MCP server for ZenML
This MCP server connects MCP clients like Claude Desktop or Cursor with ZenML's ML and LLMOps pipelines, enabling real-time access to users, stacks, pipelines, artifacts, and more, facilitating pipeline management and execution.
Added on:
Created by:
Mar 24 2025
This MCP server connects MCP clients like Claude Desktop or Cursor with ZenML's ML and LLMOps pipelines, enabling real-time access to users, stacks, pipelines, artifacts, and more, facilitating pipeline management and execution.
Added on:
Created by:
Mar 24 2025
ZenML
Featured
What is MCP server for ZenML?
The MCP server for ZenML acts as a bridge between MCP clients and ZenML's ML and LLM pipelines. It offers functionalities to retrieve live data about users, stacks, pipelines, runs, steps, services, and artifacts, and also allows triggering new pipeline runs. Designed for seamless integration, it provides a standardized protocol for accessing and managing pipeline components, simplifying remote pipeline control and monitoring within ML and LLMOps workflows.
Who will use MCP server for ZenML?
- ML engineers
- Data scientists
- DevOps teams
- AI research practitioners
- Pipeline administrators
How to use the MCP server for ZenML?
- Step1: Sign up and set up a ZenML cloud server
- Step2: Clone the MCP server repository from GitHub
- Step3: Configure your MCP client with the server details, including API keys and server URL
- Step4: Install necessary dependencies like 'uv' and run the MCP server script
- Step5: Connect MCP clients such as Claude Desktop or Cursor using the configured profile
- Step6: Use MCP clients to access pipeline data or trigger new pipeline executions
MCP server for ZenML's Core Features & Benefits
The Core Features
- Get users, stacks, pipelines, and runs info
- Fetch pipeline steps, artifacts, and logs
- Trigger new pipeline runs
- Access service and component details
The Benefits
- Standardized protocol for easier integration
- Real-time access to pipeline metadata
- Supports remote management of pipelines
- Flexible setup for diverse ML/LLM workflows
MCP server for ZenML's Main Use Cases & Applications
- Real-time monitoring of ML pipelines
- Managing pipeline executions remotely
- Integrating various MCP clients for pipeline control
- Enabling seamless access to pipeline artifacts and logs
FAQs of MCP server for ZenML
Developer
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