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Creatify MCP Server

MCP Server

AI‑Powered Video Generation via MCP

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Updated Sep 11, 2025

About

The Creatify MCP Server exposes Creatify AI’s video creation platform to AI assistants, chatbots, and automation tools. It transforms complex video workflows into simple natural‑language commands with real‑time progress, logging, and notifications.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The Creatify MCP Server is a turnkey solution that brings the full power of Creatify AI’s video‑generation platform into any Model Context Protocol (MCP) workflow. By exposing a rich set of tools, prompts, and real‑time progress notifications over the MCP interface, it lets AI assistants—Claude, Jasper, or custom chatbots—create, edit, and publish videos with a single natural‑language command. This removes the need for developers to write custom SDK integrations or manage authentication flows, enabling rapid prototyping and production‑grade automation.

At its core, the server maps Creatify’s REST API into MCP actions. Developers can call tools such as , , or directly from the assistant’s prompt. Each tool accepts a structured JSON payload that mirrors Creatify’s own schema, so the assistant can generate complex parameters (e.g., avatar style, background music, script length) without exposing low‑level details. The server also supplies reusable prompts—predefined templates that bundle multiple tool calls into a single workflow, making it easy to implement common use cases like “produce a 60‑second TikTok clip of an avatar explaining a product feature.”

Real‑time feedback is another key advantage. The server streams progress updates back to the assistant, allowing it to report status (“Rendering… 45% complete”) or even abort a job if needed. Structured logging and notification hooks mean that developers can monitor usage, capture metrics, or trigger downstream actions (e.g., uploading the finished video to a CDN) without touching the assistant’s code. The tool further lowers the learning curve by providing parameter descriptions and usage examples directly to the assistant, so it can guide users through complex video‑creation workflows.

Typical scenarios include marketing automation (auto‑generating product demo videos), content creation pipelines (turning blog posts into engaging video summaries), and interactive storytelling (creating multi‑avatar conversations for educational apps). Because the server is built on top of a TypeScript client library, developers benefit from type safety and IDE support while keeping the MCP contract simple. In short, Creatify MCP Server turns advanced AI video generation into a plug‑and‑play capability that scales with any assistant, unlocking creative possibilities that were previously limited to specialized software.