DaVinci Resolve MCP Server
MCP server integration for DaVinci Resolve
Overview
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.
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.
- 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
- Automating video editing tasks using AI
- Analyzing project timelines and media
- Performing editing operations through LLM commands
Add to your AI client
Use these steps to connect DaVinci Resolve MCP Server in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.
Cursor
Add this to your .cursor/mcp.json file in your project root, then restart Cursor.
.cursor/mcp.json
{
"mcpServers": {
"davinci-resolve-mcp-samuelgursky": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-davinci-resolve-mcp-samuelgursky"
]
}
}
}Claude Desktop
Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.
~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
{
"mcpServers": {
"davinci-resolve-mcp-samuelgursky": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-davinci-resolve-mcp-samuelgursky"
]
}
}
}Claude Code
Add this to your project's .mcp.json file. Claude Code will detect it automatically.
.mcp.json (project root)
{
"mcpServers": {
"davinci-resolve-mcp-samuelgursky": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-davinci-resolve-mcp-samuelgursky"
]
}
}
}VS Code (Copilot)
Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.
.vscode/mcp.json
{
"servers": {
"davinci-resolve-mcp-samuelgursky": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-davinci-resolve-mcp-samuelgursky"
]
}
}
}Windsurf
Add this to your Windsurf MCP config file, then restart Windsurf.
~/.codeium/windsurf/mcp_config.json
{
"mcpServers": {
"davinci-resolve-mcp-samuelgursky": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-davinci-resolve-mcp-samuelgursky"
]
}
}
}Cline
Open Cline settings, navigate to MCP Servers, and add this server configuration.
Cline MCP Settings (via UI)
{
"mcpServers": {
"davinci-resolve-mcp-samuelgursky": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-davinci-resolve-mcp-samuelgursky"
]
}
}
}