# kling-mcp

> Use this tool when you need to interact with Kling AI models for video generation and avatar tasks, enabling task creation, status tracking, and pricing checks through the RunAPI interface. It solves problems related to automating video and avatar generation workflows, providing a seamless interface for inputting task parameters and retrieving output results. Ideal for applications requiring dynamic video or avatar creation, such as digital content generation or virtual character development.

Canonical page: https://skillsregistry.net/skills/runapi-ai-kling-mcp  
JSON: https://api.skillsregistry.net/v1/skills/runapi-ai-kling-mcp

## Description

Enables interaction with Kling AI models for video generation and avatar tasks via RunAPI, including task creation, status polling, and pricing checks.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yoiuy35fdw)
- **Repository:** <https://github.com/runapi-ai/kling-mcp>

## 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": "runapi-ai-kling-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/runapi-ai-kling-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/runapi-ai-kling-mcp/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