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
- Sign up at AceDataCloud Platform
- Go to the API documentation page
- Click "Acquire" to get your API token
- 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:
- Go to Claude.ai Settings → Integrations → Add More
- Enter the server URL:
https://veo.mcp.acedata.cloud/mcp - Complete the OAuth login flow
- 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
- Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)
- Click Add → HTTP
- 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 imagesget_task_statusMonitor generation progress and retrieve resultsEnvironment Variables
AuthorizationrequiredBearer token from AceDataCloud platformConfiguration
{"mcpServers": {"veo": {"type": "streamable-http", "url": "https://veo.mcp.acedata.cloud/mcp", "headers": {"Authorization": "Bearer YOUR_API_TOKEN"}}}}