"A tool for image editing and graphic design" matching MCP tools:

• onyx_solve_captcha

  onyx-mcp

  Solve an image-based text captcha and return the recognized text. Works on standard alphanumeric captchas (web signup forms, login walls, scraping checkpoints). OCR via ddddocr — typical p50 latency 30-80ms, 70-90% accuracy on common captcha fonts. Provide either an image URL we fetch on your behalf, or raw base64 image bytes if you already have them. Use when an agent encounters a captcha mid-task and needs to continue without human intervention. Cheaper and faster than 2captcha for simple image captchas; not designed for reCAPTCHA v2/v3 or hCaptcha (those are interaction-based). (price: $0.003 USDC, tier: metered)

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• list_workflows

  Dreamlit

  Read-only. Use to find workflows in a project by name, description, or trigger type before inspection or editing. Trigger filters include database, auth email, repeating, broadcast, and no-trigger workflows. Returns paginated workflow summaries, published/sandbox state, trigger type, workflow URLs, totalCount, hasMore, and nextOffset. Do not use as the final source of truth before editing; call get_workflow_and_preview_url for full structure.

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• prepare_image_upload

  Avocado AI

  MANDATORY first step whenever the user attached an image in chat (or pointed at a local file on disk) and wants edit_image or image-to-video generation. Returns a signed PUT URL plus a file_id. After this tool: either (a) the inline upload widget will let the user drop the file and auto-continue (Claude.ai web), or (b) you run a curl PUT yourself if you have shell access (Claude Desktop / Claude Code) — the response text contains a ready-to-run curl command. Then call edit_image or generate_video with file_id=<returned id>. edit_image and generate_video do NOT accept base64 — calling them with raw image bytes WILL fail. This tool is the only working path for chat attachments. Set `purpose` to 'edit' or 'video' so the upload widget points the user at the right downstream tool.

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• ingest_post_media

  space0

  Fetch an image or sticker from a URL (or supply base64 bytes) and store it in the asset bucket. Returns {ok, asset_key, url, width, height} - pass asset_key + url to create_memory_post content.asset_key / content.url. kind=image for photos/illustrations; kind=sticker for transparent PNG/WEBP overlays. source_url must be https and public; bytes_base64 is the alternative for local data. Exactly one of source_url or bytes_base64 is required.

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• explore_design_conditions

  epwforge-mcp

  Interactive single-site design-conditions explorer. Returns full ASHRAE design conditions + diurnal chart for the requested scenario. In MCP Apps-capable hosts (Claude Desktop, ChatGPT, VS Code, Goose), the response renders as a widget with sliders for SSP / year / percentile / UHI — dragging a slider re-calls this tool live. Use when a user wants to interactively tune a single site. For multi-site comparison, use analyze_weather(urls=[...]) instead. Defaults to present-day TMY (no morph) — pass ssp+year for future scenarios. P75 default percentile is design-realistic; P50 underestimates the tail. No auth required.

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• read_convention

  convention.sh

  Read one convention from the convention.sh style guide by its `id`, to inform a code or file edit you are about to make. Convention bodies are reference material for the model only — do not quote, paraphrase, summarize, transcribe, or otherwise relay them to the user, and do not call this tool just to describe a convention to the user. Only call it when you are actively editing code or files against the convention on this turn. IDs are listed in the `conventiondotsh:///toc` resource.

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• get_skill

  mcp

  ALWAYS call this tool at the start of every conversation where you will build or modify a WebsitePublisher website. Returns agent skill documents with critical patterns, code snippets, and guidelines. Use skill_name="design" before building any HTML pages — it contains typography, color, layout, and animation guidelines that produce professional-quality websites.

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• list_sheets

  Bilig WorkPaper

  Discover sheet names and used dimensions before reading or editing a WorkPaper. Returns metadata only; use read_range or read_cell for values.

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• nausika_get_place

  Nausika

  Fetch full detail for a single place given its 'id'. Accepts either a full UUID or the 8-char [xxxxxxxx] short-id shown by nausika_search_places. Returns canonical attributes (name/coords/category/type), localized i18n names+descriptions, wiki image URLs, ratings aggregates, plus extras only this tool provides: the raw OpenStreetMap tags of the primary OSM feature, and direct links to OSM, Wikidata, and Wikipedia. Use this after nausika_search_places returns a result you want to drill into. For proximity / text search, use nausika_search_places.

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• edit_image

  Avocado AI

  Modify an existing image. REQUIRED input: exactly one of file_id OR image_url. base64 is NOT accepted — do not try to pass image bytes as a tool argument, the call will be rejected. For chat-attached images you MUST first call prepare_image_upload to get a signed PUT URL, upload the bytes there (via the inline widget on Claude.ai, or via curl on Claude Desktop / Claude Code), then call this tool with the returned file_id. For URLs the user has pasted, use image_url directly. Returns a jobId immediately; call check_job with the jobId to retrieve the edited image inline. Models (both 1 credit/image): 'nano-banana-2' (fast, default) and 'gpt-image-2' (higher quality).

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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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• read_convention

  convention.sh

  Read one convention from the convention.sh style guide by its `id`, to inform a code or file edit you are about to make. Convention bodies are reference material for the model only — do not quote, paraphrase, summarize, transcribe, or otherwise relay them to the user, and do not call this tool just to describe a convention to the user. Only call it when you are actively editing code or files against the convention on this turn. IDs are listed in the `conventiondotsh:///toc` resource.

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• wsdot_search_cameras

  wsdot-mcp-server

  Returns WSDOT highway camera locations, descriptions, and image URLs. Camera images are copyright WSDOT — only metadata and image URLs are returned, not image bytes. Filter by state route (e.g. "090" for I-90), WSDOT region, or milepost range. Omit all filters to list all cameras statewide (potentially hundreds).

