"Flux" matching MCP tools:

• aetherwave_edit_image

  AetherWave Studio

  Edits an existing image guided by a text prompt. Pass a public `imageUrl` plus a `prompt` describing the change ("add a moon to the sky", "swap the background for a neon city", "make it look like a comic panel"). Submits, polls, and returns the edited image URL(s). Default model is 'grok-imagine-i2i' (6 cr per call, returns 2 variations, ~30s, best cost-to-quality on standard edits). Other I2I-capable models: 'seedream-v4-edit', 'wan-2.5-spicy-i2i', 'flux-kontext-pro', 'qwen-image-edit', 'gpt-image-1.5-i2i' (slow, ~5min). Use list_image_models for full lineup. Note: source URLs with spaces or parentheses may fail upstream; prefer clean URLs. ## Model selection guide for edits Default: `grok-imagine-i2i` (6 cr per call, returns 2 variations = 3 cr/image effective, fast ~30s, strong general-purpose edit quality). Pick a different model when: - Need a single deterministic output, or 4K resolution -> `seedream-v4-edit` (7 cr per image, supports 1K/2K/4K, multi-image up to 6) - Subtle edits / preserve composition / character consistency -> `flux-kontext-pro` or `flux-kontext-max` - NSFW edits -> `wan-2.5-spicy-i2i` - Highest quality, time is not a concern (~5 min OK) -> `gpt-image-1.5-i2i` or `grok-imagine-quality-i2i` (16 cr @ 1K, 22 cr @ 2K) - Stylized / artistic transformation -> `midjourney-i2i` If the user simply says "edit this image" with no other signal, default to `grok-imagine-i2i`.

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• picsart_list_models

  Picsart GenAI

  Lists Picsart AI models across ALL modes (image / video / audio / text) and renders the Picsart Studio model-picker widget so the USER can browse, compare, and pick a model visually. Each item carries `id`, `name`, `mode`, `inputType` (and `provider`, `badges`, `description` when `verbose` is true). Use this when the user wants to SEE the available models or pick one themselves — especially when they have not committed to an output mode yet, or for cross-mode searches ("all flux models", "every model with image input"). For known output modes prefer the dedicated tools — `picsart_list_image_models`, `picsart_list_video_models`, `picsart_list_audio_models` — they route better from implicit prompts and need fewer filters. Do NOT use it to fetch a single model's parameter schema (use `picsart_model_params`) or estimate per-call cost (use `picsart_preflight`). If you only need catalog knowledge for your own reasoning (no UI shown to the user), use `picsart_model_catalog` instead. Inputs (all optional): `mode` (filter to image/video/audio/text — text = LLM models that return generated text), `provider` (case-insensitive substring like "flux", "kling", "google"), `acceptsImage` (true → only models that take an image input — i2i, i2v, i2t), `acceptsVideo` (true → only models that take a video input — v2v, v2a, v2t), `acceptsAudio` (true → only models that take an audio input — a2v, sts), `inputType` (exact-match escape hatch; one of t2v/i2v/v2v/a2v/t2i/i2i/t2a/v2a/tts/sts/sfx/music/t2t/i2t/v2t), `limit` (1–100, default 20), `verbose` (default false; when true each item adds provider/badges/description). inputType codes — first letter is input modality, second is output: t2i (text→image), i2i (image→image), t2v (text→video), i2v (image→video), v2v (video→video), a2v (audio→video), t2a (text→audio), v2a (video→audio), tts (text-to-speech), sts (speech-to-speech), sfx (sound effects), music (music gen), t2t/i2t/v2t (LLM text output from text/image/video input). Example: `{ mode: "video", acceptsImage: true, limit: 10 }` returns image-to-video models. Returns `{ items, total, truncated }` — `truncated` is true when more matched than were returned; refine filters or raise `limit` (max 100) to see more. Read-only; spends no credits and works without authentication.

