OBS MCP
Enables AI assistants to control and automate OBS Studio via natural language, covering scenes, sources, audio, recording, streaming, transitions, filters, media playback, diagnostics, and multi-step workflows over the OBS WebSocket protocol.
README
OBS MCP — AI Broadcast Control & Automation for OBS Studio
An MCP (Model Context Protocol) server that turns an AI assistant into an AI broadcast operator for OBS Studio. Describe what you want in natural language — the server handles scenes, sources, audio, recording, streaming, transitions, filters, media playback, diagnostics and multi-step workflows over the OBS WebSocket 5.x protocol.
AI Assistant (Claude, opencode, Cursor, ...)
│ MCP (stdio / sse / streamable-http)
▼
OBS MCP Server
┌─────────────────────────────┐
│ Control / Monitoring │
│ Diagnostics / Automation │
│ Safety layer (confirmation) │
└──────────────┬──────────────┘
│ OBS WebSocket (default port 4455)
▼
OBS Studio
(obs-websocket)
89 tools, 107 tests, no OBS required to run the test suite.
Table of contents
- What you can do
- Requirements
- Setup OBS (do this first)
- Installation
- Configuration
- Connecting an AI assistant (MCP client)
- Running the server
- Safety model
- Example session
- Testing
- Project structure
- Troubleshooting
What you can do
Connection & status
get_obs_status · get_obs_stats · obs_help
Scene management
list_scenes · get_current_scene · switch_scene · create_scene ·
rename_scene · delete_scene · duplicate_scene ·
get_scene_sources · add_source_to_scene · remove_source_from_scene
Source (input) management
list_sources · get_source · get_source_available_kinds ·
create_source · update_source · delete_source · duplicate_source ·
show_source · hide_source · set_source_visibility_in_all_scenes
Positioning & layout
get_source_transform · set_source_transform (move / scale / rotate /
crop) · set_source_index (z-order)
Transitions & studio mode
get_transitions · set_scene_transition · set_transition_duration ·
get_studio_mode_status · set_studio_mode · set_preview_scene ·
trigger_transition
Audio
list_audio_sources · get_audio_status · get_volume · set_volume ·
mute_source · unmute_source · set_audio_monitor ·
set_audio_sync_offset · set_audio_track
Filters
list_filters · add_filter · remove_filter · get_filter_settings ·
set_filter_settings · reorder_filters · toggle_filter
Recording & replay buffer
get_recording_status · start_recording · stop_recording ·
pause_recording · resume_recording · get_record_directory ·
set_record_directory · get_replay_buffer_status · start_replay_buffer
· stop_replay_buffer · save_replay_buffer
Streaming
get_stream_status · start_stream · stop_stream · get_stream_health ·
get_stream_service_settings · set_stream_settings ·
get_output_settings · set_output_settings
Media & VLC playback
media_control (play / pause / stop / restart / next / previous) ·
get_media_time · set_media_time
Hotkeys & configuration
get_hotkey_list · trigger_hotkey · get_video_settings ·
set_video_settings · list_profiles · set_current_profile ·
create_profile · list_scene_collections ·
set_current_scene_collection · create_scene_collection
Diagnostics
diagnose_obs (full health check) · diagnose_stream ·
diagnose_recording · diagnose_audio
Automation workflows
prepare_recording · prepare_stream · start_recording_session ·
end_session
Requirements
- Python 3.10+
- OBS Studio (any recent version — 28+; tested on 32.x) with the built-in WebSocket server enabled
- One of these AI assistants (any MCP client works):
- opencode
- Claude Desktop
- Cursor
- Any MCP-capable client
Setup OBS (do this first)
- Install OBS Studio from obsproject.com.
- Enable the WebSocket server:
- OBS menu: Tools → WebSocket Server Settings…
- Check Enable WebSocket server
- Note the Server Port (default
4455) - Check Require authentication and set a password — the server refuses to connect without credentials for security reasons. Save it; you will need it in the next step.
- Prepare your scenes and sources (optional but recommended):
- Create scenes (e.g.
Intro,Coding,BrB) via Scene dock or+button in the Sources dock. - Add sources (webcam, display capture, audio, media) and arrange them.
- If you plan to use the automation workflows, decide which scene is the "recording scene" and which is the "stream scene".
- Create scenes (e.g.
- Leave OBS running while you use the AI assistant. The server connects lazily and reconnects automatically if OBS restarts.
- (Optional) To verify everything works before wiring the AI assistant, run the included demo client — see Testing.
Installation
git clone <this-repo> && cd obs-mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -e .
This installs the obs-mcp command into the virtual environment
(.venv/bin/obs-mcp). All examples below assume the venv is active or use
the full path .venv/bin/obs-mcp.
Configuration
Copy the example file and fill in your OBS WebSocket password:
cp .env.example .env
# edit .env, set OBS_PASSWORD to the password you configured in OBS
The server reads the .env file in the project directory, plus any
OBS_* environment variables you export (environment variables win).
| Variable | Default | Description |
|---|---|---|
OBS_HOST |
localhost |
OBS WebSocket host |
OBS_PORT |
4455 |
OBS WebSocket port (must match Tools → WebSocket Server Settings) |
OBS_PASSWORD |
(empty) | WebSocket auth password — required when OBS requires authentication |
OBS_REQUIRE_CONFIRMATION_HIGH |
true |
Gate high-risk ops (stream start/stop, deletes) behind confirm=True |
OBS_REQUIRE_CONFIRMATION_MEDIUM |
false |
Gate medium-risk ops (audio, recording) behind confirm=True |
OBS_CONNECT_TIMEOUT |
5 |
Seconds to wait for a connection attempt |
OBS_RECORDING_SCENE |
(empty) | Scene used by prepare_recording / start_recording_session (empty = current scene) |
OBS_STREAM_SCENE |
(empty) | Scene used by prepare_stream (empty = current scene) |
OBS_LOG_LEVEL |
INFO |
Logging verbosity: DEBUG, INFO, WARNING, ERROR |
Security note
OBS_PASSWORD is the same credential that grants full control of your OBS
instance (start streams, delete scenes). Never commit it to version control
(.env is git-ignored), and use a strong password if your machine is
network-exposed.