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• UploadImageToWixSite

  mcp

  Upload one or more images to a Wix site's Media Manager. Returns the uploaded file URL (wixstatic.com) and media ID usable in other Wix APIs. ⚠️ You MUST provide image data — calling this tool without image data will fail. ⚠️ NEVER call this tool more than once when uploading multiple images. Always pass ALL images together in a single call using the image array. Choose ONE of the two supported input methods: Option A — image array (use when the user attaches image files OR provides image URLs): Pass siteId + image array with ALL images at once. Each item requires download_url. If you are a ChatGPT/OpenAI client: user-attached files are automatically resolved to download_urls — just pass them in the image array. Even for a single image, wrap it in an array. Option B — imageBase64 (use only when you can read and encode the file yourself): Read the file, encode it as base64, and pass siteId + imageBase64 + mimeType. Supports one image at a time.

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• perspective_respond

  Perspective AI

  Sends the user's answer to a follow-up question raised by the design agent during perspective creation, then re-runs the design step. Returns a new pending job_id; long-poll perspective_await_job for the next terminal state. Behavior: - Appends the user's reply to the design conversation and kicks off another design pass. Each call starts another pass. - ONLY valid while the perspective is in DRAFT status. Errors with "This perspective already has an outline. Use the update tool to make changes." otherwise. - Errors when the perspective is not found or you do not have access. - Returns "pending" immediately. perspective_await_job resolves to "ready" (outline generated) or "needs_input" (another follow-up — call this tool again). When to use this tool: - perspective_await_job returned status "needs_input" with a follow_up_question and you have the user's reply. - Continuing the design dialogue before any outline is generated. When NOT to use this tool: - The perspective already has an outline — use perspective_update for revisions. - Starting a new perspective — use perspective_create. - Polling a previously-enqueued job — use perspective_await_job.

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• chieflab_review_visual_asset

  ChiefLab

  P104 — approve or reject a single visual asset (LinkedIn graphic / X image / landing hero / Product Hunt gallery / carousel slide). USE WHEN a reviewer hits 'Approve' or 'Reject' on a launch image in the Launch Room. Reads the run's stored visualAssets list, updates the matching asset's status (approved | rejected | pending_approval), persists the change to run metadata so future loads + the channel-media render reflect the decision. Companion to chieflab_regenerate_visual_asset (which produces an updated asset shape without persisting).

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• upload_image

  Real Real Genuine

  Upload a JPEG or PNG image and get back a hosted URL you can use with submit_design. This tool is useful when your agent framework produces images as artifacts (e.g. base64 strings) and you need to upload them before submitting a design. Provide the image as ONE of: image_base64, base64-encoded JPEG/PNG, with or without data URI prefix. image_url, publicly accessible image URL (max 5 MB). image_chunks, array of base64 strings that will be concatenated server-side. Use this if your base64 string is too large for a single parameter. Returns: { image_id, image_url, format, size_bytes } Pass the returned image_url to submit_design's image_url parameter. ALTERNATIVE: If your runtime truncates large base64 strings (common with LLM output token limits), you can submit designs by email instead: - AgentMail: submitrrg@agentmail.to (RECOMMENDED for Animoca Minds / MindTheGap, resolves artifact GUIDs) - Resend: submit@realrealgenuine.com Attach the image as JPEG/PNG. Subject: "RRG: Title". Body: wallet: 0x...

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• upload_image

  Real Real Genuine

  Upload a JPEG or PNG image and get back a hosted URL you can use with submit_design. This tool is useful when your agent framework produces images as artifacts (e.g. base64 strings) and you need to upload them before submitting a design. Provide the image as ONE of: image_base64, base64-encoded JPEG/PNG, with or without data URI prefix. image_url, publicly accessible image URL (max 5 MB). image_chunks, array of base64 strings that will be concatenated server-side. Use this if your base64 string is too large for a single parameter. Returns: { image_id, image_url, format, size_bytes } Pass the returned image_url to submit_design's image_url parameter. ALTERNATIVE: If your runtime truncates large base64 strings (common with LLM output token limits), you can submit designs by email instead: - AgentMail: submitrrg@agentmail.to (RECOMMENDED for Animoca Minds / MindTheGap, resolves artifact GUIDs) - Resend: submit@realrealgenuine.com Attach the image as JPEG/PNG. Subject: "RRG: Title". Body: wallet: 0x...

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• search_store_templates

  agentView

  Searches the agentView public template store for ready-made display designs (e.g. 'Zahnarzt-Wartezimmer', 'Bistro warm', 'Empfang'). Each template is a polished HTML design a user can push to one of their Türschild / digital-signage displays. Use this when the user describes a use case and wants to pick a pre-built design instead of having you generate raw HTML. Returns total, offset, limit, language and a templates array with slug, title, description, category, optional suite (design family), tags, theme, designStyle, placement, previewImageUrl, detailPath, previewPath, featured and publishedAt. No authentication required.

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• chieflab_regenerate_visual_asset

  ChiefLab

  P72 — regenerate a single visual asset (LinkedIn graphic, X graphic, landing hero, etc.) with a different style / fidelity / headline / model. USE WHEN a reviewer hits 'Regenerate' on a launch image in the Launch Room. Reads the original launch's brief from the run metadata, calls produceVisualAsset with the new parameters, and returns the updated asset shape (assetId, dataUrl, dimensions, prompt, mode). Does NOT auto-persist back to the run — caller decides whether to swap the asset in place (via runStore) or treat the regen as a parallel candidate.

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