"A tool for creating 3D models and animations" matching MCP tools:

• edit_scene

  Web3d-mcp

  Apply targeted modifications to an existing scene_data object. WHEN TO CALL: - After validate_scene returns is_valid: false - When the user requests a style, material, animation, or position change to an already-generated scene - Do NOT call this to create a new scene — use generate_scene instead WHAT THIS TOOL CAN MODIFY: - background: color and style preset - material: for all objects or a named object - animation: add or replace animations on objects - position: move a named object or the primary object - lighting: intensity adjustments (darker / lighter) - design_tokens: kept in sync with all changes automatically WHAT THIS TOOL CANNOT DO: - Add new objects to the scene (use generate_scene for this) - Remove existing objects (out of scope in current version) - Change camera position or FOV - Modify individual mesh geometry INPUT: - scene_data: the full scene_data object from generate_scene or a previous edit_scene call - edit_prompt: a plain-language description of the desired change EDIT PROMPT EXAMPLES: - "make it darker" → dims ambient lighting, deepens background - "make the material glass" → applies glass_frost to all objects - "add spinning motion" → appends rotate animation, keeps existing - "move the robot up" → moves object named "robot" up by 1 unit - "change animation to float only" → replaces all animations with float - "make it neon" → applies neon material + neon_edge lighting OUTPUT: - scene_data: updated scene with all changes applied - edit_summary: { applied[], skipped[], warnings[] } PIPELINE POSITION: generate_scene → validate_scene → [edit_scene if invalid] → validate_scene (re-run) → synthesize_geometry → generate_r3f_code

  Connector

• 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`.

  Connector

• get_quote

  PromptFax

  Fallback/non-widget tool for creating a user-reviewable pay-per-use fax quote when you have a fax number and either an MCP session, a PromptFax documentId, or one or more HTTPS PDF URLs. A quote is required before Stripe Checkout and before any real fax transmission. In ChatGPT widget sessions, do not call this after start_session because the widget auto-quotes once the document and destination are ready.

  Connector

• preview

  Web3d-mcp

  Preview a 3D scene before generating code. Returns two outputs: 1. An SVG wireframe — a 2D top-down orthographic view of all objects, lights, and camera frustum in the scene. 2. A structured text description — scene overview, object list, lighting summary, animation summary, and spatial validation checks. Use this tool AFTER generate_scene and BEFORE synthesize_geometry to validate that objects are correctly positioned, lights are placed, animations have valid targets, and no objects overlap. The spatial_validation section runs 6 automated checks and returns a confidence_score (0-10). If score < 7, fix the issues before proceeding to generate_r3f_code.

  Connector

• create_inference

  Retro Diffusion Pixel Art MCP

  Generate images using the public /v1/inferences endpoint. For the highest quality prefer RD Pro styles (rd_pro__*); they support reference_images for character/style consistency. For animation styles prefer start_inference_job + get_inference_job instead — animations are long-running. Use `input_image` for the main source image, `reference_images` for extra per-inference guidance, and `style_reference_images` only on create_user_style/update_user_style. The response excludes raw base64 image payloads to keep MCP outputs compact.

  Connector

• compute.models

  DPX — Institutional Cross-Border Settlement

  List all AI models available through DPX Compute. All models are free-tier (no token cost) — routed via OpenRouter. Returns model IDs, provider, capability strengths, context window, and speed tier. Use this before compute.route to understand what models are available and pick the right one for a task. Free.

  Connector

• free2aitools_compare

  Free2AITools

  Compare 2-25 AI catalog entities side-by-side — any catalog entity type (models, datasets, papers, tools), not models only — showing FNI scores, factor breakdown (Semantic, Authority, Popularity, Recency, Quality), specs (params, VRAM, context length) where applicable, and license. USE WHEN you already have 2+ specific entity ids and want a structured side-by-side. DO NOT USE to discover entities, to run/execute a model, or to get a recommendation; the tool presents comparison facts for the caller to decide on, is not an inference router, and returns no paid placement. Read-only, no side effects, no billing. Cold upper-range multi-paper requests may return a transient 503 (retry after the indicated delay). Use free2aitools_select_model or free2aitools_search to discover candidates first, then compare the top ones.

  Connector

• openmeteo_get_climate

  open-meteo-mcp-server

  Long-range climate projections from bias-corrected daily CMIP6 models, covering 1950-01-01 to 2050-12-31 at any coordinate. Answers "what will conditions look like through 2050?" — the future-projection counterpart to openmeteo_get_historical (ERA5, what happened). Daily resolution only. Available models: "CMCC_CM2_VHR4", "FGOALS_f3_H", "HiRAM_SIT_HR", "MRI_AGCM3_2_S", "EC_Earth3P_HR", "MPI_ESM1_2_XR", "NICAM16_8S". With 2+ models each variable appears once per model with the model name as suffix (e.g. temperature_2m_max_CMCC_CM2_VHR4); a single or omitted model returns plain variable names. Not all models carry all variables — missing combinations return null. Multi-decade daily pulls across several models produce thousands of records and spill to DataCanvas for SQL querying when canvas is enabled.

