ai.pipe2/mcp

up checked 2026-11-11T06:39:05.193Z

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Publisher-provided title

Pipe2.ai

Publisher-provided description

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

Summary by lookupd

Runs multi-step AI pipelines on uploaded video, image, audio or text and polls results for generated assets.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http mcp https://mcp.pipe2.ai/mcp

Codex, remote (streamable-http)

codex mcp add mcp --url https://mcp.pipe2.ai/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.pipe2.ai/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Publisher-provided text

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 under
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. C
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 ru

Shows this live status and links here; updates hourly.

[![lookupd status](https://lookupd.com/badge/ai.pipe2/mcp.svg)](https://lookupd.com/servers/ai.pipe2/mcp)