why first. Each call costs a credit, so it is worth getting this right up front rather than spending one on a framed or scene-filled result. - The style describes the visual treatment of the images (e.g. 'watercolor', 'pixel art', 'stained glass'). It must NOT mention background color, image count, layout, or sizing. - Do not list the subjects to draw in the style (e.g. 'illustrations of a fox, an owl, and a deer'); the style is only the shared visual treatment, and the subjects belong in the subjects list, one per entry. A category or theme word is fine (e.g. 'insect illustration'). - Do not put background color or background descriptions in the style or subject descriptions. - Avoid framing the style as a type of painted canvas ('oil painting', 'acrylic painting', 'gouache painting', 'pastel painting'). These tend to produce each image as a rectangular framed canvas with its own colored background, rather than an isolated subject. Prefer 'illustration' or a specific technique: 'watercolor illustration', 'pen-and-ink sketch', 'ink wash', 'relief-etching', 'pastel drawing', 'woodblock print'. - Avoid color-field or atmospheric phrasings in the style ('luminous backgrounds of violet, rose, and gold', 'set against jewel-tone fields', 'dreamlike rainbow atmosphere'). These instruct the image model to fill each image with colored atmosphere, producing framed compositions rather than isolated subjects. Describe only the linework, palette, and technique of the subjects themselves. - Do not describe an aged, weathered, cracked, or textured surface, ground, wall, panel, or paper that the whole artwork sits on ('on aged wood', 'cracked fresco wall', 'aged parchment surface'); name the art tradition(s) or style(s) instead ('fresco-style illustration'). Texture that belongs to a subject's own material is fine ('a weathered bronze shield', 'a cracked ceramic vase'). - No captions, labels, or annotations. Text that is part of the depicted object is fine (e.g. 'STOP' on a stop sign, 'EXIT' on an exit sign). - No grid lines, borders, frames, or separators. - No overlapping or collage-style arrangements. - Do not connect the subjects to each other or give them shared physical elements: no wires, cords, chains, ropes, ribbons, vines, or threads running between subjects, no frame or banner they share, no phrasing like 'connected by' or 'strung together', and no single continuous line or tube forming multiple subjects. Each subject must be drawable in complete isolation; connections inside one subject (a chain on an amulet, laces on a boot) are fine. - No dramatic/long drop shadows (subtle shadows are fine). - Image descriptions should describe WHAT to depict, not where to position it. - Each image is ONE isolated subject, not a scene. Describe the subject with its pose or action and anything it directly holds, rides, or interacts with, but not the surrounding setting, environment, landscape, or sky. For a single composed scene (a figure set within an environment), use generate_illustration instead. - Do not use size words (large, tiny, small, etc.) on the overall image subject (e.g. 'a large elephant', 'a tiny mouse') - all images are produced at the same size. Size words on details within the image are fine (e.g. 'a plate with a small insignia'). - Maximum 18 images per generation. Do not put the image count in the style. - Subjects must be distinct: entries that differ only in case, punctuation, or spacing count as the same subject and the call is rejected. Explicit filenames must be distinct too (a different extension alone is not distinct). - The style must actually describe a visual style, and each subject must name a drawable subject; text that does not is rejected. - Style description max length: 500 characters. Image description max length: 200 characters each. - Size: each axis between 256 and 512 pixels (e.g. "512" for square, "256x512" for non-square); values outside the range are rejected. Omitting size delivers native resolution, which is also the path to larger images. - If the style check returns a suggested cleanup, show the user the specific changes and get their confirmation, then resubmit the approved prompt with validation set to "skip" so it generates exactly as approved (resubmitting without "skip" re-runs the check and may return further suggestions). See the validation parameter for when to use "skip" and "auto-apply". - If a "Rate limit exceeded" error is returned, wait the suggested number of seconds before retrying. Do not retry immediately.
