MCP Server

MCP server for Kling AI video generation

Remote serverstreamable-httpPython

What is the MCP MCP server?

MCP server for Kling AI video generation. Exposed over MCP by the mcp mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.

What it actually does

Generate AI videos, extend clips, and transfer motion directly from Claude, VS Code, or any MCP-compatible client.

  • Text to Video — - Create AI-generated videos from text prompts
  • Image to Video — - Generate videos using reference start/end images
  • Video Extension — - Extend existing videos with additional content
  • Motion Transfer — - Transfer motion from a reference video to a character image
  • Multiple Models — - Support for 9 Kling models, including V3, V3 Omni, and canonical Kling O1
  • Camera Control — - Fine-grained camera movement control

Its toolset

Everything the assistant can do here goes through one of these:

  • Cline — The Cline tool exposed by this server

Configuration

You will need 3 environment variables: ACEDATACLOUD_API_TOKEN, YOUR_API_TOKEN, ACEDATACLOUD_API_BASE_URL. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Adding it to your client

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

When to reach for it

This sits in the planning and project tracking group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. MCP's toolset — Cline — is a fair guide to whether it matches your workflow. It is maintained by AceDataCloud; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Caveats

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the mcp mcp server does with a few real requests.

Available tools

ToolWhat it does
ClineThe Cline tool exposed by this server.

How to install the MCP MCP server

{
  "mcpServers": {
    "kling": {
      "type": "streamable-http",
      "url": "https://kling.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
ACEDATACLOUD_API_TOKENCredential the server authenticates with.Yes
YOUR_API_TOKENCredential the server authenticates with.Yes
ACEDATACLOUD_API_BASE_URLEndpoint or connection string the server talks to.Yes

Example prompts to try

  • Use MCP to Cline.

Frequently asked questions

It connects MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 1 tool (Cline) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP directly.