"A guide to creating 3D models in Blender" 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.

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.

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.

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.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables AI assistants to generate 3D product viewers, AR try-on experiences, Shopify integrations, and SEO metadata for e-commerce stores.

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

MCP server for amazon.in — cheapest in-stock, best-value picks, and price history links.

Enables comprehensive control of Blender 3D from Claude Desktop, offering 26 tools for object manipulation, scene management, and material editing. It supports asset integration from platforms like Poly Haven and allows for direct execution of custom Python scripts within the Blender environment.

An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.

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.

Enables AI-driven 3D modeling in Blender by providing tools to create primitives, apply modifiers and materials, set up lighting and cameras, capture viewport snapshots, export assets, inspect scenes, and execute Python commands via natural language.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Provides comprehensive design principles and best practices to help LLMs generate modern, accessible web pages through guidance on layouts, colors, and typography. It enables users to review design approaches and access expert recommendations for responsive design, component structure, and current industry trends.

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.

Enables AI agents to procedurally design and render stylized 2:1 dimetric isometric game assets in Blender, including NPR cel-shaded scenes, modular tilesets, 8-angle avatar turnarounds, and mathematically exact subpixel collision diamonds, with turnkey engine manifests for Phaser, Godot 4, and retro web games.

Enables processing, validation, optimization, and analysis of 3D models with glTF/GLB support, including format conversion, compression (Meshopt/Draco), texture optimization, and detailed model statistics.

Enables an Alexa+ host to place and manage customer-care calls by building a case, navigating phone menus, waiting on hold, explaining the issue, guarding sensitive disclosures, handing off identity checks, recording ticket numbers and promises, and scheduling follow-ups.

Guides users to official WCAG and W3C resources for learning web accessibility, without providing its own explanations.

Improves AI agent task performance by providing task area segmentation, hierarchical RAG, and hybrid search capabilities.

Enables any MCP client to drive the user's real Chrome profile through a Chrome extension bridge, with tools for navigation, accessibility snapshots, ref-based interactions, console/network reading, screenshots, tab management, and restricted script evaluation.

Enables AI tools to understand a database, inspect schema, and run safe SELECT queries with SQL guardrails, plus optional codebase reading.

Enables to perform mathematical calculations, retrieve weather information, and manage files through a standardized MCP interface, showcasing best practices for building MCP servers.

Enables Codex to rank available tools and skills, rerank code and documentation search results, and triage saved output artifacts using Jev-based relevance scoring while leaving final decisions to Codex.

Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.

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.