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EmreTekir

anycubic-slicer-mcp

by EmreTekir

slice_model

Slice STL, 3MF, OBJ, or STEP files to G-code and a .gcode.3mf project for Anycubic printers, using presets or custom overrides and returning print time and filament estimates.

Instructions

Slice STL/3MF/OBJ/STEP files to G-code plus a .gcode.3mf project (openable in the GUI / sendable to the printer).

printer/process/filaments: preset names or unique substrings; omitted -> GUI selection for that printer. overrides: setting key -> value, routed automatically to process/filament/machine (per-nozzle variants like nozzle_temperature_HS/_BRASS follow the plain key). output_dir defaults to the first model's folder; existing files with the same name are replaced. plate: 0 = all plates. arrange/orient: auto-place and auto-orient (arrange=false keeps the file's coordinates). scale / rotate_z (degrees): STL and OBJ only. copies: total instances of each model. use_project_settings: slice a 3MF with the settings stored inside it (no presets/overrides). Returns gcode paths with print time, filament grams/meters, layer count, key settings and warnings.

Input Schema

NameRequiredDescriptionDefault
plateNo
scaleNo
copiesNo
modelsYes
orientNo
arrangeNo
printerNo
processNo
rotate_zNo
filamentsNo
overridesNo
timeout_sNo
output_dirNo
output_nameNo
use_project_settingsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.4/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Since there are no annotations, the description must carry the full weight of behavioral disclosure. It specifies critical traits like file replacement logic, output contents (time, grams, layer count), and default directory behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely dense and functions more like a technical API reference manual dumped into a description field than a concise summary. While it is functional, it sacrifices conciseness for exhaustive detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With zero schema description coverage, the description has to be comprehensive. It is highly complete, defining not only inputs and outputs but also default behaviors and constraints across the entire tool's function.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Given the 0% schema description coverage, the description performs exceptionally well. It explains complex mapping logic (e.g., routing overrides, scaling limitations for certain files) that is impossible to convey through simple type definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The purpose is immediately clear: slicing specific 3D model formats (STL, 3MF, OBJ, STEP) into G-code and project files. It is slightly docked because the description spends the majority of its length detailing parameters rather than strictly defining the 'what' vs. the 'how'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

This description excels at usage guidance. It provides complex conditional logic on parameters—for example, how to select a printer, naming conventions for process/filaments, and the specific functionality of using internal project settings vs. presets.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.