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Manage a headless asset library through Claude using natural-language commands.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "fallasset-mcp" yet — see the docs or source repo.
Add the files in /assets/summer-campaign to the asset library and tag them as "summer campaign" and "social media assets" based on their content.
Assets are added in bulk and labeled with the requested tags for easier search and organization.
Filter high-rated product posters from the asset library and list them sorted by rating from highest to lowest.
A list of matching assets is returned and ordered by rating.
Create a collection of visual assets suitable for a new product launch event, prioritizing files that already have brand labels.
The tool filters and groups assets from the natural-language request into a ready-to-use collection.
Designers can use natural-language commands to add files, tag, rate, and group assets when their library is messy or inconsistent. This makes reusable visual assets easier to find.
Marketing teams can filter assets by tags, ratings, or sorting rules when preparing campaigns. It helps quickly surface assets for a specific theme or quality level.
When users want to operate an asset library directly from Claude Desktop or Claude Code, this MCP server routes natural-language intents into asset management actions. It is useful for reducing manual clicks and repetitive organization work.
It is an MCP server that lets Claude Desktop or Claude Code drive a headless asset library. It supports adding files, rating, tagging, labeling, collecting, filtering, sorting, and routing natural-language intents into actions.
The provided description explicitly mentions Claude Desktop and Claude Code. For more compatibility details, see the source repository.
The provided material does not include installation or configuration steps. Please see the source repository for details.
Access and manage local files through natural language via MCP.
Search custom knowledge bases in Claude Desktop with RAG via MCP.
Analyze files, process media, and automatically organize local content intelligently.
Search, summarize, and explore documents from an Assay library.
Use Claude via MCP for prompting, structured analysis, and content generation.
Provide project knowledge search and failure analysis for Claude Code workflows.