Threedee (Meshy)
ThreeDee-MCP is a server implementation that enables AI assistants to generate 3D models from text descriptions or images through the Meshy API. Built with Python and FastMCP, it provides tools for creating 3D previews, refining models with PBR textures, converting images to 3D objects, and managing tasks with detailed status tracking. The implementation includes a JavaScript backend using Bun and Anthropic's Claude for natural language processing, making it particularly valuable for users who want to create 3D assets through conversational interfaces without specialized modeling skills. Developed as a hackathon project for Paris AI Tinkerers, it demonstrates practical integration of generative AI with 3D content creation workflows.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/fabianh001/threedee-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Threedee (Meshy) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.