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
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A modular system for building and orchestrating AI applications through microservices, featuring LLM interactions, Jupyter notebook execution, and visual workflow capabilities.
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