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Clipia Remote MCP Server: generate images & video in Claude, ChatGPT
All updates
New FeatureJune 12, 2026

Remote MCP server: Clipia in Claude, ChatGPT and Cursor

Connect Clipia to any AI agent over MCP and generate images and video right in the conversation — no copy-pasting links.

A glowing bridge between two clusters of nodes

The Clipia remote MCP server is an endpoint at mcp.clipia.ai/mcp that connects image and video generation to any AI agent over the Model Context Protocol (MCP). The agent sends the prompt, waits for the result and returns the finished file straight into the conversation — no copy-pasting links or switching tabs.

What you get

  • Generation in chat: Claude, ChatGPT, Cursor and other MCP clients create images and video without leaving the conversation.
  • 9 tools: submit a generation, poll status, check your credit balance, browse 50+ models and search 3,500+ templates.
  • Inline previews: the finished image appears right in the agent UI, with an original-quality button.
  • Sandbox: test keys (clipia_test_*) let you trial everything without spending credits.

Connect in a minute

Create an API key in the Developer Console, add the server https://mcp.clipia.ai/mcp to your agent and authenticate with a Bearer key. Step-by-step guides for Claude Code, Cursor and ChatGPT are in the documentation.

Who it is for

Remote MCP is for developers embedding generation into their own workflows and pipelines, and for anyone who works inside AI assistants and wants visuals without leaving the chat. Everything is billed in your Clipia account credits — no separate API subscription required.

FAQ

What is MCP? The Model Context Protocol is an open standard that lets AI agents plug in external tools. Clipia implements it as a remote server, so generation is available to the agent as a set of tools.

Which agents are supported? Any MCP client: Claude (Desktop and Code), Cursor, ChatGPT and others that support remote MCP over HTTP.

How much does it cost? Each generation deducts credits from your account at the model price; the cost of every call is returned in the response. The test sandbox runs with no charge.

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