  Connector

• refine_prompt

  Web3d-mcp

  Refine a user's request for creating a 3D scene. Your job: - Understand the user's intent clearly - Identify the purpose (advertisement, website, showcase, etc.) - Extract typed design tokens - Detect if animation is implied Return these structured fields when possible: - use_case - theme / style - material_preset - animation - lighting_preset - background_preset - composition - confirmed_objects - object_hints - discarded_hints Rules: - Do NOT generate objects here - Do NOT create a scene - Only clarify and structure intent - Keep richer scene-object detail in confirmed_objects for downstream tools Return a refined prompt and structured context for the next step.

  Connector

• list_image_models

  FavCRM

  List AI image-generation models exposed to merchants (sanitized — provider/cost details hidden). Use to pick a `modelCode` for `generate_post_cover`.

  Connector

• get_map

  Emdb

  Get a single EMDB entry by its EMDB id (e.g. "EMD-1080"). Returns a trimmed record: title, sample, structure-determination method, resolution (Angstrom), and release date. EMDB holds 3D electron-microscopy density maps of proteins, complexes, and viruses. Keyless.

  Connector

• create_inference

  Retro Diffusion Pixel Art

  Generate images using the public /v1/inferences endpoint. For the highest quality prefer RD Pro styles (rd_pro__*); they support reference_images for character/style consistency. For animation styles prefer start_inference_job + get_inference_job instead — animations are long-running. Use `input_image` for the main source image, `reference_images` for extra per-inference guidance, and `style_reference_images` only on create_user_style/update_user_style. The response excludes raw base64 image payloads to keep MCP outputs compact.

  Connector

• get_job_result

  Sats4AI - Bitcoin-Powered AI Tools

  Retrieve the final output of a completed async job. Call ONLY after check_job_status returns status='completed' — calling on a non-completed job returns an error. Returns JSON whose shape depends on jobType: video/video-image → { videoUrl, duration }; image-3d → { modelUrl } (GLB format); transcription → { text, language, segments }; epub-audiobook → { audioUrl, chapters }; ai-call → { transcript, duration, summary }. All URLs are temporary (valid ~1 hour) — download immediately. This tool is free and does not require payment. Do NOT use for synchronous tools — those return results directly.

  Connector

• list_bots

  bots

  List the URBot catalog of 150+ trained vertical AI expert bots with slug, name, tagline, category, and price tiers (most bots start at $1). Optionally filter by category (e.g. education, health, finance, legal, technology, outdoor, 3d-modeling, game-dev, 3d-printing, media). Use the returned slug with get_bot, chat_with_bot, or get_skill. URBot bots keep your data yours - each one is downloadable and runs locally.

  Connector

• ic_resources_list

  Immersive Commons

  Returns the IC resources roster (3D printers, conference rooms, etc.) with status flags and bookability. Same data the public kiosk renders, plus a staleness gauge. Args: none. Required scope: resources:read.

  Connector

• kochava_free_app_analytics_get_tos

  Kochava for Advertisers — Official MCP Server

  Retrieve the FAA (Free App Analytics) Terms of Service document link. Use this tool when the user wants to review the Terms of Service before creating an FAA account. Returns a clickable link to the TOS document and instructions for account creation. Example: kochava_free_app_analytics_get_tos()

  Connector

• project_curve

  kernelcad

  Use this when you need to wrap a 2D curve onto a 3D face. Insert a `<shape>.projectCurve({ curve, face, scaleMode?, asEdge? })` chained call into a kernelCAD script. Wraps a 2D closed curve onto a 3D face along the face normal; pair with `.extrude(d)` / `.cut(...)` for engraved logos or label inserts on curved bodies. `asEdge: true` is captured but currently deferred at lower time (BRepProj_Projection not bundled). Side-effect-free; returns modified code plus diagnostics.

  Connector

• get_printyourduck_quote_requirements

  PrintYourDuck Quote

  Read public requirements for a PrintYourDuck manual custom 3D printing quote request. Use this before submit_quote_request to check accepted file types, material options, confirmations, restrictions, and the private-upload flow. Does not calculate instant pricing.

  Connector

• wavedash_get_agent_workflow

  Wavedash

  Return a concise end-to-end workflow for AI agents creating a browser game from scratch and preparing it for Wavedash upload. Read-only and unauthenticated; upload still happens through the Wavedash CLI or Developer Portal.

  Connector

• synthesize_geometry

  Web3d-mcp

  Explicitly request a synthesis contract for a named 3D object. Use this tool when generate_r3f_code returns status SYNTHESIS_REQUIRED, or to pre-generate geometry constraints before calling generate_r3f_code. Complexity tiers: low — 4 to 7 parts. Only Box, Sphere, Cylinder geometries. Best for: mobile banners, thumbnails, low-end devices. medium — 10 to 20 parts. Adds Capsule and Torus geometries. Best for: website sections, embedded widgets, tablets. high — 28+ parts. All geometries. Full emissive detail. Best for: hero sections, desktop showcase, ad campaigns. If target is set to "mobile" and complexity is not explicitly provided, complexity defaults to "low" automatically. This tool does NOT generate geometry. It returns the synthesis_contract with constraints calibrated to the requested complexity tier. The LLM generates the actual JSX and passes it to generate_r3f_code via synthesized_components.

  Connector