# mcp-veo

## Quick Start

```bash
# Connect this server (installs CLI if needed)
npx -y @smithery/cli@latest mcp add acedatacloud-mcp/mcp-veo

# Browse available tools
npx -y @smithery/cli@latest tool list acedatacloud-mcp/mcp-veo

# Get full schema for a tool
npx -y @smithery/cli@latest tool get acedatacloud-mcp/mcp-veo veo_list_models

# Call a tool
npx -y @smithery/cli@latest tool call acedatacloud-mcp/mcp-veo veo_list_models '{}'
```

## Direct MCP Connection

Endpoint: `https://mcp-veo--acedatacloud-mcp.run.tools`

**Required config:**
- `x-api-key` (header) — AceDataCloud API Bearer Token (get from https://platform.acedata.cloud)

## Tools (8)

- `veo_list_models` — List all available Veo models and their capabilities.
- `veo_list_actions` — List all available Veo API actions and corresponding tools.
- `veo_get_prompt_guide` — Get guidance on writing effective prompts for Veo video generation.
- `veo_get_task` — Query the status and result of a video generation task.
- `veo_get_tasks_batch` — Query multiple video generation tasks at once.
- `veo_text_to_video` — Generate AI video from a text prompt using Veo.
- `veo_image_to_video` — Generate AI video from one or more reference images using Veo.
- `veo_get_1080p` — Get the 1080p high-resolution version of a generated video.

```bash
# Get full input/output schema for a tool
npx -y @smithery/cli@latest tool get acedatacloud-mcp/mcp-veo <tool-name>
```

## Prompts (3)

- `veo_video_generation_guide` — Guide for choosing the right Veo tool for video generation.
- `veo_workflow_examples` — Common workflow examples for Veo video generation.
- `veo_style_suggestions` — Style and prompt writing suggestions for Veo.