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registry/pipe2-mcp
Connection check verified live · 20h ago

pipe2-mcp

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

Tools 5
GitHub stars
Installs / wk
Licence
Transport streamable-http
Last checked 20h ago

Tools & capabilities

5 tools

Read from the running server on 20h ago.

get_pipeline_run_status read-only run_id*
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 read-only pipeline_slug*
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 ar…
list_pipelines read-only
List all available AI video/image pipelines. Returns name, slug, description, category, credit cost, and required providers for each active pipeline.
request_upload filename*content_type*
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 f…
run_pipeline can modify data input*pipeline_slug*
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 st…