Run Pipelines
Generate AI videos and images by describing what you want in natural language. The assistant handles file uploads, pipeline selection, and parameter configuration.
Pipe2.ai exposes a Model Context Protocol (MCP) server that lets AI assistants — like Claude Desktop, Cursor, ChatGPT, and others — interact with your pipelines directly through natural language.
With the Pipe2.ai MCP server, AI assistants can:
Run Pipelines
Generate AI videos and images by describing what you want in natural language. The assistant handles file uploads, pipeline selection, and parameter configuration.
Check Status
Monitor pipeline runs with real-time status updates. Get notified when your generation completes or if something goes wrong.
Manage Assets
Browse, filter, and retrieve your generated assets — images, videos, and audio files — all through conversation.
Track Credits
Check your credit balance and transaction history without leaving your AI assistant.
The MCP server runs as a dedicated service and communicates with Pipe2.ai’s backend:
AI Assistant (Claude, Cursor, etc.) ↓ MCP Protocol (HTTP)Pipe2.ai MCP Server ↓Pipe2.ai Backend APITransport modes:
/mcp) — primary transport, recommended for most clients--stdio flag) — for CLI integrations like claude mcp addThe Pipe2.ai server is listed publicly, so clients that install MCP servers for you can find it without any hand-written config.
Both point at the same server described above. Connecting directly with the URL in Setup works identically and keeps the OAuth flow between you and Pipe2.ai.