About 3D Printer on Demand
Quote, check and order 3D prints of STL, 3MF, STEP or OBJ files. Made in the USA, shipped in the US.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://3dprinterondemand.com/api/mcpclaude mcp add --transport http afontana77-3d-printer-on-demand https://3dprinterondemand.com/api/mcp{"mcpServers":{"afontana77-3d-printer-on-demand":{"type":"http","url":"https://3dprinterondemand.com/api/mcp"}}}Open in Cursor{"servers":{"afontana77-3d-printer-on-demand":{"type":"http","url":"https://3dprinterondemand.com/api/mcp"}}}Open in VS Code{"mcpServers":{"afontana77-3d-printer-on-demand":{"type":"http","url":"https://3dprinterondemand.com/api/mcp"}}}{"mcpServers":{"afontana77-3d-printer-on-demand":{"serverUrl":"https://3dprinterondemand.com/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
12| Parameter | Type | Required | Description |
|---|---|---|---|
| color | string | No | Color name for the chosen material. Default is the material's first color. |
| material | enum | No | Material id, one of the listed values. Default petg.petg | pla | abs | pa-cf | petg-cf | opm | tpu |
| quantity | integer | No | How many copies of the part. |
| model_file | object | No | The STL, 3MF, STEP or OBJ file the user attached. |
| model_file.file_id | string | Yes | Identifier of the attached file. |
| model_file.file_name | string | No | |
| model_file.mime_type | string | No | |
| model_file.download_url | string | Yes | Download URL of the attached file. |
| part_description | string | No | What the user says this part is or what it is for, in their own words, if they said. Leave out if they did not. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.