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Use AI with OrcaSlicer to slice, tune, and explain setting tradeoffs.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.MaxEllis/orcaslicer-mcp" MCP server from askskill: Run: claude mcp add 'io-github-maxellis-orcaslicer-mcp' -- uvx orcaslicer-mcp
When OrcaSlicer is already running, users can let AI participate in the slicing workflow and reduce the time spent finding and changing settings manually.
While changing slicing parameters, users can use this tool to understand the cost of each setting and make decisions faster.
For learners unfamiliar with slicing parameters, it can adjust settings while explaining their impact, helping them understand the software's configuration logic.
It is an MCP tool for OrcaSlicer that lets AI work with a running OrcaSlicer to slice, tune settings, and explain the tradeoffs of different options.
The known prerequisite is a running OrcaSlicer instance. For other runtime or configuration requirements, see the source repository.
It is not positioned as a general-purpose chatbot. It focuses specifically on working with OrcaSlicer: slicing, tuning, and helping users understand the cost and tradeoffs of each setting.
Run headless slicing, manage presets, analyze G-code, and control printers over LAN.
Read and edit OrcaSlicer profiles with inheritance and provenance tracking.
Analyze .3mf print files and recommend speed-strength slicing settings.
Check AI visibility and compare software using measured AI answer data.
Create AI-dubbed videos via OrcaRouter from uploads or video URLs.
Lets AI agents slice STL models into printable G-code headlessly.