
Meshy Multi-View for Codex
Codex skill and MCP server that turns concept sheets or four reference images into textured 3D models with Meshy, then creates an Adaptive Low remesh and downl…
What it does
The specific capability behind this listing, and where to get it.
Meshy Multi-View for Codex
Codex skill and MCP server that turns concept sheets or four reference images into textured 3D models with Meshy, then creates an Adaptive Low remesh and downl…
Agentery has not yet captured structured capability detail for this provider.
Official Meshy Multi-View for Codex links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Meshy Multi-View for Codex good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
Meshy Multi-View for Codex's local market
Nearest products by what they do.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
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"name": "Meshy Multi-View for Codex",
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"logo": "https://github.com/KeeVeeG.png?size=200",
"niche": null,
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"short_summary": "Codex skill and MCP server that turns concept sheets or four reference images into textured 3D models with Meshy, then creates an Adaptive Low remesh and downl…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
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"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
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],
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},
"liveness": {
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"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}