io.github.MaxEllis/orcaslicer-mcp MCP Server

The io.github.MaxEllis/orcaslicer-mcp Model Context Protocol (MCP) server is designed to “drive a running OrcaSlicer with AI.” It supports workflows including loading models, tuning settings, slicing, and analyzing results.

🛠️ Key Features

Load models in a running OrcaSlicer
Tune OrcaSlicer settings
Slice using OrcaSlicer
Analyze slicing results

🚀 Use Cases

Automating model-to-slice workflows with OrcaSlicer
Iteratively tuning settings and evaluating outcomes via analysis

⚡ Developer Benefits

Integrates OrcaSlicer operations (load, tune, slice, analyze) behind an MCP server interface
Enables AI-assisted control of OrcaSlicer for repeated evaluation cycles

⚠️ Limitations

Limited to the capabilities described: load models, tune settings, slice, and analyze results (no additional features provided)

OrcaSlicer MCP

Drive OrcaSlicer with AI. OrcaSlicer MCP is an MCP server that lets Claude (Desktop or Code — or any MCP client) operate a real, running OrcaSlicer: load models, arrange the plate, tune settings, slice, and analyze the result — live, with every change visible in the GUI.

The slicer stays authoritative and on your machine. The server contains no LLM and makes no cloud calls; it talks only to OrcaSlicer on localhost (or a host you explicitly allow).

How it works

Two pieces:

The OrcaSlicer MCP build of OrcaSlicer — OrcaSlicer 2.3.2 with an embedded local control API (token-authenticated, localhost-only by default). Get it from the releases page; if no binary is up for your platform yet, build the remote-api branch from source.
This package (orcaslicer-mcp) — the MCP server that connects your AI client to that build.

Stock OrcaSlicer does not have the control API — the MCP server requires the build above.

Updating: always get new builds from the releases page, never from inside the app. Builds mcp.2 and later disable OrcaSlicer's built-in updater for you (left on, it offers stock OrcaSlicer — which removes the control API). If you're on an older build and a "new version available" prompt appears, click Skip this Version.

Quickstart

You'll need uv installed (it provides the uvx command that runs the server) — one line: curl -LsSf https://astral.sh/uv/install.sh | sh on macOS/Linux, or irm https://astral.sh/uv/install.ps1 | iex in PowerShell on Windows.

Install and launch the OrcaSlicer MCP build, and complete the one-time first-run setup (pick your printer). On a fresh install OrcaSlicer may show a "Bambu Network Plug-in Required" dialog — click Skip for Now; that plug-in is only for Bambu cloud printing and isn't needed here. (The control API starts once first-run setup is finished.)
In OrcaSlicer: Preferences (Ctrl+P) → Remote API → Enable Remote API, then copy the API token shown on that page. (Access is localhost-only unless you also switch on "Allow LAN access".)
Connect your MCP client.

Claude Desktop: download orcaslicer-mcp-<version>.mcpb from the releases page and open the file. Claude Desktop shows an install prompt. Once it's in, open the extension's settings, paste the token from step 2, and enable it.

Skip any guide that tells you to hand-edit claude_desktop_config.json. Current Claude Desktop builds rewrite that file on their own and drop added mcpServers entries, so edits don't stick. The extension never touches the file, and it finds uvx by itself.

Claude Code and other MCP clients: add the server to the client's MCP config (for Claude Code, a project .mcp.json):
json
```
{
  "mcpServers": {
    "orcaslicer": {
      "command": "uvx",
      "args": ["orcaslicer-mcp"],
      "env": {
        "ORCA_API_TOKEN": "<token from Preferences>"
      }
    }
  }
}
```
ORCA_API_URL defaults to http://127.0.0.1:13130 — set it only if you changed the port, or run OrcaSlicer on another machine (with LAN access enabled there).

macOS note for GUI clients other than Claude Desktop: apps launched from the Dock don't inherit your terminal's PATH, so "command": "uvx" can fail silently. Run which uvx in Terminal and put the full path it prints (usually ~/.local/bin/uvx) in "command".
Restart your client and ask: “Load benchy.stl, slice it with the current profile, and tell me the print time.”

What Claude can do with it

Plate & models: load_model (.stl/.obj/.3mf, plus .step/.stp with fork v2.3.2-mcp.3+), list_objects, transform_object, duplicate_object, delete_object, arrange_plate, auto_orient, check_placement, diagnose_plate, get_job_status
Settings: get_config, set_config, find_config_keys, describe_setting, search_settings, compare_settings, set_layer_height, set_height_range, set_object_config (per-object overrides)
Presets: list_presets, select_preset, get_preset_config, edit_preset, save_preset, rename_preset, delete_preset
Slicing: slice, slice_and_wait, apply_and_slice, cancel_slice, get_slice_status, get_slice_warnings, get_slice_breakdown (per-feature time/flow analysis), get_gcode
Live state & events: get_status, watch_events

Settings intelligence

consult(query) — curated slicing knowledge plus your saved notes, composed per topic, symptom, or goal.
check_profile_physics(changes?) — deterministic sanity gate: overlays proposed changes on the live config and runs flow/temperature/geometry/cooling math. Verdict: ok, warnings, or blocked.
remember(note, scope) — persist machine/user/project facts for future sessions as plain local files in ~/.orcaslicer-mcp/notes/ (relocatable via ORCA_MCP_NOTES_DIR).

Plus an offline settings reference: authoritative label/tooltip/type/range/enum/default for ~800 OrcaSlicer settings, bundled with the package.

Security

The control API binds 127.0.0.1 only by default; LAN access is an explicit opt-in in Preferences.
Every request must carry the API token; OrcaSlicer generates it on first run and can regenerate it at any time.
The MCP server is a local stdio process. No telemetry, no cloud.

Development

bash

uv venv && uv pip install -e ".[dev]"
uv run pytest   # unit tests (mock API) + a guarded live smoke test

The live smoke test is skipped unless ORCA_API_URL / ORCA_API_TOKEN point at a running OrcaSlicer MCP build.

Developer docs — protocol notes, design specs, verification results — live in docs/.

Privacy Policy

Everything runs on your own machines. The server talks only to OrcaSlicer's local API at the address you configure (localhost by default) and to nothing else: no telemetry, no analytics, no accounts, no cloud calls.

Data collection: none. The server collects nothing about you or your usage.
Usage and storage: models, settings, and gcode stay on your computer, handled in memory only for the duration of each request. The API token authenticates the server to OrcaSlicer and is stored by your MCP client (Claude Desktop keeps extension settings in the operating system's credential store).
Third-party sharing: none. Nothing is transmitted to us or to any third party — there is no server-side "us" to transmit to.
Data retention: the only data written to disk is notes you explicitly save with remember, stored as plain files under ~/.orcaslicer-mcp/notes/, yours to read or delete at any time. Delete the folder and nothing remains.
Contact: questions or concerns — open an issue.

Status

Early public release (soft launch). The server is exercised by ~170 unit tests and real print workflows; prebuilt OrcaSlicer MCP builds are available for Windows, macOS, and Linux on the releases page. Issues and reports welcome.

License

AGPL-3.0 — the same license as OrcaSlicer, from whose source the bundled settings schema is derived. See LICENSE.

io.github.MaxEllis/orcaslicer-mcp