DaVinci Resolve MCP Server is a powerful tool that enables AI assistants like Claude to directly control DaVinci Resolve through the Model Context Protocol. This server creates a two-way communication channel, allowing for automated project management, timeline manipulation, media organization, and Fusion composition creation.
Clone the repository:
git clone https://github.com/apvlv/davinci-resolve-mcp.git
cd davinci-resolve-mcp
Install dependencies:
pip install -r requirements.txt
Install the MCP server in Claude Desktop:
mcp install src/resolve_mcp/server.py
For development purposes, use:
mcp install src/resolve_mcp/server.py --with-editable .
5ire is an open-source desktop AI assistant compatible with this server.
brew tap brewforge/extras
brew install --cask 5ire
project://current - Get current project informationproject://timelines - List all timelines in current projecttimeline://current - Get current timeline informationmediapool://folders - List media pool foldersmediapool://current - Get current media pool folder informationstorage://volumes - List mounted storage volumessystem://status - Check DaVinci Resolve connection statuscreate_project(name) - Create new projectload_project(name) - Open existing projectsave_project() - Save current projectcreate_timeline(name) - Create new timelineset_current_timeline(index) - Switch to a specific timelineimport_media(file_paths) - Import media filescreate_folder(name) - Create new media pool foldercreate_timeline_from_clips(name, clip_indices) - Create timeline from selected clipsadd_fusion_comp_to_clip(timeline_index, track_type, track_index, item_index) - Add Fusion composition to timeline clipcreate_fusion_node(node_type, parameters) - Create Fusion nodecreate_fusion_node_chain(node_chain) - Create connected Fusion nodesopen_page(page_name) - Switch to specific page (media, edit, fusion, color, fairlight, deliver)execute_python(code) - Run Python code in DaVinci Resolveexecute_lua(script) - Run Lua script in FusionHere are some practical examples of commands you can use:
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "davinci-resolve" '{"command":"python","args":["-m","resolve_mcp.server"]}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:
{
"mcpServers": {
"davinci-resolve": {
"command": "python",
"args": [
"-m",
"resolve_mcp.server"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json~/.config/Claude/claude_desktop_config.json2. Add this to your configuration file:
{
"mcpServers": {
"davinci-resolve": {
"command": "python",
"args": [
"-m",
"resolve_mcp.server"
]
}
}
}
3. Restart Claude Desktop for the changes to take effect