Pixazo 3D MCP Server for Claude Code 12 tools — connect in under 2 minutes
Claude Code is Anthropic's agentic CLI for terminal-first development. Add Pixazo 3D as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.
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The modern way to manage MCP Servers — no config files, no terminal commands. Install Pixazo 3D and 2,500+ MCP Servers from a single visual interface.
# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add pixazo-3d --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Pixazo 3D MCP Server
Connect your Pixazo 3D API to any AI agent and take full control of production-quality 3D asset generation from images and text through natural conversation.
Claude Code registers Pixazo 3D as an MCP server in a single terminal command. Once connected, Claude Code discovers all 12 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Pixazo 3D data drives decisions without human intervention.
What you can do
- Hunyuan 3D — Generate high-fidelity 3D models from images with Tencent Hunyuan technology
- Hyper3D — Create detailed 3D models with high-fidelity geometry and texture reproduction
- Tripo3D — Fast 3D generation optimized for speed and quick previews
- Trellis3D — Generate structured 3D models with clean topology for editing and animation
- Text to 3D — Create 3D models directly from text descriptions with style control
- Image to 3D — Convert any image to a 3D model with the optimized Pixazo pipeline
- Styled 3D — Generate 3D models in specific artistic styles (photorealistic, anime, cartoon, low-poly)
- Low-Poly 3D — Create optimized low-poly models for real-time games and mobile applications
- Rigged 3D — Generate 3D characters with automatic skeletal rigging for animation
- PBR Textures — Generate 3D models with full PBR texture maps (albedo, normal, roughness, metallic, AO)
- Format Conversion — Convert 3D models between GLB, OBJ, FBX, GLTF, USDZ, 3DS, and DAE formats
- Mesh Optimization — Optimize 3D meshes for performance and file size reduction
The Pixazo 3D MCP Server exposes 12 tools through the Vinkius. Connect it to Claude Code in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Pixazo 3D to Claude Code via MCP
Follow these steps to integrate the Pixazo 3D MCP Server with Claude Code.
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
Add the MCP Server
Run the command above in your terminal
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
Start using Pixazo 3D
Ask Claude: "Using Pixazo 3D, show me...". 12 tools are ready
Why Use Claude Code with the Pixazo 3D MCP Server
Claude Code provides unique advantages when paired with Pixazo 3D through the Model Context Protocol.
Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
Claude Code runs headlessly, enabling unattended batch processing using Pixazo 3D tools in cron jobs or deployment scripts
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
Pixazo 3D + Claude Code Use Cases
Practical scenarios where Claude Code combined with the Pixazo 3D MCP Server delivers measurable value.
CI/CD integration: embed Pixazo 3D tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query Pixazo 3D nightly and generate reports without human intervention
Shell scripting: pipe Pixazo 3D outputs into other CLI tools for data transformation, filtering, and aggregation
Infrastructure monitoring: run Claude Code in a cron job to query Pixazo 3D status endpoints and alert on anomalies
Pixazo 3D MCP Tools for Claude Code (12)
These 12 tools become available when you connect Pixazo 3D to Claude Code via MCP:
convert_3d_format
Preserves geometry, textures, materials, and rigging data during conversion. Essential for pipeline integration, platform compatibility, and format standardization. AI agents should use this when users ask "convert this GLB model to FBX", "change this 3D file to USDZ for AR", or need 3D format conversion for specific platform or software requirements. Convert 3D models between different file formats
generate_hunyuan_3d
Hunyuan excels at producing detailed geometry with accurate proportions and realistic textures from single or multiple reference images. Accepts image URLs or base64 image data. Returns 3D model files with PBR textures in formats like GLB, OBJ, or FBX. Essential for product visualization, character creation, and asset generation requiring high geometric accuracy. AI agents should use this when users need production-quality 3D models from product photos, concept art, or reference images with precise detail reproduction. Generate 3D models using Hunyuan 3D model from images
generate_hyper_3d
Hyper3D produces clean mesh topology with accurate surface details, making it ideal for game assets, AR/VR content, and e-commerce product displays. Accepts image URLs and returns downloadable 3D files. Essential for applications requiring precise geometry and professional-grade output quality. AI agents should reference this when users need high-detail 3D models suitable for game engines, product showcases, or professional 3D workflows. Generate detailed 3D models using Hyper3D model
generate_image_to_3d