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• picsart_model_catalog

  Picsart GenAI

  Returns the Picsart AI model catalog as plain data — renders NO widget or UI. Use this when YOU (the assistant) need catalog knowledge for your own reasoning: picking a model before `picsart_generate`, answering "which models support X", or comparing options — without pushing a model-picker widget into the conversation. When the user wants to SEE or browse models visually, use `picsart_list_models` instead (it renders the Picsart Studio picker). Same filters and result shape as `picsart_list_models`, but every item is rich by default: `id`, `name`, `mode`, `inputType`, `provider`, `badges`, `description`. Do NOT use it to fetch a single model's parameter schema (use `picsart_model_params`) or estimate per-call cost (use `picsart_preflight`). Inputs (all optional): `mode` (filter to image/video/audio/text — text = LLM models that return generated text), `provider` (case-insensitive substring like "flux", "kling", "google"), `acceptsImage` (true → only models that take an image input — i2i, i2v, i2t), `acceptsVideo` (true → only models that take a video input — v2v, v2a, v2t), `acceptsAudio` (true → only models that take an audio input — a2v, sts), `inputType` (exact-match escape hatch; one of t2v/i2v/v2v/a2v/t2i/i2i/t2a/v2a/tts/sts/sfx/music/t2t/i2t/v2t), `limit` (1–100, default 20), `concise` (default false; when true items carry only id/name/mode/inputType to save tokens). inputType codes — first letter is input modality, second is output: t2i (text→image), i2i (image→image), t2v (text→video), i2v (image→video), v2v (video→video), a2v (audio→video), t2a (text→audio), v2a (video→audio), tts (text-to-speech), sts (speech-to-speech), sfx (sound effects), music (music gen), t2t/i2t/v2t (LLM text output from text/image/video input). Example: `{ mode: "audio", inputType: "music" }` returns music-generation models. Returns `{ items, total, truncated }` — `truncated` is true when more matched than were returned; refine filters or raise `limit` (max 100) to see more. Read-only; spends no credits and works without authentication.

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• picsart_model_params

  Picsart GenAI

  Returns the parameter schema for a specific Picsart model — a map of param name to descriptor ({ type, required, default, enum, min, max, step, label, accept }). Use this once you have a model id and need to construct the params payload for `picsart_generate` or feed `picsart_preflight` with a candidate object. Do NOT use it to discover which models exist (use `picsart_list_models`) or estimate cost (use `picsart_preflight`). Required input: `model` id. Example: `{ model: "flux-2-pro" }`. Returns `{ model, schema: { <paramName>: { type: "string"|"number"|"boolean"|"file", required?, default?, enum?, min?, max?, step?, label?, accept? } } }`. Read-only; spends no credits and works without authentication.

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• fluxink-mcp-chatgpt-show-style-canvas

  fci-mcp

  Open the FluxInk natural texture ink style capture canvas. The user draws a few sample characters in a personal handwriting style. The widget then renders the requested text as a PNG spritesheet IN THAT EXACT PERSONAL HANDWRITING STYLE. Output is a downloadable spritesheet of individual handwritten glyphs that can be used as an asset (for example with image generation). Use this when the user asks to render or generate text in a personal handwriting style. Use this when the user wants a personalized handwritten note, card, letter, invitation, journal entry, or signature line that should look hand written by the user. Use this when the user wants to capture, clone, or sample a personal handwriting style and reuse it. Do NOT use this when the user just wants handwriting recognized (call show_handwriting_canvas instead). Do NOT use this for generic decorative handwritten fonts, calligraphy art, or AI generated script unrelated to the personal writing of the user. Do NOT use this to read text from an existing photo of handwriting (call recognize_image instead). Do NOT use this when the user wants a formatted document or layout (call create_layout instead). Do NOT use this for plain informational requests. Supports English and Chinese. Always pass the COMPLETE target text in the text parameter. Never truncate or abbreviate. Every character must appear in the spritesheet. Do NOT re-open if a FluxInk natural texture ink canvas is already visible from any earlier turn. Instead instruct the user to update the target text inside the existing widget. Only set force_new=true on an explicit user request for a brand new style canvas. After calling, write a single short acknowledgement and do NOT describe the UI. Once the user saves the spritesheet they can re-upload it for further design work.

