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Cloud control MCP

What is MCP

Supported platforms

  • Coze, Dify, VS Code, Trae, and more
  • Any platform that follows MCP can connect

How to use cloud MCP

  • Install cloud control. MCP listens on port 8187 — open it in BT Panel security and your cloud provider security group
  • Go to Permission → User management → Cloud settings
  • If there is no MCP key, generate one, copy it, then confirm to save

MCP server config

  • After you have the key, edit the config below:
  • Replace the server IP with your cloud control IP
  • Replace the MCP key with the key you copied
{
  "mcpServers": {
    "EcloudMCP_zuhu": {
      "type": "streamable-http",
      "url": "http://SERVER_IP:8187/mcp",
      "headers": {
        "UserToken": "MCP_KEY"
      }
    }
  }
}

Example:

{
  "mcpServers": {
    "EcloudMCP_zuhu": {
      "type": "streamable-http",
      "url": "http://192.168.2.12:8187/mcp",
      "headers": {
        "UserToken": "6c2657067fb7459bb7f84b6afab5e5b1"
      }
    }
  }
}

Configure in an LLM platform

  • Example uses Trae; other platforms are similar
  • Download and open Trae
  • Open AI feature management on the right AI feature management
  • Open MCP → Add → Manual MCP → Add → Manual
  • Paste the MCP config above and confirm Paste MCP config
  • Trae connects and lists supported tools MCP connected
  • Click Agent → create Create agent
  • Name the agent, check the MCP server you configured, then create Select MCP server
  • Chat with the agent, e.g. Run cloud task named 323 or Stop cloud task named 323 Chat with agent

Why MCP helps

  • Often used in workflows as a tool/data provider for the LLM
  • Example: Coze generates a video, then starts a cloud task for the next step — one of many scenarios
  • For simple automation, skip coding and let the model interpret intent

Feature requests

  • For more MCP ideas or needs, contact Secretary Sha (QQ 2557945562)