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pollo-mcp

v3.0.4

Published

Pollo AI Model Context Protocol (MCP) Server for video generation

Readme

Pollo MCP Server

Official Pollo Model Context Protocol (MCP) server that enables interaction with powerful Text to video generation APIs.

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>"
      }
    }
  }
}

Quickstart with Claude Desktop

Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json to add above config.

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

Tools

  • text2video

    • Generate video from text prompt.
    • Input: supports multiple models, for a detailed list, see Pollo AI API Platform
  • img2video

    • Generate video from image.
    • Input: supports multiple models, for a detailed list, 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