MCP serverai.pipe2/mcp

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

UNRATEDActivestreamable-httpmcp.pipe2.ai

Overview

Score?

UNRATED 0.810

of what a free look can see, on 31 looks

Looks

last 7 hr ago

Tools

changed 16 days ago

URL

mcp.pipe2.ai/mcp

streamable-http

Says it is

pipe2-ai 1.0.0

protocol 2025-06-18

In the record since

32 days ago

0median 0.606 · this server 0.810 · highest on record 0.8561

The tools this server lists, read out of the definition it returned
Tool	Schema
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.	input · output
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 ar	input · output
list_pipelines List all available AI video/image pipelines. Returns name, slug, description, category, credit cost, and required providers for each active pipeline.	input · output
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 f	input · output
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 st	input · output

Verify it yourselfnpx teppi-check https://mcp.pipe2.ai/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ22H2YNKBQ3XAXJTF9K8F