meshy-mcp-server: MCP server for Meshy AI 3D generation platform

by meshy-dev · MCP Server · ★ 84

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install meshy-mcp-server

git clone https://github.com/meshy-dev/meshy-mcp-server.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 77/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

3d3d-generation3d-models3d-printingai-agentsai-assistantimage-to-3dmcpmcp-servermeshy

Quick Facts

Stars84
Forks18
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score77/100
Open Issues3
Last Updated2026-10-22
Created2026-04-03
Platformsmcp, node
Est. Tokens~15k

About meshy-mcp-server

Meshy MCP Server Model Context Protocol (MCP) server for the Meshy AI 3D generation platform. Enables AI agents to create, manage, and download 3D models, textures, images, rigged characters, and animations through natural conversation.

Compatible Skills

These tools work well together with meshy-mcp-server for enhanced workflows:

  • Claw3D — semantic(0.27)+complementary+same_lang+shared_platform (49%)
  • codesys-mcp-toolkit — semantic(0.49)+same_lang+similar_pop+shared_platform (47%)
  • modly — semantic(0.20)+complementary+same_lang+shared_platform (47%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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