# mcp-netflix

> mcp-netflix — markswendsen-code-mcp-netflix. Use this tool when you need to manage Netflix streaming services programmatically, enabling AI agents to control and automate tasks such as content recommendations and playback management. It solves problems related to streaming service automation and customization, providing a programmable interface for AI agents to interact with Netflix. The tool accepts API inputs and outputs streaming data, ideal for use cases requiring automated streaming control and personalized content curation.

Canonical page: https://skillsregistry.net/skills/markswendsen-code-mcp-netflix  
JSON: https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-netflix

## Description

MCP server for Netflix - let AI agents manage streaming

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/markswendsen-code/mcp-netflix)

## 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": "markswendsen-code-mcp-netflix"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-netflix` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-netflix/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