list_workflows
List Workflow Runs
List workflow runs (pipeline executions) in a workspace. Returns run status, duration, metadata, and basic execution details. Supports search and pagination.
Ask your agent in plain language. Each of these maps to a real tool on the server.
list_workflows
List workflow runs (pipeline executions) in a workspace. Returns run status, duration, metadata, and basic execution details. Supports search and pagination.
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.
list_workflow_tasks
List a page of tasks for a workflow run, with search, process filtering, and sorting. Call list_workspaces to discover workspace IDs when using a workspace context.
get_current_user
Get the authenticated Seqera user and their default workspace ID.
manage_pipeline
Update a saved pipeline configuration or delete a pipeline. Use list_workspaces to discover workspace IDs, then list_pipelines to find pipeline IDs.
Every client uses the same Magic MCP URL, and so does any other MCP client. Add it once and sign in with SSO.
{"mcpServers": {"metorial": {"url": "<your-magic-mcp-url>"}}}
claude mcp add --transport http metorial <your-magic-mcp-url>
codex mcp add metorial --url <your-magic-mcp-url>codex mcp login metorial
One governed layer for every app your agents reach, not a separate connector per tool.
Manage Nextflow pipelines and workflow runs in Seqera Platform. Create, update, and delete saved pipelines; launch, monitor, and cancel runs; inspect task pages and logs; manage datasets, pipeline secrets, and resource labels; discover organizations and workspaces; list credential metadata and inspect compute environments; manage existing pipeline actions; and list workspace participants.
Common questions about connecting Seqera to AI agents with Metorial.