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Minecraft MCP 服务器配置工具

Minecraft MCP 服务器配置工具

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github.com/haishen668Games & Entertainment0Updated 73w ago
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About Minecraft MCP 服务器配置工具

Minecraft MCP 服务器配置工具 provides a web interface for configuring Minecraft RCON connection settings and testing connectivity. It also offers Minecraft server tools and can synchronize configuration with Trae IDE.

Key features

  1. 01Web-based connection configuration
  2. 02Connection testing
  3. 03Automatic configuration saving
  4. 04Trae IDE configuration sync
  5. 05RCON-based server communication

Use cases

  1. 01Setting Minecraft RCON connection parameters
  2. 02Checking whether the server connection works
  3. 03Managing a Minecraft server through MCP
  4. 04Applying settings in Trae IDE

MCP support

The MCP server exposes tools to run server commands, broadcast messages, search plugins, download files, and fetch web content. The configuration tool supports setup for MCP clients, with automatic sync for Trae IDE.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "minecraft_mcp_server": {
      "command": "uvx",
      "args": [
        "minecraft-mcp-server"
      ],
      "env": {
        "MC_HOST": "<MC_HOST>",
        "MC_RCON_PORT": "<MC_RCON_PORT>",
        "MC_RCON_PASSWORD": "<MC_RCON_PASSWORD>"
      }
    }
  }
}
Run commanduvx minecraft-mcp-server
Environment variables to set
MC_HOST
MC_RCON_PORT
MC_RCON_PASSWORDSecret

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypiminecraft-mcp-server

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.