mvf1 2.1.1

Command Line

$ mvf1-cli --help

Model Context Protocol (MCP) Server

$ mvf1-cli mcp

To use in an AI agent, use your framework’s affordance for a stdio MCP server.

Here is an example with PydanticAI.

from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStdio

server = MCPServerStdio(
    'mvf1-cli',
    args=[
        'mcp'
    ]
)
agent = Agent('openai:gpt-4o', mcp_servers=[server])

Library

Displaying all players

>>> from mvf1 import MultiViewerForF1
>>> remote = MultiViewerForF1()
>>> remote.players
[6: INTERNATIONAL, 7: PER]

Pause all players

>>> from mvf1 import MultiViewerForF1
>>> remote = MultiViewerForF1()
>>> for player in remote.players:
>>>     player.mute()
{'data': {'playerSetMuted': True}}
{'data': {'playerSetMuted': True}}

Retrieve specific player

>>> from mvf1 import MultiViewerForF1
>>> remote = MultiViewerForF1()
>>> player = remote.player(6)
>>> player.state
{'ts': 1677168293.21, 'paused': False, 'muted': True, 'volume': 100, 'live': False, 'currentTime': 10.002025, 'interpolatedCurrentTime': 363.656025}

Switch stream of player to data channel

>>> from mvf1 import MultiViewerForF1
>>> remote = MultiViewerForF1()
>>> player = remote.player(6)
>>> player.switch_stream('DATA')
{'data': {'playerCreate': '12'}}

Synchronize all players to specific player

>>> from mvf1 import MultiViewerForF1
>>> remote = MultiViewerForF1()
>>> player = remote.player(6)
>>> player.sync()
{'data': {'playerSync': True}}

Synchornize all players to player streaming broadcast commentary

>>> from mvf1 import MultiViewerForF1
>>> remote = MultiViewerForF1()
>>> remote.player_sync_to_commentary()
{'data': {'playerSync': True}}

Synchronize open players to live timing

>>> from mvf1 import MultiViewerForF1
>>> remote = MultiViewerForF1()
>>> remote.player_sync_to_live_timing()
{'data': {'meeting_id': '1279', 'session_id': '11234', 'synced_players': [...]}}

The same operation is available to MCP clients as player_sync_to_live_timing. It uses the current live-timing clock, session start, and each feed’s signed offset to seek matching open players to the first open player’s session.

Hacking

To hack on the project, clone the GitHub repo:

$ git clone https://github.com/RobSpectre/mvf1

Then install in a virtualenv.

$ pip install -e ./

Test

The project uses tox for tests. Simply run from project root

$ tox