Meshy (3D AI) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 17 tools to Analyze Printability, Create Animation, Create Image To 3d, and more

Name: Meshy (3D AI)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Meshy (3D AI) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Meshy (3D AI) MCP Server for OpenAI Agents SDK is a standout in the Design Creative category — giving your AI agent 17 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Meshy (3D AI) Assistant",
            instructions=(
                "You help users interact with Meshy (3D AI). "
                "You have access to 17 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Meshy (3D AI)"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Meshy (3D AI) MCP Server

Connect Meshy to your AI agent to bridge the gap between 2D concepts and 3D reality. This server allows you to generate, refine, and optimize professional-grade 3D meshes using industry-leading AI models.

The OpenAI Agents SDK auto-discovers all 17 tools from Meshy (3D AI) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Meshy (3D AI), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Text to 3D Generation — Create 3D previews from simple text prompts and refine them into fully textured models with PBR maps.
Image to 3D Conversion — Turn single or multiple reference images (up to 4 angles) into detailed 3D objects automatically.
Advanced Retexturing — Apply entirely new styles to existing 3D models using text or image guidance while maintaining geometry.
Mesh Optimization — Use the remeshing tools to adjust topology (triangles or quads) and target specific polycounts for games or web apps.
Asset Management — List, retrieve, and manage your generation tasks and 3D assets through a unified interface.

The Meshy (3D AI) MCP Server exposes 17 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 17 Meshy (3D AI) tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Meshy (3D AI) through Vinkius, your AI agent gets direct access to every tool listed below — spanning 3d-modeling, generative-ai, text-to-3d, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

analyze

Analyze printability on Meshy (3D AI)

Analyze 3D Printability

create

Create animation on Meshy (3D AI)

Create an Animation task

create

Create image to 3d on Meshy (3D AI)

Create an Image to 3D task

create

Create image to image on Meshy (3D AI)

Create Image to Image task

create

Create multi color print on Meshy (3D AI)

Create Multi-Color Print

create

Create multi image to 3d on Meshy (3D AI)

Create a Multi-Image to 3D task

create

Create remesh on Meshy (3D AI)

Create a Remesh task

create

Create retexture on Meshy (3D AI)

Create a Retexture task

create

Create rigging on Meshy (3D AI)

Create a Rigging task

create

Create text to 3d preview on Meshy (3D AI)

This is the first step in the Text to 3D workflow. Create a Text to 3D preview task

create

Create text to 3d refine on Meshy (3D AI)

This is the second step in the Text to 3D workflow. Create a Text to 3D refine task

create

Create text to image on Meshy (3D AI)

Create Text to Image task

delete

Delete text to 3d task on Meshy (3D AI)

Delete a Text to 3D task

get

Get balance on Meshy (3D AI)

Get account balance

get

Get text to 3d task on Meshy (3D AI)

Get a Text to 3D task by ID

list

List text to 3d tasks on Meshy (3D AI)

List Text to 3D tasks

repair

Repair printability on Meshy (3D AI)

Repair 3D Printability

Connect Meshy (3D AI) to OpenAI Agents SDK via MCP

Follow these steps to wire Meshy (3D AI) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 17 tools from Meshy (3D AI)

Why Use OpenAI Agents SDK with the Meshy (3D AI) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Meshy (3D AI) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Meshy (3D AI) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Meshy (3D AI) MCP Server delivers measurable value.

Automated workflows: build agents that query Meshy (3D AI), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Meshy (3D AI), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Meshy (3D AI) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Meshy (3D AI) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Meshy (3D AI) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Meshy (3D AI) immediately.

"Create a 3D preview of a futuristic cyberpunk motorcycle."

"Generate a 3D model from this image: https://example.com/character.png"

"List my recent 3D generation tasks."

Troubleshooting Meshy (3D AI) MCP Server with OpenAI Agents SDK

Common issues when connecting Meshy (3D AI) to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Meshy (3D AI) + OpenAI Agents SDK FAQ

Common questions about integrating Meshy (3D AI) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Explore More MCP Servers

View all →

Griffin

12 tools

Manage your banking & fintech operations via Griffin — list accounts, monitor transactions, and handle verifications via AI.

Integrate.io (ETL & Data Integration)

6 tools

Manage data pipelines via Integrate.io — list pipelines, monitor job runs, and audit data transformations.

Bright Data

10 tools

Access the world's #1 web data platform — bypass anti-bot protections, extract structured search engine data, and manage scraping browsers directly from your AI agent.

Eurostat Trade — EU International Commerce

5 tools

EU international trade data: imports and exports by partner country and product classification (SITC), industrial production index, retail trade volume, and services sector statistics for all 27 EU member states.