# kie-mcp

> kie-mcp — pym-kie-mcp. Use this tool when you need to generate images and videos using Kie.ai, as it provides a Rust MCP stdio server for seamless integration and automation of media creation tasks, accepting input via standard input and outputting generated media. It solves problems related to automated content generation, such as producing visuals for various applications. Ideal for use cases involving dynamic image and video production, especially when integrated with version control systems like git.

Canonical page: https://skillsregistry.net/skills/pym-kie-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pym-kie-mcp

## Description

Rust MCP stdio server for Kie.ai image and video generation

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Pym/kie-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": "pym-kie-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pym-kie-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pym-kie-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