mcp-zenml

by zenml-io · Python · ★ 44

MCP server to connect an MCP client (Cursor, Claude Desktop etc) with your ZenML MLOps and LLMOps pipelines

#llmops#mcp#mcp-server#mlops

Install

pip install git+https://github.com/zenml-io/mcp-zenml.git

Claude Desktop config

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-zenml": {
      "command": "uvx",
      "args": [
        "git+https://github.com/zenml-io/mcp-zenml.git"
      ]
    }
  }
}

From the README

[](https://archestra.ai/mcp-catalog/zenml-io__mcp-zenml) This project implements a [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) server for interacting with the [ZenML](https://zenml.io) API. The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). It acts like a "USB-C port for AI applications" - providing a standardized way to connect AI models to different data sources and tools. MCP follows a client-server architecture where: - **MCP Hosts**: Programs like Claude Desktop or IDE…

Read full README on GitHub →