davinci-resolve-mcp MCP Server: Complete Setup Guide

Last Updated: September 29, 2026

🤖 AI Snapshot / TL;DR: The davinci-resolve-mcp is a production-ready, open-source Model Context Protocol (MCP) server that enables AI agents (like Claude Desktop, Cursor, and Claude Code) to securely interact with general systems. It features local execution, standardized tool definitions, and is actively maintained with ⭐ 3,229 GitHub stars.

🔍 What is davinci-resolve-mcp?

Mcp server integration for davinci resolve studio. By bridging the gap between large language models and your local or remote general environment, it allows you to automate complex workflows using natural language prompts. Instead of writing custom scripts, you can simply instruct your AI assistant to perform tasks directly through this standardized protocol.

✨ Key Features

• A post-production copilot — a desktop app that sits alongside davinci resolve and**
• Memory — persistent, encrypted on-device assistant memory plus cross-episode learning**
• Self-contained by design — post assistant wires everything itself: this mcp for**
• An extended professional toolset — grade surgery on live projects, 22+ adaptive grade**
• Production workflows — the raw tools composed into finished, real-world flows**

🎯 Real-World Use Cases for davinci-resolve-mcp

• Workflow Automation: Connect your AI assistant directly to this tool to eliminate manual copy-pasting.
• Rapid Prototyping: Test API integrations or data flows in seconds using natural language prompts.
• Knowledge Retrieval: Instantly search and retrieve specific information without manually navigating the interface.

⚙️ Installation & Configuration

Prerequisites

• Node.js (v18+) or Python (v3.10+) installed locally.
• Claude Desktop, Cursor, or another MCP-compatible client.

Step 1: Install the Server

```bash

Recommended: Run directly via npx (no global install needed)

npx -y samuelgursky/davinci-resolve-mcp

Alternative: Clone and run locally

git clone https://github.com/samuelgursky/davinci-resolve-mcp.git cd davinci-resolve-mcp npm install # or pip install -r requirements.txt ```

Step 2: Update Your MCP Config

Add the following to your claude_desktop_config.json (Mac: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\) or .cursor/mcp.json:

```json { "mcpServers": { "davinci-resolve-mcp": { "command": "npx", "args": ["-y", "samuelgursky/davinci-resolve-mcp"] } } } ``` (Note: Restart your AI client after saving the configuration file.)

⚙️ Advanced Configuration Options

For production environments, you may need to customize the server behavior. You can pass environment variables in your MCP config:

```json { "mcpServers": { "davinci-resolve-mcp": { "command": "npx", "args": ["-y", "samuelgursky/davinci-resolve-mcp"], "env": { "API_KEY": "your_api_key_here", "TIMEOUT_MS": "30000" } } } } ``` Note: Always use environment variables for sensitive credentials. Never hardcode API keys directly in the JSON.

💡 Real-World Example Prompts

Once connected, try these high-value prompts in Claude or Cursor:

1. "Use davinci-resolve-mcp to extract structured data or automate a specific general workflow."
2. "Configure the davinci-resolve-mcp MCP server to optimize for speed and reliability."
3. "Analyze the output from davinci-resolve-mcp and format it into a comprehensive Markdown report."

⚖️ How davinci-resolve-mcp Compares to Alternatives

Feature	davinci-resolve-mcp	Generic Alternatives	Manual Scripting
Setup Time	< 2 minutes (npx)	5-10 minutes	Hours
AI Native	✅ Yes, built for LLMs	⚠️ Requires custom prompts	❌ No
Maintenance	✅ Auto-updated via npx	⚠️ Manual dependency updates	❌ High maintenance
Best For	Fast AI automation	Custom edge cases	Highly specific needs

🛠️ Common Issues & Troubleshooting

• "MCP Server Failed to Start": Ensure you have Node.js (v18+) or Python (v3.10+) installed and added to your system's PATH.
• Rate Limiting / 429 Errors: If making rapid requests, the target API may block you. Add delays between prompts or configure proxy settings.
• Permission Denied: For local tools, ensure the MCP server has explicit read/write permissions granted in your configuration file.

🔄 Related MCP Servers

If you found this useful, explore these complementary tools:

• csharp-sdk MCP Server (⭐ 4,554)
• mcp-context-forge MCP Server (⭐ 4,544)

❓ Frequently Asked Questions (FAQ)

Q: Is davinci-resolve-mcp free to use?
A: Yes, this is an open-source MCP server. However, the underlying service it connects to (if any) may require its own API key or subscription.

Q: Which AI clients support davinci-resolve-mcp?
A: Any MCP-compliant client, including Claude Desktop, Cursor, Windsurf, Cline, and Claude Code.

Q: How do I update davinci-resolve-mcp?
A: If installed via npx, it automatically fetches the latest version on each run. If cloned manually, run git pull in the repository directory.