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  • PRIMARY path to close a Grove goal: this is the ONLY tool that covers an acceptance criterion. Attach binary evidence (screenshot, log dump, API response, export) to an AC — call it once per criterion to satisfy the close gate. The subordinate goal-add-evidence-text only adds context for proofs with NO bytes (URLs to permanent external sources, manual repro descriptions) and does NOT cover an AC. Caption is optional but strongly recommended: state what the file captures and the reproduction conditions (URL/commit/session/inputs) so a third reviewer can reproduce. ⚠ PICK THE RIGHT TRANSPORT BEFORE YOU CALL THIS TOOL ⚠ • BEST for ANY file > ~1 KB raw — and the ONLY no-token path, so use it in a claude.ai / hosted-agent session that has no raw X-Auth-Token → call the sibling MCP tool `goal-request-upload` with this same criterionId. It returns a one-time {uploadUrl, expiresAt}; then stream the raw bytes with a single PUT: `curl -sS --fail --upload-file "/abs/path/to/file.png" "<uploadUrl>"` (optionally add -H "X-Content-Sha256: <hex sha256>" so corruption fails fast). No base64, no token — the signed ?t= ticket in the URL is the only credential, single-use, criterion-scoped. The PUT response is the same evidence JSON this tool returns. • ALTERNATIVELY, if you DO have the raw X-Auth-Token in your shell → the `planner-attach.sh` helper (zero-install bash, binary-safe). The MCP base64 path below is unreliable for non-trivial files: long string arguments get truncated or whitespace-corrupted on the agent side BEFORE the JSON-RPC request is sent. Measured 2026-05-20 on prod: a 4 KB PNG arrived at the server as 1874 decoded bytes (file_hash_mismatch); a 2 KB payload arrived with stray whitespace (failed base64_decode). The server itself accepts up to 25 MiB raw — the bottleneck is the agent-side serialisation of contentBase64, NOT the server. planner-attach.sh COPY-PASTE RECIPE (replace 3 placeholders, run in your shell): curl -sS https://planner.monopoly-gold.com/api/cli/planner-attach.sh \ | PLANNER_TOKEN="<same X-Auth-Token you use for MCP>" bash -s -- \ --criterion-id "<CRITERION_UUID>" \ --file "/abs/path/to/file.png" \ --caption "what is captured and the repro conditions" \ --created-by "<your agent id>" Where to get each value: - PLANNER_TOKEN: the very same token that is already in your MCP config under the X-Auth-Token header for the `planner` server. NOT a separate credential. - CRITERION_UUID: the AC id you got from goal-get / goal-list. Same UUID you would pass to this MCP tool. - file path: absolute path on YOUR (agent) machine — the script reads it locally and streams multipart. The planner server never sees your filesystem. The helper computes SHA-256 itself and ships it as `contentSha256`, so any in-flight corruption fails fast with HTTP 400 instead of poisoning the evidence row. Output on stdout is the same JSON shape this MCP tool returns; non-zero exit means HTTP ≥ 400 (stderr explains). Without curl/bash? Fall back to raw multipart: POST https://planner.monopoly-gold.com/api/criteria/<id>/evidence/file, header X-Auth-Token, form fields file=@..., contentSha256=..., caption, createdBy. • File ≤ ~1 KB raw → this MCP tool is fine. ALWAYS pass `contentSha256` (hex SHA-256 of raw bytes BEFORE base64). Without it, a silently truncated PNG looks valid to the MIME sniffer; the server cannot distinguish a truncated 4 KB PNG from a valid 1 KB one and the vision judge burns ~30s on broken bytes. With the hash, the server fast-fails with error=file_hash_mismatch and points back here at the multipart endpoint. Validates MIME whitelist (png/jpeg/webp/gif/pdf/txt/json/zip), per-file size cap (ATTACHMENTS_MAX_FILE_BYTES, default 25 MiB), per-project attachments quota. Returns evidence record + file URL + serverSha256.
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  • Upload ONE side of a postcard (front or back) as single-page PDF, PNG, or JPEG artwork. The file is stored VERBATIM — no page-size normalization and no reserved address zone — so you are responsible for the correct trim size plus bleed: 4x6 cards need 4.25"x6.25" artwork, 6x9 needs 6.25"x9.25", 6x11 needs 6.25"x11.25" (0.125" bleed on each edge). The selected delivery method prints the recipient address block over part of the BACK, so keep that area clear of critical content and review the quote's `design` block before payment. Returns a documentId with kind "postcard_art". Upload front and back separately, then quote with create_postcard_quote. Free; no payment required. Provide the artwork EXACTLY ONE way: `contentBase64` (base64-encoded pdf/png/jpeg) or `url` (publicly reachable). Text-based formats are rejected — postcards are artwork, not documents.
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  • Upload a photo to one of your Stay's photo areas. Supply EXACTLY ONE of 'url' (a public https:// link, e.g. a Google Drive or Dropbox share link — the server downloads it) or 'base64' (the raw image bytes, base64-encoded — use this when you already have the image data in hand, e.g. a user attached a photo in the conversation, and have nowhere public to host it first). The photo is validated against the same minimum specs as a manual upload: JPEG, PNG, or WebP, under 20MB, and a minimum resolution that depends on area. Most areas require at least 1920x1080 landscape; 'host' requires at least 1080x1350 PORTRAIT — a landscape photo will be rejected for that area. Every upload is downscaled to fit within 2560x1440 and re-encoded server-side as WebP (stripping metadata and anything that isn't genuine image data) before storage. Requires NOMADSTAYS_MCP_AGENT_TOKEN.
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