Mvf1
Control MultiViewer, an app for watching motorsports like Formula 1, World Endurance Championship and IndyCar.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
mvf1
A Python package, command line interface and MCP server to control video players for
MultiViewer_, the best way to watch Formula 1.
.. image:: https://dl.circleci.com/status-badge/img/gh/RobSpectre/mvf1/tree/main.svg?style=svg :target: https://dl.circleci.com/status-badge/redirect/gh/RobSpectre/mvf1/tree/main
.. image:: https://codecov.io/gh/RobSpectre/mvf1/branch/main/graph/badge.svg?token=L5N96KXN2V :target: https://codecov.io/gh/RobSpectre/mvf1
.. image:: https://readthedocs.org/projects/mvf1/badge/?version=latest :target: https://mvf1.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
Table of Contents
.. contents:: :local: :depth: 1 :backlinks: none
Features
- Command line interface for controlling
MultiViewer. Useful for integrations with control interfaces likeStreamDeck - Pythonic interface for controlling
MultiViewer_. No GraphQL needed! - MCP server for controlling
MultiViewer_ - perfect for controlling the broadcast for with AI agents. Type hints_Full documentation_Test coverage_black_ Praise the Dark Lord
Installation
The latest version can be installed via pip_.
.. code-block:: bash
$ pip install mvf1
Quickstart
Command Line
.. code-block:: bash
$ mvf1-cli --help
Model Context Protocol (MCP) Server
.. code-block:: bash
$ 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.
.. code-block:: python
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
.. code-block:: python
>>> from mvf1 import MultiViewerForF1 >>> remote = MultiViewerForF1() >>> remote.players [6: INTERNATIONAL, 7: PER]
Pause all players
.. code-block:: python
>>> from mvf1 import MultiViewerForF1 >>> remote = MultiViewerForF1() >>> for player in remote.players: >>> player.mute() {'data': {'playerSetMuted': True}} {'data': {'playerSetMuted': True}}
Retrieve specific player
.. code-block:: python
>>> 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
.. code-block:: python
>>> from mvf1 import MultiViewerForF1 >>> remote = MultiViewerForF1() >>> player = remote.player(6) >>> player.switch_stream('DATA') {'data': {'playerCreate': '12'}}
Synchronize all players to specific player
.. code-block:: python
>>> from mvf1 import MultiViewerForF1 >>> remote = MultiViewerForF1() >>> player = remote.player(6) >>> player.sync() {'data': {'playerSync': True}}
Synchornize all players to player streaming broadcast commentary
.. code-block:: python
>>> from mvf1 import MultiViewerForF1 >>> remote = MultiViewerForF1() >>> remote.player_sync_to_commentary() {'data': {'playerSync': True}}
Synchronize open players to live timing
.. code-block:: python
>>> 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.
Development
Hacking
To hack on the project, clone the GitHub repo_:
.. code-block:: bash
$ git clone https://github.com/RobSpectre/mvf1
Then install in a virtualenv_.
.. code-block:: bash
$ pip install -e ./
Test
The project uses tox_ for tests. Simply run from project root
.. code-block:: bash
$ tox
Meta
- Written by
Rob Spectre_. - Released under
MIT License_. - Software is as is - no warranty expressed or implied, diggity.
- This package is not developed or maintained by
MultiViewer_ orFormula 1 TV_. - Shout out to the excellent
MultiViewer_ team! This app absolutely changed how I enjoy Formula 1. - 🏎️ Go Weeyums! 🏎️
.. _MultiViewer: https://multiviewer.app/ .. _pip: https://multiviewer.app/ .. _GitHub Repo: https://github.com/RobSpectre/mvf1 .. _virtualenv: https://multiviewer.app/ .. _Rob Spectre: https://brooklynhacker.com .. _MIT License: http://opensource.org/licenses/MIT .. _tox: https://tox.wiki/en/latest/ .. _black: https://black.readthedocs.io/en/stable/ .. _StreamDeck: https://www.elgato.com/en/welcome-to-stream-deck .. _type hints: https://docs.python.org/3/library/typing.html .. _Full documentation: https://mvf1.readthedocs.io/en/latest/ .. _Test coverage: https://app.codecov.io/gh/RobSpectre/mvf1 .. _Formula 1 TV: https://f1tv.formula1.com/
Frequently asked questions
What is Mvf1?
Control MultiViewer, an app for watching motorsports like Formula 1, World Endurance Championship and IndyCar.
How do I install Mvf1?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is Mvf1 open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains Mvf1?
It is published by RobSpectre. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.