"Tools or methods for generating 3D assets" matching MCP servers:

Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.

Enables generating game assets — images, 3D meshes, sound and music — through free Hugging Face Spaces with no GPU or subscription, plus procedural synthesizers that consume no quota at all. Adds licence gating, per-take provenance metadata, and post-processing such as audio trimming/looping/normalising and six-angle Blender mesh renders.

Recommends study designs for a research question, states the identifying assumptions to verify, and returns runnable R, Python, or Julia code with a formatted citation for every source, drawn from methodological textbooks, an R package, and research articles on causal inference, econometrics, statistics, and machine learning.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Generates mock 2D PNG assets for game prototypes, supporting gradients, patterns, text, spritesheets, and embedded metadata.

Generates and transforms Expo assets (icons, splash, adaptive icons) from source images. Also includes image transformation and SVG conversion tools.

Enables AI assistants to search and browse Jira Service Management Assets data using AQL queries, schema exploration, and hierarchical object searches. It features robust automatic pagination to ensure reliable retrieval of complete asset datasets.

Enables AI agents to generate dimensionally accurate mechanical parts (gears, enclosures, brackets, assemblies) in headless Blender from plain-English specs or JSON parameters, then verify them against manifold, bounding-box and print-production gates and export glTF/STL assets. It also scaffolds interactive Three.js CAD viewer pages with orbit controls, wireframe toggles and exploded-view scrubbing.

Enables to create, iterate, and export 3D models through natural language conversations with an LLM by bundling OpenSCAD via WebAssembly for zero-setup 3D modeling.

Open-source home design and floor plan editor for AI agents: draw walls and rooms, place furniture, doors and windows, build kitchens and wardrobes, check lighting, ergonomics, electrical and plumbing against building codes, and render the plan, 3D views or photorealistic images. Runs in the desktop app, the browser or the hosted server, and every change can be undone.

Provides a secure interface to Adobe Substance 3D Designer, enabling read and write operations on graphs, nodes, and packages through the MCP protocol.

Enables interaction with 3D printer management systems through an MCP server, supporting STL file manipulation, slicing, and control of printers like OctoPrint, Klipper, Duet, and more.

An MCP server that exposes 218 Blender tools for full 3D modeling pipelines, with a LangGraph agent layer for planning, executing, observing, and reviewing modeling tasks with evidence-based verification.

An MCP server for AI image generation with dual-provider support for OpenAI-compatible models and Google Gemini. It returns standard MCP ImageContent blocks.

Educational tools agent by Birkan Yavuz — an A2A + MCP server for classroom tools, with creator attribution in every result. It offers a catalog of 24 real classroom activities, including math visualizers and reading and sight-word tools.

Enables deterministic calculations for AI API and subscription costs, meeting time zones, recurring schedules, and cron next-run previews, returning normalized inputs, units, assumptions, dated sources, and links to results.

MCP server for personal knowledge management providing AI-powered tools for semantic search, audio transcription, image generation, and PPT creation.

Enables generating JSON Schema from sample data, generating TypeScript types, validating data against schemas, creating mock data from schemas, and comparing schemas for differences.

Webhook management and testing tools for AI agents. Provides tools for sending, validating, generating, and debugging webhooks.

Provides five safe tools (calc, search, model_drift, compare_runs, grade_answer) for arithmetic, keyword search, model drift monitoring, eval comparison, and answer grading against sources, all implemented directly from the MCP spec with zero dependencies.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

An MCP server that provides a persistent sandbox for AI coding agents to explore codebases server-side, returning only compact summaries to reduce context consumption.

Enables natural-language interaction with Ladybug Tools for building performance simulation, 3D modeling, and data visualization, allowing agents to perform complex environmental analysis tasks without CAD software.

Enables extraction of recipes from PDFs or JPG files and conversion into structured HTML, with interactive region selection and OCR via a web GUI.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

Extracts embedded PBR texture images from local GLB 2.0 files, splitting packed metallic-roughness maps into grayscale roughness and metallic PNGs while preserving base color and normal images.

Enables agents to compress JPEG, PNG, and WebP images to a target byte size, split PDFs by page or ranges, and remove image metadata while processing local files without sending file bytes over the network.

An MCP server that enables AI assistants to generate and edit professional web assets using OpenRouter's Nano Banana Pro image generation model, with support for asset packs, brand consistency, and advanced image editing.

Inspect, compare and export point clouds, meshes and calibrated depth data through MCP, with interactive inline 3D previews and PNG captures. Supports camera controls, selections, measurements, object transforms and animation playback.

Enables an AI assistant to control a Hyprland/Wayland Linux desktop through 178 tools across 30 categories, covering audio, window and workspace management, themes and wallpapers, screenshots and recording, Bluetooth, media playback, notifications, system stats, and chained multi-step macros. Everything runs locally via hyprctl, PipeWire, and standard Linux utilities, with no cloud dependencies.