Pipe2.ai
Run multi-step AI pipelines for video, image, audio and text: upload media, run, poll results.
От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетБез входаГлобальныйБесплатноТолько чтение
Что умеет
Какие данные видит
Нужен ли аккаунт
Не нужен: сервер работает без входа
Run multi-step AI pipelines for video, image, audio and text: upload media, run, poll results.
Список инструментов сервера (5)
Технические названия из tools/list. Нужны только разработчикам.
| 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. |