A Model Context Protocol (MCP) server for interacting with DaVinci Resolve and Fusion
What is apvlv davinci resolve mcp
DaVinci Resolve MCP Server
A Model Context Protocol (MCP) server for interacting with DaVinci Resolve and Fusion. This server allows AI assistants like Claude to directly interact with and control DaVinci Resolve through the Model Context Protocol.
Features
- Two-way communication: Connect Claude AI to DaVinci Resolve through the MCP protocol
- Project management: Create, open, and manage DaVinci Resolve projects
- Timeline manipulation: Create, modify, and navigate timelines
- Media management: Import, organize, and manage media in the Media Pool
- Fusion integration: Create and modify Fusion compositions
- Scene inspection: Get detailed information about the current DaVinci Resolve project
- Code execution: Run arbitrary Python code in DaVinci Resolve from Claude
Installation
Prerequisites
- DaVinci Resolve Studio (version 17 or higher recommended)
- Python 3.8 or higher
- Claude Desktop (for AI integration)
Setup
-
Clone this repository:
git clone https://github.com/apvlv/davinci-resolve-mcp.git cd davinci-resolve-mcp
-
Install the required dependencies:
pip install -r requirements.txt
-
Install the MCP server in Claude Desktop:
mcp install src/resolve_mcp/server.py
Alternatively, you can install with the editable flag for development:
mcp install src/resolve_mcp/server.py --with-editable .
Usage
With Claude Desktop
- Start DaVinci Resolve
- In Claude Desktop, connect to the "DaVinci Resolve MCP" server
- You can now interact with DaVinci Resolve through Claude
With 5ire
5ire is an open-source cross-platform desktop AI assistant and MCP client that's compatible with this server.
- Install 5ire from GitHub or using Homebrew on macOS:
brew tap brewforge/extras brew install --cask 5ire
- Start DaVinci Resolve
- In 5ire, add the DaVinci Resolve MCP server
- Connect to the server using your preferred AI model (OpenAI, Claude, etc.)
- You can now interact with DaVinci Resolve through 5ire
Available Commands
Resources (Information Retrieval)
project://current
- Get information about the current projectproject://timelines
- Get a list of timelines in the current projecttimeline://current
- Get information about the current timelinemediapool://folders
- Get a list of folders in the media poolmediapool://current
- Get information about the current media pool folderstorage://volumes
- Get a list of mounted volumes in the media storagesystem://status
- Get the current status of the DaVinci Resolve connection
Project Management
create_project(name)
- Create a new DaVinci Resolve projectload_project(name)
- Load an existing DaVinci Resolve projectsave_project()
- Save the current DaVinci Resolve project
Timeline Management
create_timeline(name)
- Create a new timeline in the current projectset_current_timeline(index)
- Set the current timeline by index (1-based)
Media Management
import_media(file_paths)
- Import media files into the current media pool foldercreate_folder(name)
- Create a new folder in the current media pool foldercreate_timeline_from_clips(name, clip_indices)
- Create a new timeline from clips in the current media pool folder
Fusion Integration
add_fusion_comp_to_clip(timeline_index, track_type, track_index, item_index)
- Add a Fusion composition to a clip in the timelinecreate_fusion_node(node_type, parameters)
- Create a specific Fusion node in the current compositioncreate_fusion_node_chain(node_chain)
- Create a chain of connected Fusion nodes in the current composition
Page Navigation
open_page(page_name)
- Open a specific page in DaVinci Resolve (media, edit, fusion, color, fairlight, deliver)
Advanced Operations
execute_python(code)
- Execute arbitrary Python code in DaVinci Resolveexecute_lua(script)
- Execute a Lua script in DaVinci Resolve's Fusion
Examples
- "Create a new project named 'My Documentary'"
- "Import all video files from the Downloads folder"
- "Create a new timeline with the selected clips"
- "Apply a Fusion effect to the selected clip"
- "Get information about the current project"
- "Switch to the Color page"
- "Save the current project"
- "Create a folder named 'Raw Footage' in the media pool"
- "Create a Blur node in the current Fusion composition"
- "Create a Text node with the content 'Hello World'"
- "Create a chain of nodes: MediaIn -> Blur -> ColorCorrector -> MediaOut"
Technical Details
The server uses the Model Context Protocol to communicate between Claude and DaVinci Resolve. It leverages DaVinci Resolve's Python API to control the application.
License
MIT
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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