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Meshy MCP Server

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by meshy-dev

Convert 3D Model Format

meshy_convert

Convert an existing 3D model to other file formats such as STL, 3MF, OBJ, FBX, GLB, USDZ, or BLEND using a model URL or completed task ID.

Instructions

Convert a model to other file formats. Cost: 1 credit (cheaper than remesh for a format-only change).

Example: { input_task_id: "abc-123", target_formats: ["stl", "3mf"] }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_urlNoPublic URL of a .glb / .gltf / .obj / .fbx / .stl model (max 400 MB), or a GLB data URI (max 100 MB).
input_task_idNoA SUCCEEDED task with a model. Wins over model_url.
target_formatsYesFormats to produce
response_formatNomarkdown (default) or jsonmarkdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
messageYes
task_idYes
estimated_timeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.6.4

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare the safety profile (readOnlyHint=false, destructiveHint=false, openWorldHint=true), so the bar is lower. The description adds genuinely new context the annotations lack: the exact cost (1 credit) and the economic trade-off versus remesh, which matters for agent budgeting.

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?

Two sentences, purpose front-loaded, cost and the remesh comparison immediately after, then a compact example. Every element earns its place, though the example is mildly redundant given the 100%-covered schema.

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?

With 100% schema coverage and an output schema present, the description does not need to enumerate parameters or return values. Purpose, cost, and a call example are sufficient for a conversion tool; only explicit source-precondition guidance is missing.

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 four parameters including the enum values for target_formats and the precedence of input_task_id over model_url. The description adds only a worked example, which is illustrative but not additive semantics beyond the schema — baseline 3.

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?

States a specific verb and resource ("Convert a model to other file formats") and scopes it as format-only, which implicitly distinguishes it from geometry-altering siblings like meshy_remesh and meshy_retexture. It stops short of naming those siblings directly, so the differentiation is inferable rather than explicit.

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

Usage Guidelines3/5

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

"cheaper than remesh for a format-only change" gives an implied when-to-use signal by contrast with meshy_remesh, but there is no explicit when-not guidance, no prerequisites (e.g. that the source must be a SUCCEEDED task or a public URL), and no routing to alternatives for other transformation needs.

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