MCP Zenml
未认领MCP server to connect an MCP client (Cursor, Claude Desktop etc) with your ZenML MLOps and LLMOps pipelines
安装
npx cloudflared tunnel --url http://localhost:8001工具（23 个）
diagnose_zenml_setup
Diagnose server setup (env vars, SDK, connectivity, auth). Works even when misconfigured.
get_active_project
Get the currently active project
get_build
Get build details (image, code embedding)
get_deployment
Get a deployment's runtime status and URL
get_deployment_logs
Get bounded logs from a deployment (tail=100 default, max 1000)
get_project
Get project details by name/ID
get_run_template
Use getsnapshot instead
get_snapshot
Get a frozen pipeline configuration by name/ID
get_tag
Get tag details (exclusive, colors)
list_artifacts
Artifact metadata
list_builds
List builds with filters (islocal, containscode)
list_deployments
List deployments with filters (status, pipeline, tag)
list_projects
List all projects
list_run_templates
Use listsnapshots instead
list_secrets
Secret names (not values)
list_snapshots
List snapshots with filters (runnable, deployable, deployed, tag)
list_tags
List tags with filters (resourcetype)
most_recent_runs
Get N most recent runs
open_pipeline_run_dashboard
Open interactive pipeline runs dashboard (MCP App)
open_run_activity_chart
Open 30-day run activity bar chart (MCP App)
recent_runs_analysis
Analyze recent pipeline runs
stack_components_analysis
Analyze stack component usage
trigger_pipeline
Trigger a pipeline run (prefer snapshotnameorid parameter)