Enables configuration management through environment variables, allowing customization of the MCP server's behavior
Provides the API backend for the MCP server, allowing HTTP-based interactions with the system's microservices
Supports Jupyter notebook execution within the MCP environment, allowing notebook-based workflows for AI applications
Powers the UI frontend of the MCP server, enabling visual workflow building and interaction with the microservices
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., "@Microservice Control Panel (MCP)show me the health status of all my microservices"
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.
This server cannot be installed