"3D content, models, or technology" matching MCP servers:

Enables searching, comparing, and inspecting AI models by pricing, context window, and capabilities via the models.dev catalog.

Classifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding tasks.

A universal Model Context Protocol implementation that serves as a semantic layer between LLMs and 3D creative software, providing a standardized interface for interacting with various Digital Content Creation tools through a unified API.

Enables coding agents to visually inspect and diagnose 3D files (meshes and Gaussian splats) for defects like flipped normals or floaters, without GPU dependencies.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

Enables AI agents to manage multiple 3D printers via MCP, including monitoring temperatures and progress, uploading and slicing models, controlling prints, and viewing cameras.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

MCP server that parses source code into a graph of symbols and relationships, enabling code structure visualization and blast radius analysis via interactive 3D force-graph.

Turns product ideas into rendered UI screen mockups and a buildable component manifest, so downstream agents can develop real screens from the generated designs.

MCP server that lists available GitHub Models and compares responses from multiple models for the same prompt.

An MCP server that wraps the @apitomy/data-models library for querying, validating, and editing OpenAPI and AsyncAPI documents.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

Enables AI-driven 3D model generation and manipulation using OpenSCAD through natural language commands. Users can create primitives, apply transformations, perform boolean operations, and export models to various formats like STL and OBJ.

MCP server for content-studio, enabling AI agents to manage content ideas, channels, personas, and drafts with approval-based edits.

Lets a content team edit a GitHub-hosted website's Markdown pages and blog posts through Claude, with each change validated and committed to a staging branch. Editors can preview, publish live, or discard changes, while code checks block edits that would break the site.

Enables AI assistants to search many 3D asset sites at once, inspect licences and metadata, and download selected models, materials, textures, HDRIs, or game asset packs directly into a project.

A local Model Context Protocol server that turns one or more reference images into 3D GLB assets, with pluggable backends for Hunyuan3D-2mv, Stable Fast 3D, and SPAR3D.

Enables AI agents to look up facts about notable machine-learning models — organization, release date, parameter count, training-compute (FLOP) estimate, hardware and accessibility — by name, and to search or aggregate them by organization, domain, year, or compute threshold. Supports filtering the dataset newest-first and producing per-year training-compute trends, keylessly and without authentication.

MCP server for generating print-ready 3D models from text descriptions via a multi-agent pipeline, enabling AI assistants to create and optimize STL files.

An MCP server that helps interact with and compare different GitHub Models, enabling listing, filtering, and comparing model responses.