vision-memory-mcp
★ 48
vs
davinci-resolve-mcp
★ 3.7k
vision-memory-mcp vs davinci-resolve-mcp
vision-memory-mcp: vision-memory-mcp is a local-first Model Context Protocol (MCP) server and CLI tool designed to enhance AI coding assistants. It achieves this by providing visual state caching, using techniques like perceptual hashing and local CLIP embeddings, to significantly reduce repetitive vision LLM calls and improve efficiency.; 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.
01
TL;DR
vision-memory-mcpVision / Multimodal · ★ 48
Providing visual context and memory to AI coding assistants like Cursor or Copilot to reduce redundant vision LLM calls.
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).
02
Side-by-Side Comparison
Field
vision-memory-mcpdavinci-resolve-mcpCategory
Vision / Multimodal
Vision / Multimodal
Stars
★ 48
★ 3.7k
License
NOASSERTION
MIT
Install Command
npm install -g @putervision/vision-memory-mcp
git clone https://github.com/samuelgursky/davinci-resolve-mcp.git && cd davinci-resolve-mcp && python install.py
Updated
2w ago
4d ago
Open Source
Yes
Yes
Tags
Visual Caching, AI Assistant, Perceptual Hashing
DaVinci Resolve, Scripting API, AI Assistant
03
Features
vision-memory-mcp01Provides sub-5ms perceptual visual caching using dHash and local CLIP, significantly reducing vision LLM API calls.
02Ingests WebM/MP4 videos to create searchable keyframe visual states and transition graphs.
03Maps screen elements to CSS selectors for action prediction and supports visual spec contracts for regression testing.
04Ensures complete local processing and storage of all visual data, including CLIP models, with no cloud telemetry.
davinci-resolve-mcp01Complete 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.
04
Use Cases
vision-memory-mcp↳Providing visual context and memory to AI coding assistants like Cursor or Copilot to reduce redundant vision LLM calls.
↳Ingesting E2E test recordings to analyze UI state transitions, detect visual regressions, and verify design contracts.
↳Enabling deterministic UI interaction and action prediction for automated agents, and generating datasets for multimodal fine-tuning.
↳Managing visual states and context locally for applications requiring high privacy or offline capabilities.
davinci-resolve-mcp↳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.
FAQ
FAQ
What is the difference between vision-memory-mcp and davinci-resolve-mcp?
Both vision-memory-mcp and davinci-resolve-mcp are in the Vision / Multimodal category. vision-memory-mcp has 48 stars, while davinci-resolve-mcp has 3.7k stars.
Which is better, vision-memory-mcp or davinci-resolve-mcp?
The best choice depends on your use case. Choose vision-memory-mcp if Providing visual context and memory to AI coding assistants like Cursor or Copilot to reduce redundant vision LLM calls., and davinci-resolve-mcp if Control DaVinci Resolve post-production workflows through natural language using AI assistants..
Is vision-memory-mcp free or open source?
Yes, vision-memory-mcp is open source on GitHub (NOASSERTION).
Is davinci-resolve-mcp free or open source?
Yes, davinci-resolve-mcp is open source on GitHub (MIT).
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