MCP Server

MCP server for Google Veo AI video generation

Remote serverstreamable-httpPython

What is the MCP MCP server?

MCP server for Google Veo AI video generation. That is what the mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

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

  • 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

Getting it running

Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.

The tools it exposes

The server publishes 3 tools. What each one is for:

  • Cline — The Cline tool exposed by this server
  • Tasks — The Tasks tool exposed by this server
  • Information — The Information tool exposed by this server

What it needs from you

Configuration is passed through the environment: ACEDATACLOUD_API_TOKEN, YOUR_API_TOKEN, ACEDATACLOUD_API_BASE_URL, ACEDATACLOUD_OAUTH_CLIENT_ID, ACEDATACLOUD_PLATFORM_BASE_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Things to watch

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How it compares

This sits in the planning and project tracking group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. MCP's toolset — Cline, Tasks, Information — is a fair guide to whether it matches your workflow. It is maintained by AceDataCloud; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Available tools

ToolWhat it does
ClineThe Cline tool exposed by this server.
TasksThe Tasks tool exposed by this server.
InformationThe Information tool exposed by this server.

How to install the MCP MCP server

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

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
ACEDATACLOUD_API_TOKENCredential the server authenticates with.Yes
YOUR_API_TOKENCredential the server authenticates with.Yes
ACEDATACLOUD_API_BASE_URLEndpoint or connection string the server talks to.Yes
ACEDATACLOUD_OAUTH_CLIENT_IDConfiguration value read at startup.Optional
ACEDATACLOUD_PLATFORM_BASE_URLEndpoint or connection string the server talks to.Yes

Example prompts to try

  • Use MCP to Cline.
  • Use MCP to Tasks.
  • Use MCP to Information.

Frequently asked questions

It connects MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 3 tools (Cline, Tasks, Information) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP directly.