Pollo MCP

​

Features

• Generate video from image or text prompt
• Get generation task status
• Automatically download the generated video

Note: Before using the service, you need to have the pollo.ai API key.

​

Installation

npm install -g pollo-mcp

​

Quick Start

Pollo MCP Server implements the Model Context Protocol (MCP) specification and can be used as a server to interact with MCP-compatible clients (such as Cursor).

​

Quickstart with Cursor

1. Get your API key from Pollo.ai.
2. Make sure that you already installed Node.js and npm

Go to Cursor → Preferences → Cursor Settings → MCP Tools → New MCP Server, add config

{
  "mcpServers": {
    "pollo.ai": {
      "command": "npx",
      "args": ["-y", "mcp-server-pollo"],
      "env": {
        "POLLO_AI_BASE_URL": "https://pollo.ai",
        "POLLO_AI_API_KEY": "<your-api-key>",
        "POLLO_AI_HOME_DIR": "<path to save generated videos>",
        "POLLO_AI_VIDEO_MODEL_IMG": "<Model for generating videos from images, optional, pollo-v1-6 is used by default, multiple models are separated by commas>",
        "POLLO_AI_VIDEO_MODEL_TEXT": "<Model for generating videos from text, optional, pollo-v1-6 is used by default, multiple models are separated by commas>"
      }
    }
  }
}

That’s it. Your MCP client can now interact with Pollo.ai through these tools.

​

Tools

• text2video

  • Generate video from text prompt.
  • Input: model(object)，supports multiple models, for a detailed list, see Pollo AI API Platform
    • modelBrand(required, string), e.g., pollo, kling-ai, runway.
    • modelAlias(required, string), e.g., pollo-v1-6, kling-v2, runway-gen-4-turbo.
    • prompt(required, string), the prompt of the generation
    • other model supported config, see Pollo AI API Platform

• img2video

  • Generate video from image.
  • Input: model(object)，supports multiple models, for a detailed list, see Pollo AI API Platform
    • modelBrand(required, string), e.g., pollo, kling-ai, runway.
    • modelAlias(required, string), e.g., pollo-v1-6, kling-v2, runway-gen-4-turbo.
    • any of
      • imagePath(string) and imageTailPath(string)，the local image path used to generate the video
      • image(string) and imageTail(string), the image url used to generate the video. Only image URLs are accepted; base64 is not allowed.
    • other model supported config, see Pollo AI API Platform

• getTaskStatus

  • Check generation task status, and automatically download the completed video.
  • Inputs:
    • taskId (string): generation task id returned by text2video and img2video