Connect Hyper3d Rodin Mcp to Ai Agents
Rodin MCP lets compatible AI clients submit 3D generation tasks, monitor progress, and receive download links in conversation. The guide covers server setup, authorization, clear prompts, billing workspace checks, troubleshooting, and protecting credentials or private references.
Connect Hyper3D Rodin MCP to AI Agents
Hyper3D Rodin MCP lets an MCP-compatible AI client submit a 3D generation, check its progress, and return a result link without leaving the conversation. The agent coordinates the workflow, while Rodin performs the modeling and texturing.
Connect the MCP server
Use the official MCP URL https://hyper3d.ai/features/mcp . Follow the client-specific setup on the Hyper3D MCP page, then complete browser authorization. During authorization, verify the Hyper3D account and select the workspace that should pay for generation.
Ask for one clear asset
Describe the subject, shape, material, style, and intended use. The current MCP workflow supports Rodin generation modes exposed by the integration, asynchronous progress checks, and a download link after completion. Availability can differ from the full web workspace or API.
Keep the Agent Workflow Reliable
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Confirm the active billing workspace before generating.
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Ask the client to check status instead of repeatedly starting new tasks.
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Download and inspect the asset before using it in production.
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Do not place API keys or private references in prompts that will be shared.
Troubleshoot the connection
If the tools do not appear, restart the client after configuration and reconnect MCP. If authorization or generation fails, confirm the selected account, workspace permissions, available credits, and network access. Reauthorize the server before creating duplicate tasks.
If you encounter an issue that you cannot resolve, please contact our support team and provide the following information to help us investigate:
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A description of the issue: Explain what you were trying to do and what went wrong.
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Error messages: Include the full error message or a screenshot of the error, if available.
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Steps to reproduce: Describe the steps that led to the issue.
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AI client details: Specify which AI client you are using and its version, if available.
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MCP configuration details: Describe your MCP setup and include relevant logs, if available. Please do not share API keys, access tokens, or other sensitive credentials.
Providing these details will help our team investigate the issue more efficiently.