No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by yuniko-software · MCP Server · ★ 751
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is minecraft-mcp-server safe to install? View the security audit →
Minecraft MCP Server [!IMPORTANT] Currently supports Minecraft version 1.21.11. Newer versions may not work with this MCP server, but we will add support as soon as possible. https://github.com/user-attachments/assets/6f17f329-3991-4bc7-badd-7cde9aacb92f A Minecraft bot powered by large language models and Mineflayer API. This bot uses the Model Context Protocol (MCP) to enable Claude and other supported models to control a Minecraft character. Prerequisites
| Stars | 751 |
| Forks | 89 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.688848598926/100 |
| Open Issues | 18 |
| Last Updated | 2026-04-04 |
| Created | 2025-03-20 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~46k |
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minecraft-mcp-server is A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game env. It is categorized as a MCP Server with 751 GitHub stars.
minecraft-mcp-server is primarily written in TypeScript. It covers topics such as artificial-intelligence, claude, javascript.
You can find installation instructions and usage details in the minecraft-mcp-server GitHub repository at github.com/yuniko-software/minecraft-mcp-server. The project has 751 stars and 89 forks, indicating an active community.
minecraft-mcp-server is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to minecraft-mcp-server on Agent Skills Hub include ax, easy-mcp, claude-prompts. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: