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Rijksmuseum MCP integration for artwork exploration and analysis
A Model Context Protocol (MCP) server that provides access to the Rijksmuseum's collection through natural language interactions. This server enables AI models to explore, analyze, and interact with artworks and collections from the Rijksmuseum.
The server provides several tools for interacting with the Rijksmuseum's collection:
- 1.Search Artworks (
search_artwork)
Search and filter artworks using various criteria including:
- Text-based search
- Artist name
- Artwork type
- Materials and techniques
- Time periods
- Colors
- And more
- 1.Artwork Details (
get_artwork_details)
Retrieve comprehensive information about specific artworks, including:
- Basic details (title, artist, dates)
- Physical properties
- Historical context
- Visual information
- Curatorial information
- Exhibition history
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: API Connectors
Don't lose this
Three weeks from now, you'll want Rijksmuseum Mcp again. Will you remember where to find it?
Save it to your library and the next time you need Rijksmuseum Mcp, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Rijksmuseum MCP integration for artwork exploration and analysis. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:punkpeye/awesome-mcp-servers
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