list_workflows
List Workflow Runs
List workflow runs (pipeline executions) in a workspace. Returns run status, duration, metadata, and basic execution details. Supports search, pagination, and sorting.
list_workflows
List workflow runs (pipeline executions) in a workspace. Returns run status, duration, metadata, and basic execution details. Supports search, pagination, and sorting.
list_credentials
List credentials stored in a workspace. Credentials are encrypted access keys for compute environments, code repositories, and external services. Does not expose credential values.
create_pipeline
Create a new pre-configured pipeline in the workspace. A pipeline bundles a workflow repository with a compute environment and launch parameters for easy repeated execution.
list_compute_envs
List compute environments in a workspace. Compute environments define the execution platform (AWS Batch, Google Cloud, Azure, Kubernetes, etc.) where pipelines run.
get_workflow
Get detailed information about a specific workflow run, including execution status, progress, metrics, and task-level details. Optionally includes the list of tasks and execution log.
list_participants
List participants (users and teams) with access to the current workspace. Shows role assignments and membership details for access control management.
launch_workflow
Launch a new Nextflow workflow run. Can launch from a pipeline repository URL directly or use a pre-configured pipeline's compute environment and settings. Returns the workflow run ID for monitoring.
manage_compute_env
Get details about, set as primary, or delete a compute environment. Use **action** to specify the operation to perform.
list_organizations
List organizations accessible to the authenticated user. Organizations are top-level entities containing workspaces, teams, and members.
list_datasets
List datasets in a workspace. Datasets are versioned CSV/TSV samplesheets used as pipeline inputs. Supports searching by name and pagination.
cancel_workflow
Cancel an active workflow run. Only running or submitted workflows can be cancelled.
manage_dataset
Create, update, delete, or upload a new version to a dataset. Datasets are versioned, structured data (CSV/TSV samplesheets) used as pipeline inputs.
get_pipeline
Get detailed information about a specific pipeline, including its repository, compute environment, launch configuration, and labels.
manage_labels
List, create, update, or delete resource labels. Labels are used to tag pipelines, workflow runs, and compute environments for cost tracking and organizational purposes across teams and workspaces.
list_workspaces
List workspaces in an organization. Workspaces contain pipelines, compute environments, credentials, runs, and datasets. Each workspace has its own access controls and resource isolation.
manage_actions
List, describe, trigger, pause, or delete pipeline actions. Actions enable event-based pipeline execution via GitHub webhooks or Tower launch hooks. Triggering an action launches its pre-configured pipeline.
list_pipelines
List pre-configured pipelines in a Seqera workspace. Supports searching by name, pagination, and sorting. Returns pipeline configuration details including repository, compute environment, and labels.
manage_secrets
List, create, update, or delete pipeline secrets. Secrets are secure keys used by workflow tasks to interact with external systems (e.g., database passwords, API tokens). Secrets are available to workflows launched in the workspace.
Manage and orchestrate Nextflow data pipelines across cloud and on-premises environments. Launch, monitor, and cancel workflow runs with detailed task-level status, resource metrics, and execution logs. Create and configure compute environments for AWS Batch, Google Cloud, Azure, and Kubernetes. Manage pipelines, datasets (CSV/TSV samplesheets), credentials, and pipeline secrets within workspaces. Organize resources across organizations, workspaces, and teams with role-based access control. Set up automated pipeline triggers via GitHub webhooks or custom launch hooks. Create and manage interactive Studio sessions (Jupyter, RStudio, VS Code). Browse cloud storage and data links through Data Explorer. Apply resource labels for cost tracking and organization. Manage API access tokens programmatically.
Common questions about connecting Seqera to AI agents with Metorial.