What does the davinci mcp server do?

It connects Davinci to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with Davinci directly.

How do I install the davinci mcp server?

Run it through your MCP client's configuration using `npx -y davinci-resolve-mcp`. Add the server block to Claude Desktop's config file (or use `claude mcp add` for Claude Code), restart the client, and the tools appear automatically. Full snippets are on this page.

What credentials does it need?

It reads `DAVINCI_RESOLVE_BRIDGE` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

Davinci MCP Server — Setup Guide for Claude

Name: Davinci MCP Server
Author: GitHub Actions

What is the Davinci MCP server?

Davinci MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. NPM bootstrapper for the DaVinci Resolve MCP Server.

What you get

A Model Context Protocol (MCP) server that lets AI assistants control DaVinci Resolve Studio through the official Scripting API. It provides full API coverage plus guarded workflow helpers for editing, media pool organization, render setup, review markers, grading, Fusion, Fairlight, project lifecycle tasks, extension authoring, and source-safe media analysis.

Configuration and credentials

You will need one environment variable: DAVINCI_RESOLVE_BRIDGE. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

DaVinci Resolve 18.5+ on macOS, Windows, or Linux. Studio supports external scripting directly. The free edition does not — Blackmagic gates external scripting to Studio — but it is still reachable through the in-app bridge, which runs inside Resolve from the ungated Workspace ▸ Scripts menu. - Python 3.10+ (3.10-3.12 is the lowest-risk range). Python

Setting it up

davinci-resolve-mcp on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.

Choosing this one

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by GitHub Actions; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Before you rely on it

It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
MCP clients confirm each tool call by default. Leave that on until you have watched what the davinci mcp server does with a few real requests.

How to install the Davinci MCP server

{
  "mcpServers": {
    "davinci-resolve": { "command": "<python>", "args": ["<path>/src/server.py"] },
    "davinci-resolve-advanced": { "command": "node", "args": ["<path>/bin/davinci-resolve-advanced-mcp.mjs"] }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

DaVinci Resolve 18.5+ on macOS, Windows, or Linux. Studio supports external scripting directly. The free edition does not — Blackmagic gates external scripting to Studio — but it is still reachable through the in-app bridge, which runs inside Resolve from the ungated Workspace ▸ Scripts menu. - Python 3.10+ (3.10-3.12 is the lowest-risk range). Python

Variable	Description	Required
DAVINCI_RESOLVE_BRIDGE	Configuration value read at startup.	Optional

Davinci MCP Server

What is the Davinci MCP server?

What you get

Configuration and credentials

Setting it up

Choosing this one

Before you rely on it

How to install the Davinci MCP server

Configuration

Frequently asked questions

Alternatives to the Davinci MCP server

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