ZenML
Integrates with ZenML to enable querying pipeline metadata, triggering new runs, and analyzing ML workflow history through Python-
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.
Source
Repository: https://github.com/zenml-io/mcp-zenml
Maintain ZenML?
Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.
[ZenML on getagentictools](https://getagentictools.com/mcp/zenml-io-mcp-zenml?ref=badge) Related mcp
Serial Bridges with physical hardware devices (e.g. Raspberry Pi) via serial communication, enabling real-world control and interaction f
Home Assistant Integrates with Home Assistant to enable control and monitoring of smart home devices via API calls for tasks like adjusting light
RevitMCP Enables AI to interact directly with Revit models, allowing natural language querying, element creation, and complex model manipul
Datawrapper Create and manage Datawrapper charts and visualizations
Zig Integrates with Zig tooling to provide code optimization, analysis, and generation capabilities for efficient Zig development.
Home Assistant (Vibecode) IDE-integrated development environment for creating and managing Home Assistant automations, dashboards, themes, and configuration