minecraft-mcp-server: A Minecraft MCP Server powered by Mineflayer API

by yuniko-software · MCP Server · ★ 751

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

Security audit verdict: SAFE · quality 69/100

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.

artificial-intelligenceclaudejavascriptlarge-language-modelsmcpmcp-serverminecraftmodelcontextprotocolnatural-language-processingnodejs

Quick Facts

Stars751
Forks89
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score69/100
Open Issues18
Last Updated2026-04-04
Created2025-03-20
Platformsclaude-code, mcp, node
Est. Tokens~46k

About minecraft-mcp-server

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.

Compatible Skills

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

  • BuilderGPT — semantic(0.34)+complementary+rare_topics+similar_pop+shared_platform (51%)
  • local-cocoa — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)
  • anchoring-ai — semantic(0.30)+complementary+rare_topics+similar_pop+shared_platform (50%)
  • Odyssey — semantic(0.38)+complementary+rare_topics+similar_pop (48%)
  • spacy-llm — semantic(0.20)+complementary+rare_topics+similar_pop+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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