Connecting an AI assistant (MCP client)
opencode
Add a mcp entry to opencode.json (usually ~/.config/opencode/opencode.json):
{
"mcp": {
"obs-mcp": {
"type": "local",
"command": [
"/path/to/obs-mcp/.venv/bin/obs-mcp"
],
"enabled": true,
"environment": {
"OBS_HOST": "localhost",
"OBS_PORT": "4455",
"OBS_PASSWORD": "your-obs-websocket-password"
}
}
}
}
Restart opencode, then ask it things like "check OBS status".
Claude Desktop
Add to claude_desktop_config.json (Claude → Settings → Developer):
{
"mcpServers": {
"obs-mcp": {
"command": "/path/to/obs-mcp/.venv/bin/obs-mcp",
"args": [],
"env": {
"OBS_HOST": "localhost",
"OBS_PORT": "4455",
"OBS_PASSWORD": "your-obs-websocket-password"
}
}
}
}
Other clients (Cursor, VS Code, generic)
Point the client at the stdio binary. If your client only supports HTTP
servers, run the server with --transport sse or --transport streamable-http
and give it the URL of the running server.
Running the server
The server is normally launched by your MCP client, but you can also run it standalone to check it starts cleanly:
obs-mcp # stdio transport (default, what MCP clients use)
obs-mcp --transport sse # SSE HTTP transport
obs-mcp --transport streamable-http
python -m server.mcp_server # equivalent to obs-mcp
A successful stdio start prints nothing but the MCP handshake — clients
usually show the server as connected. You can verify OBS connectivity by
calling get_obs_status from your assistant, or by running the demo client
(needs OBS running):
python examples/demo_client.py
Safety model
Operations are classified by risk in server/safety/permissions.py:
| Level | Examples | Default policy |
|---|---|---|
| Low | status, lists, get_*, switch scene, show/hide source |
runs automatically |
| Medium | volume/mute, create/rename scene, source settings, recording | runs automatically (can be gated via OBS_REQUIRE_CONFIRMATION_MEDIUM=true) |
| High | start/stop stream, delete scene/source, end_session |
requires confirm=true |
High-risk tools return confirmation_required unless the caller passes
confirm=True — i.e. the AI asks the human first, then proceeds only with
explicit confirmation.
Example session
User: Check OBS.
AI: OBS is connected. Current scene: Coding. Microphone: Active. Webcam: Active. Recording: OFF. Streaming: OFF.
User: Add a camera in the bottom-right corner of Scene 2 with a full-screen background.
AI: creates a
Backgroundcolor source (1920×1080) and the webcam source, then positions the camera at the bottom-right usingset_source_transform.User: Prepare my coding recording.
AI: calls
prepare_recording, reports the setup summary.User: Everything looks good. Start recording.
AI: calls
start_recording_sessionwithconfirm=Trueafter asking, confirms, and reports the recording is live.User: Stop recording and give me a summary.
AI: calls
end_session, returns duration and the saved file path.
Testing
pip install -e ".[dev]"
pytest
Run the tests from the project root. The suite (107 tests) runs against an in-memory fake OBS — no OBS needed — plus one end-to-end test over the real stdio MCP transport.
Project structure
obs-mcp/
├── server/
│ ├── mcp_server.py # MCP wiring, tool registration, entry point
│ ├── obs_client.py # OBS WebSocket connection, auth, reconnect, helpers
│ ├── config.py # OBS_* environment configuration
│ ├── tools/ # one module per feature area
│ │ ├── scenes.py sources.py audio.py
│ │ ├── recording.py streaming.py transitions helpers
│ │ ├── media.py filters.py config.py
│ │ ├── diagnostics.py automation.py
│ ├── safety/permissions.py # risk classification + confirmation policy
│ └── models/responses.py # structured tool responses
├── tests/ # pytest suite with an in-memory fake OBS
├── examples/demo_client.py # stdio demo client
├── pyproject.toml
├── features.txt # full feature checklist
└── .env.example
Troubleshooting
| Problem | Fix |
|---|---|
get_obs_status reports "Could not reach OBS" |
OBS not running, or WebSocket server disabled (Tools → WebSocket Server Settings → Enable WebSocket server) |
| Authentication failed | OBS_PASSWORD does not match the password in OBS WebSocket settings — check both, restart OBS after changing it |
| Connection refused on a remote machine | Check OBS_HOST/OBS_PORT; make sure the port is reachable and OBS is listening on it |
Tools return confirmation_required |
The operation is high-risk — pass confirm=true to execute it |
set_source_transform does nothing |
Keys are snake_case (position_x, scale_y, bounds_width, …); the server converts them for the OBS protocol |
| Media source won't play | media_control uses OBS_WEBSOCKET_MEDIA_INPUT_ACTION_* actions on media-capable sources (ffmpeg_source / VLC); set_media_time needs the source playing or paused |
| Assistant can't find the tools after adding the server | Restart the MCP client so it re-reads the config |
| Tests fail when run from another directory | Always run pytest from the project root |
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