AI & Machine Learning

pipe2.ai

Provides an interface to manage and run AI video/image pipelines, including listing available pipelines, submitting runs, and checking their status.

1 endpoint5 known toolsFirst detected August 1, 2026Last detected September 1, 2026

ENDPOINT 1

https://mcp.pipe2.ai/mcp

No auth detected

MCP server metadata

Name: pipe2-ai
Version: 1.0.0

Capabilities

prompts.listChangedresources.listChangedtools.listChanged

Server instructions

Pipe2.ai MCP Server — create viral videos using AI pipelines. Use list_pipelines to discover available pipelines, then run them with your inputs.

Known tools 5

get_pipeline_run_status

Check the status of a pipeline run.

Inferred read-only

get_pipeline_schema

Get the input schema for a specific pipeline.

Inferred read-only

list_pipelines

List all available AI video/image pipelines.

Inferred read-only

request_upload

Request a presigned S3 upload URL for a file.

Potential side effects

run_pipeline

Run an AI pipeline by slug with the given input.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.pipe2-ai]
url = "https://mcp.pipe2.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "pipe2-ai": {
      "type": "http",
      "url": "https://mcp.pipe2.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: pipe2-ai
Remote MCP URL: https://mcp.pipe2.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "pipe2-ai": {
      "type": "http",
      "url": "https://mcp.pipe2.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "pipe2-ai",
  "transport": "streamable-http",
  "url": "https://mcp.pipe2.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for pipe2.ai was fetched 2026-08-03T17:31:08.108Z and is being refreshed.

Trust status Neutral

pipe2.ai is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.