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298,713 tools. Last updated 2026-07-14 16:50

"ImageJ" matching MCP tools:

  • generate_image

    BananaBanana Image & Video Generation

    Start an AI image generation (Google Nano Banana family). Charges the account balance immediately and returns a job_id — poll get_result for the finished image URLs. Typical completion: 10–60 seconds. Costs $0.03–$0.20 per image depending on model and resolution (see list_models). Failed generations are automatically refunded. Generating several images at once (number_of_images > 1) is a batch: the first call returns a price quote and charges nothing — repeat the call with confirm_cost set to the quoted amount to start. Example: {"prompt": "studio photo of a ceramic mug on linen, soft daylight", "model": "nano-banana-2", "aspect_ratio": "4:5", "resolution": "1024"}
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  • generate_video

    BananaBanana Image & Video Generation

    Start an AI video generation (Google Veo 3.1 family or Gemini Omni Flash). EXPENSIVE: $0.10–$4.40 per clip. Cost confirmation is mandatory: the first call always returns a USD quote and charges nothing — repeat the call with confirm_cost set to the quoted amount to actually start. Returns a job_id; poll get_result (videos take 1–10+ minutes). Failed generations are auto-refunded. Models: veo-3.1-fast (default, good quality/price), veo-3.1 (best Veo quality), veo-3.1-lite (cheapest, 720p/1080p), omni-flash (always has sound, model picks 3–10 s duration, flat $1.00, supports conversational editing via edit_from_generation_id). Example: {"prompt": "drone shot over a misty pine forest at sunrise", "model": "veo-3.1-fast", "duration": 8, "resolution": "720p", "confirm_cost": 0.70}
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  • restore_face

    Image Tools - Background Removal, Upscaling & Face Restoration

    Restore and enhance faces in an image using GFPGAN. Detects all faces via RetinaFace, restores quality (fixes blur, noise, compression artifacts), and pastes them back. Optionally enhances the background using Real-ESRGAN. GPU-accelerated, sub-3s latency. Args: image_base64: Base64-encoded image data containing faces (PNG, JPEG, WebP). upscale: Output upscale factor -- 1 to 4 (default: 2). enhance_background: Whether to enhance background with Real-ESRGAN (default: true). Returns: dict with keys: - image (str): Base64-encoded restored image - format (str): Output image format - width (int): Output width - height (int): Output height - upscale (int): Scale factor applied - processing_time_ms (float): Processing time in milliseconds
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  • rendex_extract

    Rendex: Rendering API for Images, PDFs & Content Extraction

    Use this when the user asks to read, extract, get the text/content/article of, or summarize a webpage/URL. Do NOT use for a visual screenshot (use rendex_screenshot). Extracts clean reader-mode content from any webpage as Markdown, JSON, or HTML. Runs the same Chromium render pass as a screenshot, so it captures content after JavaScript runs — handles SPAs that fetch-only readers miss. Strips nav, ads, and boilerplate, returning the article body plus title, byline, and excerpt. Great for feeding page content to an LLM, summarization, or RAG ingestion. Costs 1 render credit per call.
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  • rendex_account

    Rendex: Rendering API for Images, PDFs & Content Extraction

    Check the Rendex account: which plan it's on, how many render credits have been used vs. the monthly limit (and when it resets), the per-minute rate limit, and a one-tap link to upgrade to a higher tier. Use this whenever the user asks about their usage, remaining quota, current plan, or how to get more renders / stop hitting limits. Read-only — costs no credits.
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  • list_models

    BananaBanana Image & Video Generation

    List all available image and video generation models with current per-unit USD prices, supported resolutions, durations and constraints. Prices come from the same source as the website — call this before quoting costs to a user or choosing a model. Free, no charge.
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  • BananaBanana Image & Video Generation

    Generate images and video from any MCP client — Claude Code, Claude Desktop, Cursor, VS Code, Windsurf. Models: Nano Banana 2 / 2 Lite / Pro for images (up to 4K), Veo 3.1 / Fast / Lite for video (4/6/8 s, up to 4K, optional native audio), and Omni Flash (720p with sound). Strictly pay-as-you-go: top up a balance, pay per generated item. Images from $0.03, video from $0.10. No subscription, no seats, no expiring credits — a month with no generations costs $0. Top up with crypto or Telegram Stars; no card required. Built for agents, not just humans. Expensive calls return a cost quote and charge nothing until the agent repeats them with confirm_cost, so an agent cannot run up a surprise bill. Failed generations and content-filter rejections are refunded automatically. Optional daily spend caps per API key. Seven tools, four of them free: list_models, get_account, get_result and list_generations cost nothing; only generate_image, edit_image and generate_video are billed. Nothing to install — hosted remote endpoint, no local runtime, no Google API keys needed. Docs: https://bananabanana.pro/mcp

  • Rendex: Rendering API for Images, PDFs & Content Extraction

    Render HTML, Markdown, or any URL to images or PDF, plus reader-mode extraction. MCP-native.

