mcp-zenml

3.4

If you are the rightful owner of mcp-zenml and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

This project implements a Model Context Protocol (MCP) server for interacting with the ZenML API.

The MCP Server for ZenML is designed to facilitate interaction with the ZenML API through the Model Context Protocol (MCP). MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs), acting as a universal connector for AI applications. The server allows users to access core functionalities of the ZenML server, such as retrieving information about users, stacks, pipelines, and more. It also supports triggering new pipeline runs if a run template is available. This integration is currently in beta, and feedback is encouraged to improve its functionality.

Features

Access core read functionalities from the ZenML server, including users, stacks, pipelines, and more.
Trigger new pipeline runs if a run template is present.
Retrieve metadata about data artifacts without accessing the data itself.
Access step code and logs for cloud-based stack runs.
Integration with popular MCP clients like Claude Desktop and Cursor.

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