Tdp Pipelines

name: tdp-pipelines
title: TDP Pipelines and Data Engineering
provider: TetraScience
providerId: tetrascience
description: >-
  Capability for managing Tetra Data Pipelines — serverless data
  engineering jobs that parse, transform, enrich, and route Tetra Data.
  Covers pipeline CRUD, IDS / protocol / task script artifact management,
  and workflow execution.
domain: Scientific Data Engineering
tags:
  - Pipelines
  - Protocols
  - Task Scripts
  - IDS
  - Workflows
operations:
  - id: list-pipelines
    method: GET
    path: /v1/pipelines
    summary: List pipelines in the organization
  - id: get-pipeline
    method: GET
    path: /v1/pipelines/{pipelineId}
    summary: Get a single pipeline
  - id: create-pipeline
    method: POST
    path: /v1/pipelines
    summary: Create a new pipeline
  - id: update-pipeline
    method: PUT
    path: /v1/pipelines/{pipelineId}
    summary: Update a pipeline
  - id: delete-pipeline
    method: DELETE
    path: /v1/pipelines/{pipelineId}
    summary: Delete a pipeline
  - id: search-workflows
    method: GET
    path: /v1/workflows
    summary: Search workflow executions
  - id: get-workflow
    method: GET
    path: /v1/workflows/{workflowId}
    summary: Get a workflow execution
  - id: reprocess-files
    method: POST
    path: /v1/pipelines/{pipelineId}/reprocess
    summary: Reprocess files through a pipeline
  - id: list-ids
    method: GET
    path: /v1/artifacts/ids
    summary: List IDS artifacts
  - id: list-protocols
    method: GET
    path: /v1/artifacts/protocols
    summary: List protocol artifacts
  - id: list-task-scripts
    method: GET
    path: /v1/artifacts/taskScripts
    summary: List task script artifacts
exposers:
  rest:
    type: openapi
    spec: ../openapi/tetrascience-openapi.yml
  mcp:
    enabled: true
    description: Expose pipeline lifecycle and workflow execution as MCP tools.