davinci-resolve-mcp
★ 3.7k
vs
cml-mcp
★ 76
davinci-resolve-mcp vs cml-mcp
davinci-resolve-mcp: This project is a Model Context Protocol (MCP) server that offers complete coverage of the DaVinci Resolve Scripting API. It enables AI assistants like Claude and Cursor to control all aspects of a post-production workflow using natural language commands.; cml-mcp: cml-mcp integrates AI assistants with Cisco Modeling Labs (CML), enabling natural language interaction for network lab management. Users can instruct AI applications to create topologies, configure devices, and control labs without manual clicks or scripting.
01
TL;DR
davinci-resolve-mcpVision / Multimodal · ★ 3.7k
When to choose:
- You use DaVinci Resolve for professional editing, grading, or audio post-production and want AI assistants to execute operations via the official Scripting API.
- You want to automate timeline generation, color grading presets, marker creation, and media pool metadata ingestion with natural language.
When to skip:
- You work in Adobe Premiere Pro or Final Cut Pro (this MCP is tightly coupled to DaVinci Resolve's Python scripting runtime).
- You want a standalone, lightweight open-source video editor without installing DaVinci's multi-gigabyte suite (choose Concat).
cml-mcpVision / Multimodal · ★ 76
Creating and provisioning new network labs with specified topologies and devices.
02
Side-by-Side Comparison
Field
Category
Vision / Multimodal
Vision / Multimodal
Stars
★ 3.7k
★ 76
License
MIT
BSD-2-Clause
Install Command
git clone https://github.com/samuelgursky/davinci-resolve-mcp.git && cd davinci-resolve-mcp && python install.py
uvx cml-mcp
Updated
4d ago
1w ago
Open Source
Yes
Yes
Tags
DaVinci Resolve, Scripting API, AI Assistant
AI Assistant, Network Automation, Cisco Modeling Labs
03
Features
01Complete coverage of the DaVinci Resolve Scripting API (324/324 methods).
02Offers both a 26-tool compound server for efficiency and a 342-tool granular server for power users.
03Universal installer supports macOS, Windows, Linux, and auto-configures 9 MCP clients.
04Dedicated timeline_item actions including retime, transform, crop, composite, audio, and keyframes with validation.
05Features lazy connection to DaVinci Resolve, ensuring the server starts instantly and connects only when needed.
01Create Lab Topologies
02Control Labs and Nodes
03Configure Nodes and Execute CLI Commands
04Perform Packet Captures
05Add Visual Annotations
04
Use Cases
↳Control DaVinci Resolve post-production workflows through natural language using AI assistants.
↳Automate project management tasks such as creating, loading, and saving projects.
↳Streamline timeline operations, including creating timelines, adding clips, and setting markers.
↳Automate rendering and export processes for various formats like ProRes or EDL.
↳Perform advanced editing actions like creating Fusion compositions or grabbing stills.
↳Creating and provisioning new network labs with specified topologies and devices.
↳Configuring and managing the lifecycle (start, stop, wipe) of labs and individual nodes.
↳Executing CLI commands on virtual devices and performing network troubleshooting via packet capture.
↳Adding visual annotations to lab diagrams for better documentation and organization.
FAQ
FAQ
What is the difference between davinci-resolve-mcp and cml-mcp?
Both davinci-resolve-mcp and cml-mcp are in the Vision / Multimodal category. davinci-resolve-mcp has 3.7k stars, while cml-mcp has 76 stars.
Which is better, davinci-resolve-mcp or cml-mcp?
The best choice depends on your use case. Choose davinci-resolve-mcp if Control DaVinci Resolve post-production workflows through natural language using AI assistants., and cml-mcp if Creating and provisioning new network labs with specified topologies and devices..
Is davinci-resolve-mcp free or open source?
Yes, davinci-resolve-mcp is open source on GitHub (MIT).
Is cml-mcp free or open source?
Yes, cml-mcp is open source on GitHub (BSD-2-Clause).
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