Pipe2.ai

Reviewed Jan 1, 2000.

• tools: 5 tools scanned
• metadata: scanned

No findings.

Tools (5)

• get_pipeline_run_status

  Check the status of a pipeline run. Returns status (pending/running/completed/failed), output data, error messages, timestamps, and generated asset URLs.

• get_pipeline_schema

  Get the input schema for a specific pipeline. Returns the JSON Schema describing required and optional input fields. Use this before running a pipeline to understand what inputs are needed.

• list_pipelines

  List all available AI video/image pipelines. Returns name, slug, description, category, credit cost, and required providers for each active pipeline.

• request_upload

  Request a presigned S3 upload URL for a file. Use this for pipeline inputs that require file URLs (e.g., images, videos, audio). **Two-step upload flow:** 1. Call this tool with filename and content_type to get a presigned upload URL and final asset URL 2. PUT the file contents to the upload_url (presigned, expires in 5 minutes) 3. Use the asset_url as the input value when running a pipeline Supported content types: image/* (max 10MB), video/* (max 50MB), audio/* (max 20MB)

• run_pipeline

  Run an AI pipeline by slug with the given input. Use list_pipelines to discover available pipelines and get_pipeline_schema to see required inputs. Returns a run ID for tracking status.