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• lamina_generate_image

  lamina

  Dispatch a single atomic image generation. Sibling of `lamina_create` (the agentic router) — use this when you already know which model fits, or when no app fits the brief. WORKFLOW: (1) `lamina_models_list({ modality: "image" })` → pick a model. (2) `lamina_models_describe({ modelId })` → read its flat `paramSchema`. (3) `lamina_generate_image({ model, prompt, params })` → dispatch, get runId. (4) `lamina_status({ runId, wait: true })` → poll until completed; the response has `output.url`. ONE TOOL, BOTH OPERATIONS: • Text-to-image — call with just `prompt` (and any text-mode params). The model id you picked is the only thing that selects the operation. • Image-to-image (edit / remix / background-swap / etc.) — call the same tool, but include a source image in `params`. Hybrid models (nano-banana-pro, gpt-image-2, gemini-2.5-flash-image, seedream-4.5, flux-2-flex, nano-banana-2, gpt-image-1, gpt-image-1.5) flip to image-to-image automatically when `params.imageUrls` is a non-empty array (or `params.imageUrl` is set for single-source models like flux-pro-kontext). Edit-only models (bria-bg-remove, ideogram-character, ideogram-v3-remix/reframe/replace-background, flux-pro-kontext, ideogram-character-remix) only have image-to-image — `params.imageUrls`/`imageUrl` is required. INPUTS: • `model` (required): a model id from `lamina_models_list`. Don't invent it. • `prompt` (required for most models; check `paramSchema.prompt.required` from `lamina_models_describe`; absent from `paramSchema` for prompt-less models like `bria-bg-remove` and `ideogram-v3-reframe`): natural-language brief; ≤2000 chars. • `params` (model-specific): every key MUST be declared in the chosen model's `paramSchema` (call `lamina_models_describe` first). Unknown keys are rejected with a structured `invalid_params` error; each error has `field` + `allowed`/`range`/`got` so you can correct on retry. Omitted optional keys fall back to schema defaults. • `webhookUrl` (optional): HTTPS URL. On terminal status Lamina POSTs `{runId, status, model, prompt, resolvedParams, output, errorMessage, completedAt}` HMAC-signed. RESPONSE: `{runId, status: "queued"|"completed", model, mode, prompt, resolvedParams}`. `mode` is the resolved value ("text-to-image" | "image-to-image"). The `runId` is the fal_request_id — pass it to `lamina_status`. SYNC vs ASYNC: identical contract. Vertex-backed models (`imagen-4.0-*`, `gemini-2.5-flash-image`) complete in seconds and return `status: "completed"` on the first poll. fal-backed models queue and take 5–60s. `lamina_status({ wait: true })` handles both transparently. ERROR HANDLING: validation failures return `code` + `details.errors[]` with `field` + `error` + `allowed`/`range`/`got`. Common codes: `model_not_supported`, `mode_not_supported`, `invalid_params`, `dispatch_failed`.

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• brand_report

  Colour Memory

  One-call complete brand colour intelligence report. Input: hex + brand context + markets + medium + product type. Output: archive anchor, cliche contradiction, colour DNA, strategy verdict, commercial signals, market reading per market, usage rules, palette roles, ecommerce copy, memory hooks, Instagram caption, and Midjourney/Flux/DALLE agent brief. Runs entirely internally -- no chained calls, cannot be blocked by agent safety filters. Use this instead of chaining colour_strategy + cliche_breaker + ecommerce_product_copy + memory_hooks + agent_brief separately. Two Claude calls total. One complete response.

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• picsart_generate

  Picsart GenAI

  Runs any Picsart AI model end-to-end to produce an image, video, audio, or text result. Spends credits. Recommended flow: `picsart_list_models` to pick the model → `picsart_model_params` to learn its inputs → `picsart_preflight` to validate the payload and quote cost → `picsart_generate` to actually run. Do NOT use this for editing operations that have dedicated tools — background removal (`picsart_remove_bg`), background replacement (`picsart_change_bg`), upscale / enhancement (`picsart_enhance`), or raster-to-SVG conversion (`picsart_vectorize`). Also do NOT use it to validate params, quote cost, or browse the catalog — those are separate tools above. Required inputs: `model` (id) and `prompt`. Model-dependent optional inputs: `duration` (video seconds), `aspectRatio` (e.g. "16:9", "9:16", "1:1"), `resolution` (e.g. "1080p", "4k"), `count` (1–8 outputs), `quality`, `style`, `negativePrompt`, `imageUrls` (for image-to-X models), `videoUrl` (for video-to-X), `enhancePrompt`, `generateAudio`, and `extra` — a free-form record for model-specific params (discover them via `picsart_model_params`). Example (image): `{ model: "flux-2-pro", prompt: "a cat in a hat", aspectRatio: "16:9", count: 1 }`. Example (video): `{ model: "kling-v3-pro", prompt: "a cat skiing down a mountain", duration: 5, aspectRatio: "16:9" }`. Returns `{ assets, id, model, created_at, prompt, summary, why_relevant, url, results: [{ url, metadata? }], drive? }` in structured content, plus one `resource_link` block per result URL — image models emit image links, video models emit video links (mime `video/mp4`). `id` is the SDK's generation handle; `metadata` may include model-specific tags (e.g. `exploreImageId` for Recraft Explore models). Text/LLM models (mode "text" in the catalog — e.g. gemini-3-pro, gpt-5.5, claude-*) run synchronously (`async` is ignored) and return the generated text as the text content block plus `text` in structured content. ChatGPT renders images and videos with the Picsart media gallery UI; clients fetch the assets from URLs, never base64. Spends credits and writes to the user's Picsart Drive when the Drive option is enabled. Requires Authorization: Bearer <picsart_token>.

