Skip to main content
Glama
meshy-dev

Meshy MCP Server

Official
by meshy-dev

Send Model to 3D Printing Slicer

meshy_send_to_slicer
Read-onlyIdempotent

Detect installed 3D printing slicers, then return launch commands to open downloaded 3D model files for printing.

Instructions

Detect installed 3D printing slicers and return their launch commands. Call it at the START of a print workflow and keep the result; at the END, replace {file} in a launch_command with the downloaded file's local path and run it. If you cannot run shell commands, give the user the command and the file path.

Detects OrcaSlicer, Bambu Studio, Creality Print, Elegoo Slicer, Anycubic Slicer Next, PrusaSlicer (all multicolor-capable) and UltiMaker Cura.

Several SEPARATE models: open them one at a time, ~2 s apart (open -a "Bambu Studio" a.stl; sleep 2; open -a "Bambu Studio" b.stl); fired together, a slicer may take only one. Parts of one model go in one project, opened together.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_nameNoFile name for the modelmeshy_model.3mf
model_urlYesThe model's URL (a placeholder is fine when only detecting)
slicer_typeNo'auto' (default): detect all and recommend one; or one slicer.auto
is_multicolorNoOnly multicolor-capable slicers
response_formatNomarkdown (default) or jsonmarkdown

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.6.4

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the readOnlyHint/idempotentHint annotations, it discloses operational constraints the agent could not infer: multiple models must be opened one-at-a-time ~2s apart (with an example command), parts of one model should be opened together, and it names the exact multicolor-capable slicers detected. This is meaningful behavior-level context.

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

Conciseness4/5

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

Front-loaded with the core action and reasonably tight for the amount of workflow guidance provided. The slicer enumeration and multi-model paragraph are slightly verbose but each carries actionable information.

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

Completeness4/5

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

No output schema exists, and the description compensates by explaining the return (launch commands containing {file}) and how to consume it. It could be more explicit about the full shape of the returned recommendation object, but coverage is strong for a no-output-schema tool.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents all five parameters (including the model_url placeholder note and slicer enum). The description largely restates this and adds no syntax or format detail beyond the schema, so the baseline 3 applies.

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

Purpose5/5

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

It states a specific verb+resource — 'Detect installed 3D printing slicers and return their launch commands' — and clarifies the crucial nuance that the tool returns commands rather than actually performing the send implied by its name. This lets an agent know the tool is a detector/command-provider, distinct from any sibling that performs slicing itself.

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?

It gives explicit workflow positioning: 'Call it at the START of a print workflow and keep the result; at the END, replace {file}...'. It also handles the fallback case ('If you cannot run shell commands, give the user the command and the file path'), so the agent knows both when and how to use the output.

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