minecraft-mcp-server

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            M   C   P       S   E   R   V   E   R

🟫🟩🟫 Give any AI agent a body inside Minecraft. 🟫🟩🟫

Connect · Build · Mine · Fight · Farm · Trade · Chat — one MCP server, any AI, any world.

⛏️ What is this?

minecraft-mcp-server is a Model Context Protocol server that puts an AI agent inside a real Minecraft Java Edition world through mineflayer. It exposes 61 tools covering movement, building, mining, combat, farming, inventory, villager trading, and world perception — so any MCP-compatible client can spawn a bot that actually sees the world, walks around it, and acts on it.

This is not tied to any single AI product. It speaks plain MCP over stdio, so it works with any MCP host — Claude Desktop, Claude Code, Cursor, Cline, Windsurf, your own custom MCP client, or anything else that can launch a local MCP server. If your agent can talk MCP, it can play Minecraft.

Built for singleplayer worlds opened via "Open to LAN", offline-mode/cracked servers (e.g. TLauncher), and standard online-mode servers.

Related MCP server: Minecraft MCP Server

🧰 Tool chest — what your agent can do

Every tool returns structured JSON and actionable error messages — no raw stack traces dumped on your agent.

📦 Installation

git clone https://github.com/AhmadTariq1337/minecraft-mcp-server.git
cd minecraft-mcp-server
npm install
npm run build

This compiles TypeScript from src/ into dist/, producing dist/index.js — the entry point your MCP host will launch.

🔧 Configuring your MCP client

Any host that supports local (stdio) MCP servers can use this. The server is launched as:

node /path/to/minecraft-mcp-server/dist/index.js

Claude Desktop / Claude Code

Add to your MCP config (claude_desktop_config.json or equivalent):

{
  "mcpServers": {
    "minecraft": {
      "command": "node",
      "args": ["/absolute/path/to/minecraft-mcp-server/dist/index.js"]
    }
  }
}

Cursor / Cline / Windsurf / other MCP hosts

The pattern is the same everywhere — point your client's MCP server config at node + the absolute path to dist/index.js. Consult your client's docs for where that config file lives.

🔑 No API keys, no cloud dependency. Everything runs locally over stdio.

🎮 Quick start in-game

1. Open your Minecraft world (singleplayer works great).

2. Press Escape → Open to LAN — note the port number shown in chat.

3. Ask your agent to connect:

   "Connect to localhost on port <port> as <bot-name>, auth offline."

4. That's it — your agent can now see the world, move, mine, build, and chat.

{
  "host": "localhost",
  "port": 12345,
  "username": "AgentBot",
  "auth": "offline"
}

Use auth: "microsoft" only if connecting with a real Mojang/Microsoft account to an online-mode server.

🧱 Supported Minecraft versions

This server rides on mineflayer, which determines actual protocol support. At time of writing, the published mineflayer release supports up through Minecraft 1.21.x. Mojang's 2026 year.drop versioning scheme (e.g. 26.1.x) is not yet supported upstream — connecting to a newer world will fail with a protocol/version mismatch until mineflayer ships support. Older clients like OptiFine 1.21.11 or vanilla 1.21.x work out of the box.

If you hit a version-mismatch error, launch a world on a supported version (TLauncher makes this easy) while upstream support catches up.

🏗️ Project layout

minecraft-mcp-server/
├── src/
│   ├── index.ts           entry point — registers every tool group
│   ├── bot.ts              mineflayer connection lifecycle
│   ├── types.ts             shared types
│   ├── constants.ts        tunable limits (scan radius, timeouts, etc.)
│   └── tools/
│       ├── connection.ts
│       ├── perception.ts
│       ├── movement.ts
│       ├── building.ts
│       ├── interaction.ts
│       ├── inventory.ts
│       ├── combat.ts
│       ├── farming.ts
│       ├── world.ts
│       ├── social.ts
│       └── misc.ts
└── dist/                    compiled output (npm run build)

🤝 Contributing

Issues and PRs welcome — especially around mineflayer version-support tracking, new tool coverage, and better pathfinding heuristics. Keep tool descriptions actionable (what it does, what it returns, common error cases) so any agent — not just one AI vendor's — can use them well without guesswork.

📜 License

MIT — see LICENSE.

🟩🟫🟩🟫🟩 Built block by block. 🟩🟫🟩🟫🟩