How to Use the Meshy (3D AI) MCP in CrewAI

Q: How do my CrewAI agents coordinate when building models with Meshy (3D AI)?

One agent runs createtextto3dpreview to get the task ID, then writes it to the shared memory of the MCP Server. A second agent polls gettextto3dtask to check when the asset is ready for texturing.

Q: Can a CrewAI agent manage my generation budget using Meshy (3D AI)?

Yes. You can assign a manager agent to run getbalance before assigning tasks. If the credits are too low, the manager pauses the crew and alerts your team.

Q: How do I clean up Meshy (3D AI) models within a CrewAI pipeline?

Have your QA agent run createremesh on every generated model. This cleans up the edge loops and polygon distribution before the asset is sent to the animation team.

Q: Can my crew generate models from concept sketches?

Yes. Your concept agent runs createimageto3d using a sketch via the MCP Server. The rest of the crew then takes over to texture, rig, and animate the model automatically.

Run a crew of specialized 3D artists using CrewAI and this MCP Server.

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Connect Meshy (3D AI) MCP to CrewAI

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Setup Meshy (3D AI) with CrewAI

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Multi-agent 3D asset generation

`create_text_to_3d_preview` allows your concept artist agent to quickly generate initial shapes based on game design documents. The agent evaluates the low-poly result and passes it to the lead modeler agent for review. The lead modeler agent then calls `create_text_to_3d_refine` to add high-fidelity details. CrewAI's shared memory ensures the prompt context carries over perfectly between agents.

Multi-agent MCP Server texturing teams

`create_retexture` is executed by your texturing agent to apply cohesive color palettes across an entire set of assets. The agent references a central style guide to keep the visual tone consistent. If the texture needs fine-tuning, the agent runs `create_image_to_image` to modify specific patterns. This setup allows your crew to texture hundreds of background props autonomously.

Automated printing and rigging pipelines

`create_rigging` is used by your animator agent to prepare generated meshes for movement. The agent automatically runs this tool as soon as the modeler agent finishes refining the geometry. For physical merchandising, your production agent runs `analyze_printability` followed by `repair_printability` to guarantee the mesh prints without errors. This ensures your digital assets are immediately ready for physical production.

Setup guide

Set up Meshy (3D AI) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Meshy (3D AI) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Meshy (3D AI) Analyst",
    goal="Access and analyze Meshy (3D AI) data via MCP.",
    backstory="Expert analyst with direct Meshy (3D AI) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Meshy (3D AI) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Meshy (3D AI) Analyst",
        goal="Access and analyze Meshy (3D AI) data via MCP.",
        backstory="Expert analyst with direct Meshy (3D AI) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Meshy (3D AI) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Meshy. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Meshy (3D AI) MCP in CrewAI

One agent runs `create_text_to_3d_preview` to get the task ID, then writes it to the shared memory of the MCP Server. A second agent polls `get_text_to_3d_task` to check when the asset is ready for texturing.

Yes. You can assign a manager agent to run `get_balance` before assigning tasks. If the credits are too low, the manager pauses the crew and alerts your team.

Have your QA agent run `create_remesh` on every generated model. This cleans up the edge loops and polygon distribution before the asset is sent to the animation team.

Yes. Your concept agent runs `create_image_to_3d` using a sketch via the MCP Server. The rest of the crew then takes over to texture, rig, and animate the model automatically.

Your 3D models and textures are processed in secure, short-lived V8 sandboxes. Vinkius manages the credentials, so your raw files are never exposed to external networks or stored permanently.

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