DAM Butler
Transforms digital asset discovery for enterprise DAM systems by understanding natural language requests and delivering precise results.
About
DAM Butler is a revolutionary Model Context Protocol (MCP) server that seamlessly integrates ChatGPT Enterprise with digital asset management (DAM) systems like Breville's Vault. Moving beyond traditional, complex search filters, it employs an intent-based AI architecture to interpret natural language requests, drastically simplifying the process of finding specific brand assets. This approach eliminates frustrating searches and delivers relevant assets with context, usage notes, and download links, ensuring teams quickly access exactly what they need for various use cases.
Key Features
- Use Case Optimization to tailor asset formats and suggestions for presentations, web, print, or social media
- Intent-Based Architecture that parses natural language requests to orchestrate complex asset discovery workflows
- 1 GitHub stars
- Triple-Layer AI Intelligence (OpenAI Enhanced, GPT-4 Vision, Vault Intelligence)
- Asset Type Mastery for optimized search across logos, product photos, marketing materials, and documentation
- Regional Theater Intelligence for automatic brand and context switching (e.g., Breville vs. Sage)
Use Cases
- Retrieving region-specific marketing assets, such as Sage branding for the UK market
- Locating product documentation, like a manual for a specific model and country
- Quickly finding specific product photos with transparent backgrounds for presentations