DaVinci Resolve MCP Server

What is DaVinci Resolve MCP Integration? DaVinci Resolve MCP Integration is a project that implements a Model Context Protocol (MCP) server for DaVinci Resolve, enabling AI-assisted video editing capabilities by allowing LLM applications to interact directly with DaVinci Resolve projects. How to use DaVinci Resolve MCP Integration? To use this project, clone the repository, install the dependencies, configure your environment, and run the MCP server. Connect to the server using compatible LLMs like Claude by providing the necessary API key. Key features of DaVinci Resolve MCP Integration? Seamless integration between AI assistants and DaVinci Resolve Access to timeline, media, and project information Ability to manipulate edits and automate workflows Cross-platform support for macOS, Windows, and Linux WebSocket-based API for real-time communication Use cases of DaVinci Resolve MCP Integration? Automating video editing tasks using AI Analyzing project timelines and media Performing editing operations through LLM commands FAQ from DaVinci Resolve MCP Integration? What is MCP? MCP stands for Model Context Protocol, which standardizes how applications provide context to LLMs, allowing for interaction with various data sources. What are the prerequisites? You need DaVinci Resolve Studio (18.0 or later) and Python 3.6+. Is there a license for this project? Yes, the project is licensed under MIT.

As an MCP (Model Context Protocol) server, DaVinci Resolve MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use this project, clone the repository, install the dependencies, configure your environment, and run the MCP server. Connect to the server using compatible LLMs like Claude by providing the necessary API key. Key features of DaVinci Resolve MCP Integration? Seamless integration between AI assistants and DaVinci Resolve Access to timeline, media, and project information Ability to manipulate edits and automate workflows Cross-platform support for macOS, Windows, and Linux WebSocket-based API for real-time communication Use cases of DaVinci Resolve MCP Integration? Automating video editing tasks using AI Analyzing project timelines and media Performing editing operations through LLM commands FAQ from DaVinci Resolve MCP Integration? What is MCP? MCP stands for Model Context Protocol, which standardizes how applications provide context to LLMs, allowing for interaction with various data sources. What are the prerequisites? You need DaVinci Resolve Studio (18.0 or later) and Python 3.6+. Is there a license for this project? Yes, the project is licensed under MIT.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.