# OrcaSlicer MCP Server

> OrcaSlicer MCP Server — itsumonotakumi-orcaslicer-mcp. Use this tool when you need to manage 3D printing settings and operations through natural language interactions. It solves problems related to profile management, printing setting adjustments, and slicing operations for STL/3MF files, providing outputs such as G-code metadata analysis. The OrcaSlicer MCP Server takes in natural language inputs and returns sliced files and printing settings, ideal for use cases where voice-controlled 3D printing management is required.

Canonical page: https://skillsregistry.net/skills/itsumonotakumi-orcaslicer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/itsumonotakumi-orcaslicer-mcp

## Description

Enables AI agents to interact with OrcaSlicer to manage profiles, adjust printing settings, and perform slicing operations. It allows users to search settings, slice STL/3MF files, and analyze G-code metadata through natural language assistants.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dpkgxyz47b)
- **Repository:** <https://github.com/itsumonotakumi/orcaslicer-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": "itsumonotakumi-orcaslicer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/itsumonotakumi-orcaslicer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/itsumonotakumi-orcaslicer-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