A demonstration implementation of the Model Context Protocol server that facilitates communication between AI models and external tools while maintaining context awareness.
A Model Context Protocol server implementation that can be run directly or through Docker, enabling AI assistants to interact with external systems through the MCP standard.
A server implementing Model Context Protocol that enables LLMs to interact with the ZenML platform, providing access to pipeline data, stack information, and the ability to trigger new pipeline runs.
An implementation of the Model Context Protocol server that enables AI models to communicate with Edge Security Acceleration (ESA) services, allowing models to manage routines, deployments, routes, records, and sites through standardized protocols.