hex-mm-mcp
Click on "Deploy 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., "@hex-mm-mcplist all available models"
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.
HexagonML ModelManager MCP Server
This is a HexagonML MCP server that provides a Model context protocol interface for HexagonML ModelManager tools.
Configuration For mcp integration on host (g: windsurf, vscode, claude desktop)
Local Configuration
{
"mcpServers": {
"hex-mm-mcp": {
"command": "hex-mm-mcp/.venv/bin/mcp",
"args": ["run", "hex-mm-mcp/server/mm_mcp_server.py"]
}
}
}Docker Configuration
For Dev (Using Local URL)
Run the ModelManager server in
--host 0.0.0.0 --port 8000cmd
python manage.py runserver 0.0.0.0:8000
Get the hostname of your system using
hostname -Icommandeg:
192.168.10.75 172.17.0.1 2400:1a00:4b26:2af0:8f53:ede1:ec3a:c59b 2400:1a00:4b26:2af0:9139:c926:2fb5:6008use first ip address from the list eg:
192.168.10.75
Replace
your-api-base-urlwithhttp://<hostIP>:8000
{
"mcpServers": {
"hex-mm-mcp-docker": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"--network=host",
"-e",
"SECRET_KEY",
"-e",
"MM_API_BASE_URL",
"-v",
"OUTPUT_DIR",
"<image-name>:<tag>"
],
"env": {
"SECRET_KEY": "your-secret-key",
"MM_API_BASE_URL": "your-api-base-url",
"OUTPUT_DIR": "your-output-dir"
}
}
}
}This server cannot be deployed
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