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Pipe2.ai

By pipe2All Pipe2 servers

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

First seen 2 Oct 2026. One server, whatever directories list it: each directory listing keeps its own page and history.

2
Directories
Collected by InvokeRank
5
Tools
From an anonymous probe
-
ToolBench grade
Not graded by Arcade
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GitHub stars
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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

Directory listings

DirectoryListingTierFirst seen
Official MCP RegistryPipe2.ai-2 Oct 2026
SmitheryPipe2.ai-2 Oct 2026