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• picsart_preflight

  Picsart GenAI

  Free pre-flight check before `picsart_generate`: in ONE call it (1) validates a candidate params object against the model's parameter schema + inter-parameter constraints, and (2) quotes the credit cost — without running the model or charging the user. Use this after assembling params (user input, derived defaults, model swaps) and before generating, to surface bad arguments and show cost. Do NOT use it to look up which params a model accepts (use `picsart_model_params`) or to actually generate (use `picsart_generate`). Required inputs: `model` id and a `params` object (put the `prompt` inside `params`). Example: `{ model: "flux-2-pro", params: { prompt: "a cat in a hat", aspectRatio: "16:9", count: 1 } }`. Returns `{ model, valid, errors?, credits }`: `valid`/`errors` are from local validation (always present, no auth needed; `errors` only when invalid); `credits` is the dry-run cost (a number), or `null` when pricing is unavailable or the request is unauthenticated.

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• fluxink-mcp-chatgpt-show-handwriting-canvas

  fci-mcp

  Open the FluxInk handwriting recognition canvas. The user draws freehand strokes with a stylus, finger, or mouse. The strokes are converted by one of two model families: general recognition for handwriting, math, and chemical formulas, or structure recognition for molecular structures. Use this when the user asks to handwrite, draw, sketch, ink, scribble, or scrawl something. Use this when the user wants to draw a math equation, chemical formula, or molecular structure rather than type it. Use this when the user asks for a canvas, drawing pad, handwriting input box, or whiteboard. Use this when the user wants to convert stylus or finger drawings into recognized text or markup. Do NOT use this when the user types a question, equation, or formula in chat and just wants an answer. Do NOT use this when the user uploads or references an existing image of handwriting (call recognize_image instead). Do NOT use this when the user wants a formatted document, study sheet, or layout PDF (call create_layout instead). Do NOT use this when the user wants text rendered in a personal handwriting style (call show_style_canvas instead). Do NOT use this for conversational or informational requests that need no ink input. Do NOT re-open if a FluxInk handwriting canvas is already visible from any earlier turn. Instead instruct the user to keep drawing on the existing canvas. Only set force_new=true when the user explicitly asks for a brand new, fresh, or blank canvas. Always pass the original chat message in the prompt parameter so context is preserved after recognition. After calling, write a single short acknowledgement and do NOT describe the canvas UI.

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• fluxink-mcp-chatgpt-create-layout

  fci-mcp

  FluxInk document layout generator. Transform raw text content into a structured PDF using one of seven study or work templates, then preview it in an embedded PDF viewer widget. Supported layout_type values. cornell is the Cornell note taking layout with cue, notes, and summary. bullet_points is a clean bulleted summary. zettelkasten is atomic linked notes. journalism_5w1h is who, what, when, where, why, and how. meeting_add is a meeting agenda plus action items. sq3r is Survey, Question, Read, Recite, Review study notes. pso is Problem, Solution, Outcome. Use this when the user asks for a Cornell sheet, bulleted summary, Zettelkasten card, 5W1H breakdown, meeting agenda or minutes, SQ3R study sheet, or PSO writeup. Use this when the user wants to turn raw notes, lecture transcript, or source material into a printable PDF or formatted study sheet. Use this when the user asks for a downloadable PDF document of their content. Do NOT use this when the user just asks for a plain summary in chat. Give it inline. Do NOT use this when the user wants to handwrite or draw something. Call show_handwriting_canvas instead. Do NOT use this when the user wants text in a personal handwriting style. Call show_style_canvas instead. Do NOT use this for plain informational requests with no document generation intent. Always pass the source material verbatim in the content parameter. Do NOT pre summarize. The layout engine handles structuring. Pick the layout_type that best matches the stated purpose. If unclear, ask one short clarifying question instead of guessing. Do NOT re-call if a layout PDF is already visible from a previous turn unless the user explicitly asks for a different layout, different content, or a regeneration. After calling, write a single short acknowledgement and do NOT restate the PDF content.

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• fluxink-mcp-chatgpt-recognize-handwriting

  fci-mcp

  Internal FluxInk handwriting recognition execution endpoint. Invoked ONLY by the handwriting canvas widget when the user finishes drawing. Do NOT call this tool directly from chat. To capture handwriting from the user, call show_handwriting_canvas instead. This endpoint requires a JSON stroke payload that only the widget can produce.

