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Meshy MCP Server

Create, process, animate, organize, and prepare Meshy AI 3D assets through 28 MCP tools.

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Install Meshy MCP Server

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "meshy-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@meshy-ai/meshy-mcp-server"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Automated check passed— started and listed 28 tools correctly (1d ago).

Overview

meshy-mcp-server connects AI agents to the Meshy AI 3D generation platform through 28 tools for creating, modifying, managing, and downloading assets. It covers text-, image-, and multi-image-to-3D generation, image generation, rigging, animation, conversion, retexturing, and 3D-print preparation. Use it when an agent needs to coordinate Meshy workflows, inspect task status, manage generated models, or launch supported slicers. The server also provides workflow guidance, retry handling for asynchronous API tasks, and local organization under `meshy_output/`.

Use cases

  • Generate 3D assets from text prompts or reference images
  • Prepare models for 3D printing and multicolor slicing
  • Rig humanoid characters and apply generated motion
  • Convert, resize, retexture, and organize Meshy models
  • Track Meshy tasks, downloads, balances, and API usage

Key features

  • 28 tools spanning Meshy generation and asset management
  • Text-to-3D, image-to-3D, and multi-image-to-3D workflows
  • Rigging, animation, and text-to-motion support
  • Printability analysis, repair, multicolor processing, and auto-splitting
  • Format conversion, resizing, UV unwrapping, and retexturing
  • Task retries, status polling, local output organization, and slicer detection

Tools28

What Meshy MCP Server lets your agent do. Expand a tool for its parameters.

Verified live~16.0k tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked Today

Recent health check succeeded.

What it can do

From the 28 tools this server returned when we ran it; 28 declare their own safety hints.

Runs commands · 1Can delete or modify data · 1Handles credentials · 2Makes network requests · 27Read-only tools · 26
Network at startup3 connections
Files written at startupNone
Install scriptsNone
npm provenanceSigned build
Package age220 days
Maintainers3

Observed 2026-11-09 in an isolated sandbox. A description of reach, not a security audit.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 2d ago via OSV.dev · @meshy-ai/meshy-mcp-server (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars91Stargazers on the source repository.
npm downloads92kPackage downloads in the last 30 days.
Last commitTodayMost recent push to the default branch.
Availability100%Our rolling endpoint + install checks that succeeded.
Install checkPassedOur sandbox started it and listed its tools.
Tools exposed28Callable tools this server registers over MCP.

How Meshy MCP Server works

What meshy-mcp-server does

meshy-mcp-server exposes Meshy AI operations through the Model Context Protocol. Its tools cover the full asset lifecycle: generating models from text or images, refining and retexturing them, adding rigs and animation, converting or resizing files, and downloading finished outputs.

Generation tools support text-to-3D preview and refinement, single-image conversion, and multi-image reconstruction. The server also exposes Meshy’s image-generation endpoints, including text-to-image and image-to-image editing. Creative Lab provides a single workflow for turning a photo into a finished product such as a figure, lamp, keychain, keycap, or fidget product.

For physical output, the server can inspect printability, repair topology, thicken thin walls, create multicolor 3MF files, and split models into printable sections. It can detect supported local slicers and return launch commands. Generated files are organized in meshy_output/ with project folders, metadata, and history tracking.

How it works

The agent calls MCP tools that create or query Meshy API tasks. Task-management tools report status, list tasks, cancel work, and download completed models; model-listing tools find finished 3D assets in the workspace. Create operations use retry behavior that avoids resending a request after a timeout or server error, reducing the risk of creating and billing the same task twice. Status polling follows the interval suggested by the API.

Model selection depends on the endpoint. Meshy 7.1 is available for the main text- and image-based generation workflows, while Meshy 6 Lite provides lower-cost generation. Smart Topology uses Meshy T2 or T2.5 for clean, part-separated meshes, and retexturing supports Meshy 7, Meshy 6, Meshy 6 Lite, or Meshy N1 according to the selected inputs. Texture models can be chosen separately for supported image-generation workflows.

Animation tools can rig humanoid characters, apply preset actions, combine multiple actions into clips, or generate motion from text. The animation-listing tool helps locate action identifiers. Text-to-motion supports generated motion clips in FBX or BVH workflows.

Tools and capabilities

  • Generate 3D models from text, one image, or multiple views.
  • Refine models and apply single-view or multi-view textures, including supported 8K outputs.
  • Generate and edit 2D images with supported image models and transparent backgrounds.
  • Rig characters, apply animations, and create motion from descriptions.
  • Convert formats, resize models, and produce UV layouts.
  • Analyze and repair printability, add wall thickness, process multicolor output, and split models.
  • Query balances, usage, tasks, and workspace models.
  • Send prepared models to detected OrcaSlicer, Bambu, Creality, Elegoo, Anycubic, PrusaSlicer, or Cura installations.

Limitations and notes

Meshy operations consume credits according to the selected model, texture resolution, and endpoint. For example, generation costs differ between Meshy 7.1, Meshy 6 Lite, and Smart Topology, while conversion, resizing, UV unwrapping, repair, and print-processing operations have their own costs. The server surfaces account balance and usage tools to help track consumption.

Accepted model identifiers are not uniform across endpoints. Multi-image generation does not support Smart Topology, and Meshy N1 retexturing requires reference images rather than a text prompt. Some incompatible combinations are rejected before an API request is made. Legacy model identifiers may be deprecated or retired, so workflows should use the supported model options for each endpoint.

Printability analysis includes checks such as watertightness, volume, holes, non-manifold edges, and degenerate faces. Multicolor output supports presets for nine printer brands, while Cura is the exception among detected slicers for opening multicolor 3MF files.

Read the full README View source on GitHub

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Frequently Asked Questions about Meshy MCP Server

meshy-mcp-server is an MCP server that connects AI agents to Meshy AI’s 3D generation platform. Its main tools create and manage 3D models, textures, images, rigs, animations, and print-ready files, while also supporting task status, downloads, workspace models, account balances, usage reporting, and slicer commands.

Installation steps are not included in the available project details. The server is designed to expose Meshy AI capabilities through MCP, including generation, task management, model downloads, and print-processing tools.

meshy-mcp-server can generate 3D models from text, single images, or multiple images, as well as 2D images from text or images. It also supports Creative Lab products, textures, rigs, animations, and text-generated motion.

Yes. It can analyze printability, repair topology, thicken thin walls, create multicolor 3MF files, automatically split models, and return launch commands for detected slicers such as OrcaSlicer, Bambu, PrusaSlicer, and Cura.

Create requests are not resent after a timeout or server error, preventing an accidental duplicate task and charge. Status checks retry using the interval recommended by the Meshy API.

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