MCPVeo MCP Server

1

Add it to Claude Code

Run this in a terminal.

Run in terminal
claude mcp add --transport http -H "Authorization: Bearer YOUR_API_TOKEN" mcp-veo https://veo.mcp.acedata.cloud/mcp
Required:Authorization
README.md

AI video generation with Google Veo through the AceDataCloud API

MCP Veo

A Model Context Protocol (MCP) server for AI video generation using Veo through the AceDataCloud API.

Generate AI videos from text prompts or images directly from Claude, VS Code, or any MCP-compatible client.

Features

  • Text to Video - Create AI-generated videos from text descriptions
  • Image to Video - Animate images or create transitions between images
  • Multi-Image Fusion - Blend elements from multiple images
  • 1080p Upscaling - Get high-resolution versions of generated videos
  • Task Tracking - Monitor generation progress and retrieve results
  • Multiple Models - Choose between quality and speed with various Veo models

Quick Start

1. Get Your API Token

  1. Sign up at AceDataCloud Platform
  2. Go to the API documentation page
  3. Click "Acquire" to get your API token
  4. Copy the token for use below

2. Use the Hosted Server (Recommended)

AceDataCloud hosts a managed MCP server — no local installation required.

Endpoint: https://veo.mcp.acedata.cloud/mcp

All requests require a Bearer token. Use the API token from Step 1.

Claude.ai

Connect directly on Claude.ai with OAuth — no API token needed:

  1. Go to Claude.ai Settings → Integrations → Add More
  2. Enter the server URL: https://veo.mcp.acedata.cloud/mcp
  3. Complete the OAuth login flow
  4. Start using the tools in your conversation
Claude Desktop

Add to your config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "veo": {
      "type": "streamable-http",
      "url": "https://veo.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
Cursor / Windsurf

Add to your MCP config (.cursor/mcp.json or .windsurf/mcp.json):

{
  "mcpServers": {
    "veo": {
      "type": "streamable-http",
      "url": "https://veo.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
VS Code (Copilot)

Add to your VS Code MCP config (.vscode/mcp.json):

{
  "servers": {
    "veo": {
      "type": "streamable-http",
      "url": "https://veo.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Or install the Ace Data Cloud MCP extension for VS Code, which bundles all 11 MCP servers with one-click setup.

JetBrains IDEs
  1. Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)
  2. Click AddHTTP
  3. Paste:
{
  "mcpServers": {
    "veo": {
      "url": "https://veo.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
Claude Code

Claude Code supports MCP servers natively:

claude mcp add veo --transport http https://veo.mcp.acedata.cloud/mcp \
  -h "Authorization: Bearer YOUR_API_TOKEN"

Or add to your project's .mcp.json:

{
  "mcpServers": {
    "veo": {
      "type": "streamable-http",
      "url": "https://veo.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
Cline

Add to Cline's MCP settings (.cline/mcp_settings.json):

{
  "mcpServers": {
    "veo": {
      "type": "streamable-http",
      "url": "https://veo.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
Amazon Q Developer

Add to your MCP configuration:

{
  "mcpServers": {
    "veo": {
      "type": "streamable-http",
      "url": "https://veo.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
Roo Code

Add to Roo Code MCP settings:

{
  "mcpServers": {
    "veo": {
      "type": "streamable-http",
      "url": "https://veo.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
Continue.dev

Add to .continue/config.yaml:

mcpServers:

Tools (2)

generate_videoCreate AI-generated videos from text descriptions or images
get_task_statusMonitor generation progress and retrieve results

Environment Variables

AuthorizationrequiredBearer token from AceDataCloud platform

Configuration

claude_desktop_config.json
{"mcpServers": {"veo": {"type": "streamable-http", "url": "https://veo.mcp.acedata.cloud/mcp", "headers": {"Authorization": "Bearer YOUR_API_TOKEN"}}}}

Try it

Generate a 5-second video of a futuristic city skyline at sunset using the high-quality Veo model.
Animate this image of a mountain landscape to show a gentle snowfall.
Check the status of my video generation task with ID 12345.
Create a video transition between these two images of a forest and a beach.

Frequently Asked Questions

What are the key features of MCPVeo?

Text to Video generation from descriptive prompts. Image to Video animation and transitions. Multi-Image Fusion for blending visual elements. 1080p Upscaling for high-resolution output. Task tracking to monitor generation progress.

What can I use MCPVeo for?

Creating custom video content for social media directly from a chat interface. Prototyping visual concepts by animating static design mockups. Generating high-quality B-roll footage for video editing projects. Automating the creation of visual assets for presentations or marketing materials.

How do I install MCPVeo?

Install MCPVeo by running: Add to ~/Library/Application Support/Claude/claude_desktop_config.json

What MCP clients work with MCPVeo?

MCPVeo works with any MCP-compatible client including Claude Desktop, Claude Code, Cursor, and other editors with MCP support.

Turn this server into reusable context

Keep MCPVeo docs, env vars, and workflow notes in Conare so your agent carries them across sessions.

Need the old visual installer? Open Conare IDE.
Open Conare