MLflow

This MCP is not yet compatible with Highlight's one-click setup. However, you can still use it with Highlight by following these steps:

1. 1Download and install Highlight from highlightai.com/download
2. 2Navigate to the plugins tab and select "Add Custom Plugin"
3. 3
   Configure the plugin with the following settings:

   Plugin Name:

   MLflow

   Command (node, npx, python, etc.):

   python

   Environment Variables:

   Key:

   LOG_LEVEL

   Value:

   INFO

   Key:

   MODEL_NAME

   Value:

   gpt-3.5-turbo-0125

   Key:

   OPENAI_API_KEY

   Value:

   your_key_here

   Key:

   MLFLOW_TRACKING_URI

   Value:

   http://localhost:8080

   Key:

   MLFLOW_SERVER_SCRIPT

   Value:

   mlflow_server.py

   Note: Environment variables are stored locally and never sent to cloud services.

   Arguments:

   Argument 1:

   mlflow_server.py

   Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

4. 4Enable "Start Automatically" if you want the plugin to start when Highlight launches