Accepts product photos, concept art, sketches, or any reference image and generates a corresponding 3D model. Supports multiple output formats and quality settings. Essential for e-commerce product visualization, concept art to 3D conversion, and general image-to-3D workflows. AI agents should reference this when users ask "convert this product photo to 3D", "turn this sketch into a 3D model", or need reliable general-purpose image-to-3D conversion. Convert images to 3D models using Pixazo image-to-3D pipeline
generate_lowpoly_3d
Low-poly models use minimal polygons while maintaining recognizable shape, making them ideal for performance-critical applications. Accepts reference images and returns optimized meshes with controlled polygon counts. Essential for game development, mobile applications, web-based 3D viewers, and any scenario requiring efficient 3D rendering. AI agents should reference this when users need low-poly game assets, mobile-optimized 3D models, or performance-friendly 3D content. Generate low-poly 3D models optimized for real-time applications
generate_pbr_textures_3d
PBR textures ensure realistic material appearance under any lighting condition in game engines and 3D renderers. Accepts reference images and returns 3D models with texture map sets. Essential for game asset creation, product visualization requiring realistic materials, and applications needing physically accurate rendering. AI agents should reference this when users need game-ready assets with full PBR materials, product visualizations with realistic surface appearance, or models with complete texture map sets. Generate 3D models with full PBR texture maps (albedo, normal, roughness, metallic, AO)
generate_rigged_3d
Supports character models, creatures, and articulated objects. The generated rigs include bone hierarchies and weight painting suitable for standard animation workflows. Accepts character reference images and returns rigged 3D files. Essential for game character creation, animated content pipelines, and applications requiring animation-ready 3D assets. AI agents should use this when users ask "create an animated-ready 3D character", "generate a rigged model from this character image", or need animation-ready 3D output. Generate 3D models with automatic skeletal rigging for animation
generate_styled_3d
Users provide a reference image and select the desired output style. Essential for stylized game assets, anime character creation, cartoon visualization, and artistic 3D content. AI agents should use this when users ask "create an anime-style 3D character from this image", "generate a cartoon 3D model", or need stylized 3D output matching specific artistic direction. Generate 3D models with specific artistic styles
generate_text_to_3d
Users describe the desired 3D object in natural language and receive a generated model. Supports style modifiers, polygon count preferences, and format selection. Essential for concept exploration, rapid prototyping from descriptions, and applications where users describe rather than show what they want. AI agents should use this when users ask "create a 3D model of a fantasy sword", "generate a 3D tree from text", or need text-driven 3D generation. Generate 3D models directly from text descriptions
generate_trellis_3d
Trellis3D excels at creating models with well-distributed polygons and logical edge flow. Accepts image URLs and returns clean 3D meshes. Essential for character rigging preparation, animation-ready assets, and applications requiring well-organized mesh structure. AI agents should reference this when users need edit-friendly 3D models, animation-ready meshes, or assets with clean topology for downstream processing. Generate structured 3D models using Trellis3D with clean topology
generate_tripo_3d
Tripo3D is ideal for rapid prototyping, batch processing, and applications where generation time is important. Accepts image URLs and returns 3D models with reasonable geometry and textures. Essential for quick 3D previews, iterative design workflows, and content pipelines requiring fast turnaround. AI agents should use this when users need fast 3D generation, quick previews, or batch processing of multiple images. Generate 3D models using Tripo3D for fast generation
optimize_3d_mesh
Accepts existing 3D model URLs and returns optimized versions with controlled quality settings. Essential for web-based 3D applications, mobile optimization, file size reduction, and performance-critical 3D rendering. AI agents should reference this when users ask "optimize this 3D model for web", "reduce polygon count of this model", or need mesh optimization for performance or file size constraints. Optimize 3D meshes for performance and file size reduction
Example Prompts for Pixazo 3D in Claude Code
Ready-to-use prompts you can give your Claude Code agent to start working with Pixazo 3D immediately.
"Generate a 3D model of a running shoe from this product image: https://example.com/shoe.jpg"
"Create a low-poly 3D tree for my mobile game from this reference image."
"Generate an anime-style 3D character from this concept art."
Troubleshooting Pixazo 3D MCP Server with Claude Code
Common issues when connecting Pixazo 3D to Claude Code through the Vinkius, and how to resolve them.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
Pixazo 3D + Claude Code FAQ
Common questions about integrating Pixazo 3D MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.Connect Pixazo 3D with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Pixazo 3D to Claude Code
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.