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Pixazo 3D MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Pixazo 3D through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Pixazo 3D, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Pixazo 3D
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* 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.

The Vercel AI SDK gives every Pixazo 3D tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI SDK 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 Vercel AI SDK via MCP

Follow these steps to integrate the Pixazo 3D MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 12 tools from Pixazo 3D and passes them to the LLM

Why Use Vercel AI SDK with the Pixazo 3D MCP Server

Vercel AI SDK provides unique advantages when paired with Pixazo 3D through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Pixazo 3D integration everywhere

03

Built-in streaming UI primitives let you display Pixazo 3D tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Pixazo 3D + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Pixazo 3D MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Pixazo 3D in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Pixazo 3D tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Pixazo 3D capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Pixazo 3D through natural language queries

Pixazo 3D MCP Tools for Vercel AI SDK (12)

These 12 tools become available when you connect Pixazo 3D to Vercel AI SDK via MCP:

01

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

02

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

03

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

04

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

05

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

06

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)

07

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

08

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

09

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

10

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

11

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

12

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 Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Pixazo 3D immediately.

01

"Generate a 3D model of a running shoe from this product image: https://example.com/shoe.jpg"

02

"Create a low-poly 3D tree for my mobile game from this reference image."

03

"Generate an anime-style 3D character from this concept art."

Troubleshooting Pixazo 3D MCP Server with Vercel AI SDK

Common issues when connecting Pixazo 3D to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Pixazo 3D + Vercel AI SDK FAQ

Common questions about integrating Pixazo 3D MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Pixazo 3D to Vercel AI SDK

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.