# VidFlux MCP [Health: Active]

**Category:** 🎥 Multimedia Process  
**Repository:** https://vidflux.ai/mcp  
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**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/vidflux-mcp

## Description
Hosted remote MCP server for AI video generation: let Claude, Cursor and Codex create videos with Veo 3.1, Kling 3.0, Seedance 2.5 and Hailuo H3.

## 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": {
  "vidflux-mcp": {
    "url": "https://vidflux.ai/mcp"
  }
}
```

## Documentation

## What VidFlux MCP does

VidFlux MCP connects MCP-compatible AI clients to VidFlux's hosted video-generation service. Its purpose is focused: enabling an agent to create videos through an MCP interface. The available generation engines are Veo 3.1, Kling 3.0, Seedance 2.5, and Hailuo H3.

This makes the server relevant to agent workflows that need to request AI-generated video from a conversational coding or productivity environment. It belongs to the Multimedia Process category, but its stated capability is specifically video generation rather than broad media conversion or editing.

## How it works

VidFlux MCP is hosted remotely at `vidflux.ai/mcp`. An MCP client connects to that hosted service, and the agent can then use its video-generation capability. The client-facing workflow is centered on creating videos and selecting among the supported generation models.

Claude, Cursor, and Codex are identified as compatible clients. The server is therefore suited to workflows where an agent operates inside one of those environments and needs to initiate video generation without incorporating a local video-generation package into the project.

## Setup and configuration

Use the hosted VidFlux MCP endpoint at `https://vidflux.ai/mcp` as the service location when configuring an MCP-compatible client. The service is presented as a remote server, so the integration is accessed through the hosted endpoint rather than described as a locally installed command-line server.

The named client options are Claude, Cursor, and Codex. Configuration details should be handled in the MCP connection settings for the selected client, with the VidFlux endpoint supplied as the server address.

## Tools and capabilities

- Create AI-generated videos from an MCP client.
- Use Veo 3.1 for video generation.
- Use Kling 3.0 for video generation.
- Use Seedance 2.5 for video generation.
- Use Hailuo H3 for video generation.
- Expose the capability to Claude, Cursor, and Codex.

The service is useful when the desired result is a generated video and the controlling interface is an AI client. Model choice is part of the available capability, allowing workflows to target one of the four named engines.

## Limitations and notes

VidFlux MCP is centered on AI video creation. The available model set consists of Veo 3.1, Kling 3.0, Seedance 2.5, and Hailuo H3. The service is remote and accessed through VidFlux's hosted MCP endpoint, rather than described as a local server that runs inside the user's project.

The explicitly named client integrations are Claude, Cursor, and Codex. Use it when those clients and a hosted video-generation workflow match the deployment requirements.

_Full upstream README: https://allmcps.com/mcp/vidflux-mcp/readme_