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MCP Server for ZenML

by zenml-io

AI/MLZenMLAI Pipelines

This project implements a Model Context Protocol (MCP) server for interacting with the ZenML API. It provides a standardized way to connect AI models to ZenML's data, models, and experiment management capabilities.

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What is MCP Server for ZenML?

The MCP Server for ZenML is a lightweight program that exposes ZenML's core read functionality through the Model Context Protocol (MCP). It allows MCP hosts like Claude Desktop or Cursor to access live information about ZenML resources like users, stacks, pipelines, and artifacts.

How to use MCP Server for ZenML?

To use the MCP Server for ZenML, you need access to a ZenML Cloud server and uv installed locally. After cloning the repository, you must configure an MCP config file with the correct paths to uv and zenml_server.py, as well as your ZenML server URL and API key. Then, you can integrate it with MCP clients like Claude Desktop or Cursor by following their specific installation instructions.

Key features of MCP Server for ZenML

  • Access to ZenML resources (users, stacks, pipelines, etc.)

  • Triggering new pipeline runs

  • Integration with MCP-compatible applications

  • Access to step code and logs (for cloud-based stacks)

Use cases of MCP Server for ZenML

  • Providing context to LLMs about ZenML pipelines and artifacts

  • Interacting with ZenML resources through natural language interfaces

  • Debugging and monitoring ZenML pipelines using MCP-enabled tools

  • Automating ZenML workflows through MCP clients

FAQ from MCP Server for ZenML

What is MCP?

The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs).

What is ZenML?

ZenML is an open-source platform for building and managing ML and AI pipelines.

Where can I find my ZenML server URL and API key?

You can find these in the ZenML Cloud UI or by following the documentation on connecting with a service account.

Why do I need uv?

uv handles the environment and dependency installation for the MCP server.

Is this a stable release?

This is a beta/experimental release, so feedback and suggestions are welcome.