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• brand_report

  Colour Memory

  One-call complete brand colour intelligence report. Input: hex + brand context + markets + medium + product type. Output: archive anchor, cliche contradiction, colour DNA, strategy verdict, commercial signals, market reading per market, usage rules, palette roles, ecommerce copy, memory hooks, Instagram caption, and Midjourney/Flux/DALLE agent brief. Runs entirely internally -- no chained calls, cannot be blocked by agent safety filters. Use this instead of chaining colour_strategy + cliche_breaker + ecommerce_product_copy + memory_hooks + agent_brief separately. Two Claude calls total. One complete response.

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• space_weather

  dynamic-feed

  Full space-weather now-cast (NOAA SWPC) — the NOAA R/S/G storm scales (radio blackout / radiation storm / geomagnetic storm), geomagnetic Kp index, solar wind (speed, density, and Bz — the storm driver), the latest solar X-ray flux / flare, and an aurora-visibility hint. Affects satellite comms & drag, GPS accuracy, HF radio, power grids, and the radiation/power environment for orbital compute. Use for "is there a geomagnetic/solar storm right now". Every value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required.

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• fluxink-mcp-chatgpt-recognize-image

  fci-mcp

  FluxInk image text recognition. Extract text from an EXISTING image (file upload, URL, or base64) the user provides. Higher accuracy than built in vision for tightly packed text, multi language documents, math, and LaTeX. Returns per region confidence and detection coordinates. Use this when the user uploads, attaches, or shares an image containing text they want extracted (screenshot, photo, scanned document, receipt, sign, whiteboard, book page, photographed handwritten notes). Use this when the user wants a photographed math expression or chemistry formula converted to LaTeX. Use this when the user references an image and asks to read, transcribe, or digitize the text in it. Do NOT use this when the user has NOT provided an image yet. Do NOT use this when the user wants to draw or handwrite something fresh (call show_handwriting_canvas instead). Do NOT use this when the request is a plain text question, summary, or explanation with no image attached. The language parameter selects the recognition mode. en is English text (default). zh is Chinese text. paddle is multilingual or mixed text. formula is mathematics. latex returns raw LaTeX markup. After returning results, present the extracted text clearly and offer follow up actions like translation, summarization, or editing.

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• agent_brief

  Colour Memory

  Generate a complete colour direction package for another AI agent or image generation model. Fetches a historically grounded archive palette from the concept, then produces: an agent brief (colour direction in prose), colour tokens with hex values and roles, a model-specific image generation prompt, a negative prompt, and lighting notes. Supports midjourney, flux, dalle, stable_diffusion. Example: task='luxury hotel bedroom', concept='Ottoman winter luxury', model='midjourney'. Use this to make Colour Memory the colour layer for other AI systems.

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• fluxink-mcp-chatgpt-synthesize-handwriting-style

  fci-mcp

  Internal FluxInk natural texture ink execution endpoint. Invoked ONLY by the style canvas widget when the user clicks Generate. Do NOT call this tool directly from chat. To render text in the personal handwriting style of the user, call show_style_canvas instead. This endpoint requires JSON encoded style strokes captured by the widget.

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• agent_brief

  Colour Memory

  Generate a complete colour direction package for another AI agent or image generation model. Fetches a historically grounded archive palette from the concept, then produces: an agent brief (colour direction in prose), colour tokens with hex values and roles, a model-specific image generation prompt, a negative prompt, and lighting notes. Supports midjourney, flux, dalle, stable_diffusion. Example: task='luxury hotel bedroom', concept='Ottoman winter luxury', model='midjourney'. Use this to make Colour Memory the colour layer for other AI systems.

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• agent_brief

  Colour Memory

  Generate a complete colour direction package for another AI agent or image generation model. Fetches a historically grounded archive palette from the concept, then produces: an agent brief (colour direction in prose), colour tokens with hex values and roles, a model-specific image generation prompt, a negative prompt, and lighting notes. Supports midjourney, flux, dalle, stable_diffusion. Example: task='luxury hotel bedroom', concept='Ottoman winter luxury', model='midjourney'. Use this to make Colour Memory the colour layer for other AI systems.

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• brand_report

  Colour Memory

  One-call complete brand colour intelligence report. Input: hex + brand context + markets + medium + product type. Output: archive anchor, cliche contradiction, colour DNA, strategy verdict, commercial signals, market reading per market, usage rules, palette roles, ecommerce copy, memory hooks, Instagram caption, and Midjourney/Flux/DALLE agent brief. Runs entirely internally -- no chained calls, cannot be blocked by agent safety filters. Use this instead of chaining colour_strategy + cliche_breaker + ecommerce_product_copy + memory_hooks + agent_brief separately. Two Claude calls total. One complete response.

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