  • watch_update

    Rendex: Rendering API for Images, PDFs & Content Extraction

    Update a watch in place — pause/resume (paused), re-point (url), change schedule/diff/notify settings, or turn a channel off (webhookUrl/notifyEmail = null). Only the fields you send change; renderParams is deep-merged over the existing config. A scope change (url/selector/fullPage/size/device) re-baselines on the next check. Returns the updated watch as JSON.
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  • rendex_screenshot

    Rendex: Rendering API for Images, PDFs & Content Extraction

    Use this when the user asks to screenshot, capture, or take a picture of a webpage/URL, or to render raw HTML or Markdown to an image or PDF. Do NOT use to get a reusable hosted image URL (use rendex_render_link) or to make a branded multi-format document (use render_artifact). Captures a screenshot or PDF of any webpage, raw HTML, or Markdown. Supports full-page capture, dark mode, ad blocking, custom viewports, CSS/JS injection, cookie/header injection, PDF output, HTML and Markdown rendering, and progressive fallback for heavy sites. Returns partial renders on timeout by default (bestAttempt mode). Costs 1 render credit per call. Cookie/header injection requires Starter+; geo-targeting requires Pro+.
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  • image-detect

    The Stall

    Detects the true image format of any URL via magic byte inspection — works even when the file extension or Content-Type header lies (common with proxied or CDN-hosted images). Returns: format (png/jpeg/gif/webp/avif/bmp/tiff/svg/ico/unknown), detected MIME type, whether Content-Type header matches, file size (bytes), and pixel dimensions for PNG and JPEG. No API key required. $0.050/call.
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  • store-image-tool

    clippy

    Post one or more images (PNG, JPEG, GIF, or WEBP) to a Clippy room so they appear on every device watching it, optionally with a text caption. Pass each image as a base64 string or a data: URI. The room is created if it does not exist. Subscribed devices get a push notification. Returns the stored item, including direct URLs to fetch each image.
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  • get_account

    BananaBanana Image & Video Generation

    Get the current account balance (USD), this API key's name, optional daily spend cap and how much of it is used today. Free, no charge. Use it to check affordability before starting expensive generations.
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  • watch_create

    Rendex: Rendering API for Images, PDFs & Content Extraction

    Use this when the user asks to monitor, watch, or track a webpage for changes, or to be alerted/notified when a page changes. Do NOT use for a one-time capture (use rendex_screenshot). Creates a Rendex Watch — monitors a URL on a schedule and notifies when it changes (real-Chrome visual diff with a highlighted overlay, an extracted-text diff, or both). An active watch captures its baseline immediately. Returns the created watch as JSON.
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  • rendex_render_link

    Rendex: Rendering API for Images, PDFs & Content Extraction

    Use this when the user wants a reusable, HOSTED image URL — an og:image or a link to embed in an <img> tag — rather than the image bytes. Do NOT use for a one-off inline screenshot (use rendex_screenshot). Renders a URL, raw HTML, or Markdown and gives back a signed, hosted, edge-cached image URL instead of the bytes — ideal for dynamic OG images: drop the URL into <meta property="og:image"> or an <img> tag and Rendex serves a cached copy on every share. Takes the same options as rendex_screenshot, plus an optional expiresIn. Returns { url, expiresAt, format, cacheTtl } as JSON. Costs 1 render credit per fresh render; cached repeat hits don't re-charge.
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  • convert_image

    image-processing

    Convert image format Convert an image to a different format (jpeg, png, webp, tiff, gif). Optionally set quality, strip metadata, or enable lossless mode (webp). ### Responses: **200**: Processed image binary (Success Response) Content-Type: application/json Content-Type: image/jpeg **Example Response:** ```json "string" ``` Content-Type: image/png **Example Response:** ```json "string" ``` Content-Type: image/webp **Example Response:** ```json "string" ```
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  • ai-image-gen

    The Stall

    Generate an AI image from a text prompt using DALL-E 3. Returns a public URL for the image (hosted for 1 hour) plus the model's revised prompt. Supports vivid or natural style, and three aspect ratios: square (1024×1024), portrait (1024×1792), or landscape (1792×1024). $0.080/image — 20% below closest x402 competitor. Output is base64-encoded PNG or a direct URL depending on response_format.
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  • chat

    370.ai — AI Gateway: Video (Seedance 2.0, Wan, HappyHorse), Image, Speech + 100+ Chat Models

    Ask any text/chat model on 370.ai (Claude / GPT / Gemini / DeepSeek / Qwen / ...) and get its reply. Use this when you want a **specific or different** model than your own — e.g. consult Claude while you run on GPT, use a cheaper model for bulk work, or reach a model you don't have direct access to. One key, 100+ models. Call list_models to see the full catalog of model ids. Args: prompt: the user message / question. model: model id to call (see list_models). Empty = a fast cheap default. system: optional system instruction to steer the model. max_tokens: optional cap on output length (omit to let the model decide). temperature: optional sampling temperature 0..2 (omit for the model's default). Returns the model's text reply.
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