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ZenML MCP Server
Official MCP server from ZenML, the open-source MLOps framework for building portable and production-ready ML pipelines. Connects AI assistants to the ZenML API for managing ML pipelines, stack components, artifacts and model deployments. Enables MLOps teams to query pipeline runs, inspect artifacts, manage infrastructure stacks and monitor model performance through conversational AI interfaces. Open source under Apache 2.0 license.
MCP unverified
Integration
| Transport | stdio |
| Auth | api-key |
| Endpoint | https://github.com/zenml-io/mcp-zenml |
| Install | uvx mcp-zenml |
Use Cases
| 01 | Query ML pipeline run status, inspect artifacts and monitor model performance through Claude or other AI assistants connected to the ZenML MCP server without switching to the ZenML dashboard |
| 02 | Enable ML engineers to manage infrastructure stacks, trigger pipeline runs and debug failed steps through natural language commands via AI assistants with live ZenML data |
| 03 | Build automated MLOps workflows where AI agents monitor pipeline health, compare model versions and generate deployment recommendations from ZenML data via MCP |
Tags
mlops machine-learning pipelines model-management ml-infrastructure open-source
Machine-readable: /api/servers.json
· JSON-LD schema embedded in <head>