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Image to Video AI

Animate uploaded photos into videos, with tools for asset selection, credit quotes, generation, and result retrieval.

Install Image to Video AI

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Streamable HTTP (Remote)
Server URL
https://imagetovideoai.tools/api/mcp

Remote servers are added in the app, not the config file: Customize → Connectors → Add custom connector, then paste this URL.

Hosted endpointLive · 3d agoLive Remote EndpointOur automated health check connected to this remote MCP endpoint successfully.Last checked 3d ago · Nov 10, 2026, 19:30 UTC

Clients with native remote MCP support can connect directly to this URL.

Remote endpoint
https://imagetovideoai.tools/api/mcp

Overview

Image to Video AI connects an MCP client to an account’s uploaded photos and turns a selected image into a video. Image to Video AI uses Streamable HTTP with a temporary Bearer token and exposes tools for listing assets, checking generation costs, starting jobs, and retrieving finished video links. Request a quote before generating so the user can review credit usage and visibility. Reach for it when an agent needs to animate existing account images rather than upload new media.

Use cases

  • List uploaded photos for an agent-selected animation
  • Preview credit costs before generating a video
  • Generate videos from approved account images
  • Retrieve completed video links from generation tasks

Key features

  • Streamable HTTP MCP endpoint
  • Temporary Bearer token authentication
  • Uploaded image asset discovery
  • Credit and settings quotes
  • Video generation with retry request IDs
  • Completed video link retrieval

Tools4

What Image to Video AI lets your agent do. Expand a tool for its parameters.

Verified live~447 tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked

Recent health check succeeded.

What it can do

From the 4 tools this server returned when we ran it.

Read-only tools · 4

Observed 2026-11-10 in an isolated sandbox. A description of reach, not a security audit.

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

MaintenanceActively maintainedStatus declared by the project or listing owner.
Tools exposed4Callable tools this server registers over MCP.

How Image to Video AI works

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.

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Frequently Asked Questions about Image to Video AI

Image to Video AI is an MCP server that connects an MCP client to an account’s uploaded image assets and video-generation workflow. Its main tools list images, quote credit costs and settings, generate a video from a selected photo, and retrieve the finished video link over Streamable HTTP.

You do not need a local installation; configure an MCP client to use the hosted Streamable HTTP endpoint at https://imagetovideoai.tools/api/mcp. Supply a temporary Bearer token through the client’s HTTP authentication settings.

First list uploaded image assets, then request a generation quote for the chosen image. Confirm the credit cost and visibility with the user before calling generate_video, and use get_generation to retrieve the video link when the task is ready.

Yes, the image must already be uploaded to the connected account. Use list_image_assets to find an available photo and pass its ID into the quote and generation workflow.

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