VeryCloud MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@VeryCloud MCPCheck the CPU and RAM usage of my game server"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
VeryCloud MCP
Manage a VeryCloud/Wisp game server from ChatGPT, Claude, Cursor, or another MCP client.
Supports server status, files and logs, console commands, power controls, audit logs, and backups. Your VeryCloud API token stays on the MCP host.
Install
Requires Python 3.11+ and a VeryCloud API token.
git clone https://github.com/BreezeDelegate/verycloud-mcp.git
cd verycloud-mcp
python -m venv .venvWindows PowerShell:
.\.venv\Scripts\Activate.ps1
python -m pip install -e .
Copy-Item .env.example .envLinux/macOS:
source .venv/bin/activate
python -m pip install -e .
cp .env.example .envSet these two values in .env:
VERYCLOUD_API_TOKEN=your_verycloud_api_token
VERYCLOUD_SERVER_ID=your_server_idThen:
verycloud-mcp --check
verycloud-mcpLocal MCP URL: http://127.0.0.1:8000/mcp
Related MCP server: Simple SSH MCP Server
Connect
ChatGPT: private/local test with Secure MCP Tunnel
This is the recommended first real-world test because the MCP server remains bound to localhost and does not need a public inbound port.
In OpenAI Platform, create a Secure MCP Tunnel and a separate runtime API key with the required tunnel permissions.
Put the values in your local
.envonly:
CONTROL_PLANE_TUNNEL_ID=tunnel_...
CONTROL_PLANE_API_KEY=your_runtime_api_keyInstall the official OpenAI
tunnel-clientand ensuretunnel-clientis available in yourPATH.Start VeryCloud MCP and the tunnel together:
Windows PowerShell:
.\scripts\run-chatgpt-tunnel.ps1Linux/macOS:
chmod +x scripts/run-chatgpt-tunnel.sh
./scripts/run-chatgpt-tunnel.shIn ChatGPT Developer Mode, create a custom app, choose Tunnel as the connection type, select the tunnel, scan the tools, and test the draft app.
Official OpenAI tunnel documentation: https://developers.openai.com/api/docs/guides/secure-mcp-tunnels
Never paste the VeryCloud API token or OpenAI runtime API key into chat, issues, commits, or screenshots.
Claude Code
claude mcp add --transport http verycloud http://127.0.0.1:8000/mcpFor a remote instance protected with VERYCLOUD_MCP_AUTH_TOKEN:
claude mcp add --transport http verycloud https://mcp.example.com/mcp --header "Authorization: Bearer your_mcp_token"Cursor
Add the MCP URL as a Streamable HTTP server in Cursor's MCP settings. Project configs live in .cursor/mcp.json; global configs live in ~/.cursor/mcp.json.
Allow changes
Write actions are off by default. Enable only what you want in .env:
VERYCLOUD_ALLOW_COMMANDS=true
VERYCLOUD_ALLOW_FILE_WRITES=true
VERYCLOUD_ALLOW_POWER=true
VERYCLOUD_ALLOW_BACKUPS=true
VERYCLOUD_ALLOW_DESTRUCTIVE=falseVERYCLOUD_ALLOW_DESTRUCTIVE=true is additionally required for file deletion, backup restore/delete, and force-kill.
Remote / Docker
For a remote listener:
VERYCLOUD_MCP_HOST=0.0.0.0
VERYCLOUD_MCP_AUTH_TOKEN=use_a_long_random_token_here
VERYCLOUD_MCP_ALLOWED_HOSTS=mcp.example.com,mcp.example.com:443Put HTTPS in front of the MCP server. VERYCLOUD_MCP_AUTH_TOKEN protects the MCP endpoint; it is not your VeryCloud token.
docker build -t verycloud-mcp .
docker run --rm -p 8000:8000 --env-file .env -e VERYCLOUD_MCP_HOST=0.0.0.0 verycloud-mcpNever commit .env or any token. Non-commercial use only; see LICENSE. Contributions: CONTRIBUTING.md.
This server cannot be installed
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