# OBS Studio

> Use this tool when you need to automate streaming workflows, manage scenes and sources, or control recording and broadcasting programmatically. It solves problems related to stream management, scene switching, and source control by providing a comprehensive set of tools through the OBS WebSocket protocol. With inputs such as tool calls and environment variables, and outputs including scene and source control, it is ideal for use cases like automated streaming and broadcast control, allowing for seamless integration with AI assistants.

Canonical page: https://skillsregistry.net/skills/royshil-obs  
JSON: https://api.skillsregistry.net/v1/skills/royshil-obs

## Description

OBS MCP Server provides a bridge between AI assistants and OBS Studio through the OBS WebSocket protocol. It exposes a comprehensive set of tools organized by category - including scene management, source control, streaming operations, and transitions - allowing users to control OBS functionality programmatically. The server connects to a running OBS instance, handles authentication via environment variables, and translates MCP tool calls into WebSocket commands, making it valuable for automating streaming workflows, managing scenes and sources, and controlling recording or broadcasting without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/royshil-obs)
- **Repository:** <https://github.com/royshil/obs-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": "royshil-obs"
    }
  }
}
```

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