ai.pipe2/mcp

name:ai.pipe2/mcp

Run multi-step AI pipelines for video, image, audio and text: upload media, run, poll results.

transport:: remote
credential class:: self-provisionable

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Tools

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

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