# Image to Video AI [Health: Active]

**Category:** 🎥 Multimedia Process  
**Repository:** https://imagetovideoai.tools/api/mcp  
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**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/image-to-video-ai

## Description
Animate a photo already uploaded to your account. Find images, preview credit cost and visibility, generate a video, and retrieve the finished link. Use a temporary Bearer token over Streamable HTTP.

## Tools
Capabilities this server exposes over MCP:

- **list_image_assets** — List photos already uploaded to the connected account. Use an ID from this list to generate a video.
- **quote_generation** — Check the credit cost and settings for turning an uploaded photo into a video. Does not start generation.
- **generate_video** — Animate one uploaded photo. This spends credits. Get a quote first and confirm cost and visibility with the user. Retry with the same request_id and inputs.
- **get_generation** — Check a task belonging to the connected account and get its video link when ready.

## Claude Desktop Quick Installation
Remote MCP endpoint (confidence: medium). Install path inferred — verify against the README before running it. Add as a URL/SSE server in your client:

```json
"mcpServers": {
  "image-to-video-ai": {
    "url": "https://imagetovideoai.tools/api/mcp"
  }
}
```

## Documentation

## What Image to Video AI does

Image to Video AI gives an MCP client access to an account’s existing image assets and the workflow for animating them into videos. It does not begin with a local file upload; the image must already be available in the connected account. An agent can discover eligible photos, inspect the expected credit cost and settings, submit a generation request, and check the resulting task.

The service is suited to agent-driven image animation workflows where the user needs visibility into cost before spending credits. The generation step also includes visibility settings, so an agent should confirm both the cost and intended visibility with the user before proceeding.

## How it works

The normal sequence is:

1. List the account’s uploaded image assets and select an image ID.
2. Request a quote for that image and review the credit cost and settings.
3. Confirm the cost and visibility with the user.
4. Start video generation with the selected image and approved settings.
5. Check the generation task until the finished video link is available.

Generation consumes credits. If a request needs to be retried, reuse the same `request_id` and inputs rather than creating a different request.

## Setup and configuration

The endpoint is available at `https://imagetovideoai.tools/api/mcp` and communicates over Streamable HTTP. Requests use a temporary Bearer token associated with the connected account. Configure the MCP client to connect to that URL and supply the token through the client’s HTTP authentication settings. Because the token is temporary, clients or agents should handle its lifetime according to the account’s authentication flow.

No local runtime or package installation is needed to call the hosted endpoint. The account must contain the image to be animated, and the authenticated connection must be able to access that account’s assets and generation tasks.

## Tools and capabilities

- `list_image_assets` returns photos already uploaded to the connected account. Use an asset ID from the result in later calls.
- `quote_generation` previews the credit cost and relevant settings for animating a selected photo. It does not start a job or spend credits.
- `generate_video` submits an image-animation request and spends credits. It supports retries using the same request ID and inputs.
- `get_generation` checks a generation task belonging to the connected account and returns its video link when the work is complete.

Together, these tools expose both the planning and execution stages, allowing an agent to separate cost approval from generation and result retrieval.

_Full upstream README: https://allmcps.com/mcp/image-to-video-ai/readme_