# ZenML

> Use this tool when you need to manage and interact with machine learning pipelines, including querying metadata, triggering new runs, and analyzing run history. It solves problems of ML workflow monitoring and management, providing a conversational interface to access core functionality such as users, stacks, and pipelines. The tool takes API keys as input and outputs pipeline metadata, run history, and other relevant information, making it ideal for use in ML engineering and development contexts.

Canonical page: https://skillsregistry.net/skills/zenml-io-zenml  
JSON: https://api.skillsregistry.net/v1/skills/zenml-io-zenml

## Description

This ZenML MCP server enables AI assistants to interact with ZenML, an open-source ML pipeline management platform. Built with Python using FastMCP, it provides tools to access core ZenML functionality including users, stacks, pipelines, runs, services, components, artifacts, and logs. The implementation allows querying pipeline metadata, triggering new pipeline runs, and analyzing run history through standardized MCP tools. It handles authentication via API keys and includes robust error handling, making it ideal for ML engineers who want to monitor and manage their machine learning workflows through conversational AI interfaces.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zenml-io-zenml)
- **Repository:** <https://github.com/zenml-io/mcp-zenml>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zenml-io-zenml"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zenml-io-zenml` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zenml-io-zenml/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt