# KlingMCP

> KlingMCP — acedatacloud-klingmcp. Use this tool when you need to generate AI videos using Kling AI via the AceDataCloud API, solving content creation and video production challenges. It acts as an MCP server, accepting input requests and outputting generated videos, streamlining the video creation process. Ideal for use cases requiring automated video content generation, such as social media, advertising, or educational materials.

Canonical page: https://skillsregistry.net/skills/acedatacloud-klingmcp  
JSON: https://api.skillsregistry.net/v1/skills/acedatacloud-klingmcp

## Description

MCP server for Kling AI video generation via AceDataCloud API

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/AceDataCloud/KlingMCP)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "acedatacloud-klingmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/acedatacloud-klingmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/acedatacloud-klingmcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt