Pixazo 3D MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Pixazo 3D through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"pixazo-3d": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Pixazo 3D Agent",
instructions:
"You help users interact with Pixazo 3D " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Pixazo 3D?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Pixazo 3D tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Pixazo 3D MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 12 tools from Pixazo 3D via MCP
Why Use Mastra AI with the Pixazo 3D MCP Server
Mastra AI provides unique advantages when paired with Pixazo 3D through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Pixazo 3D without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Pixazo 3D tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Pixazo 3D + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Pixazo 3D MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Pixazo 3D, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Pixazo 3D as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Pixazo 3D on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Pixazo 3D tools alongside other MCP servers
Pixazo 3D MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Pixazo 3D to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Pixazo 3D to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPixazo 3D + Mastra AI FAQ
Common questions about integrating Pixazo 3D MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Pixazo 3D with your favorite client
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Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Pixazo 3D to Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.