Skip to content
Official MCP RegistryListed

Pipe2.ai

Part ofPipe2.ailisted on 2 directories

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

First seen 2 Oct 2026. Evidence as of 8 Oct 2026.

5
Tools
From an anonymous probe
1
Source listings
Each with its own history
0
Recorded changes
Since first seen

Tools

ToolDescriptionBehaviour
get_pipeline_run_statusCheck the status of a pipeline run. Returns status (pending/running/completed/failed), output data, error messages, timestamps, and generated asset URLs.Read-only
get_pipeline_schemaGet 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.Read-only
list_pipelinesList all available AI video/image pipelines. Returns name, slug, description, category, credit cost, and required providers for each active pipeline.Read-only
request_uploadRequest 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)Changes data
run_pipelineRun 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.Destructive

Change history

No changes since the first observation. The first snapshot is the baseline.

Source listings
SourceListingFirst seenLast seenVersions
Official MCP Registryai.pipe2/mcp2 Oct 20268 Oct 20261