# QIDI Studio MCP Server

> Use this tool when you need to manage and optimize 3D printing profiles locally, solving issues with filament, process, and machine preset inconsistencies. It enables AI assistants to read and write presets via the Model Context Protocol, streamlining 3D printing workflows. Ideal for use cases requiring precise control over 3D printing settings, this tool provides a standardized interface for inputting and outputting preset data.

Canonical page: https://skillsregistry.net/skills/vladyankovenko-qidi-studio-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vladyankovenko-qidi-studio-mcp

## Description

Manages QIDI Studio 3D printing profiles locally, enabling AI assistants to read and write filament, process, and machine presets via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jd0kww7cnf)
- **Repository:** <https://github.com/VladYankovenko/qidi-studio-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vladyankovenko-qidi-studio-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vladyankovenko-qidi-studio-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vladyankovenko-qidi-studio-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt