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Rijksmuseum MCP Server: Deep Art Exploration & Advanced Analysis - MCP Implementation

Rijksmuseum MCP Server: Deep Art Exploration & Advanced Analysis

Unleash Rijksmuseum's MCP server: Dive deep into art history with seamless exploration and advanced analysis of iconic masterpieces.

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About Rijksmuseum MCP Server

What is Rijksmuseum MCP Server: Deep Art Exploration & Advanced Analysis?

Rijksmuseum MCP Server is an advanced interface designed to enable AI-driven interaction with the Rijksmuseum's extensive art collection. This server leverages the Museum's API to provide structured access to artworks, allowing users to query, analyze, and visualize cultural heritage data through natural language commands. It serves as a bridge between computational tools and historical artifacts, facilitating research, education, and creative projects.

How to use Rijksmuseum MCP Server: Deep Art Exploration & Advanced Analysis?

To utilize the server, users must first obtain an API key from the Rijksmuseum API Portal. The server can be deployed via two methods: direct installation using npm or manual setup from the source code. After configuring the API key in your environment variables, the server enables functionalities such as artwork search, metadata retrieval, and image analysis through predefined endpoints. Integration with platforms like Claude Desktop requires updating configuration files to specify server paths and security settings.

Rijksmuseum MCP Server Features

Key Features of Rijksmuseum MCP Server: Deep Art Exploration & Advanced Analysis?

  • Advanced Search & Filtering: Query artworks by period, artist, medium, or cultural significance with granular filters.
  • Metadata Enrichment: Access detailed metadata including historical context, conservation status, and exhibition history.
  • High-Resolution Media Access: Retrieve large-scale images and multimedia assets for scholarly or commercial use.
  • Artist Timeline Analysis: Explore chronological collections of an artist's work to study stylistic evolution.
  • Customizable Workflows: Configure logging levels, API endpoints, and server ports to align with project requirements.

Use cases of Rijksmuseum MCP Server: Deep Art Exploration & Advanced Analysis?

Researchers can analyze stylistic trends across centuries, educators can build interactive curricula around specific themes, and developers can integrate art data into NLP applications. For instance, historians might trace the influence of Dutch Golden Age techniques through automated comparative analysis, while students could visualize the spread of Renaissance motifs across European collections. The server also supports文创开发 by providing high-fidelity digital reproductions for licensed projects.

Rijksmuseum MCP Server FAQ

FAQ from Rijksmuseum MCP Server: Deep Art Exploration & Advanced Analysis?

  • How do I get an API key? Register at the Rijksmuseum API Portal and follow authorization procedures.
  • Can I customize the server's port? Yes, set the PORT environment variable to override the default 3000.
  • What logging options are available? Adjust LOG_LEVEL to debug, info, or warn for detailed operational insights.
  • Is there community support? Report issues or contribute improvements via the official GitHub repository linked in documentation.

Content

rijksmuseum logo

Rijksmuseum MCP Server

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.

Rijksmuseum Server MCP server

Features

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

2. 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

3. High-Resolution Images (get_artwork_image)

Access high-resolution image data with deep zoom capabilities:

  • Multiple zoom levels
  • Tile-based image loading
  • Full resolution support
  • Position information

4. User Collections (get_user_sets & get_user_set_details)

Explore user-created collections:

  • Browse curated sets
  • View thematic groupings
  • Analyze collection patterns
  • Access detailed set information

5. Image Viewing (open_image_in_browser)

Open artwork images directly in your browser for detailed viewing.

6. Artist Timeline (get_artist_timeline)

Generate chronological timelines of artists' works:

  • Track artistic development
  • Analyze periods and styles
  • Study career progression

Example Use Cases

Here are some example queries you can ask the AI when using this server:

Artwork Discovery

"Show me all paintings by Rembrandt from the 1640s"
"Find artworks that prominently feature the color blue"
"What are the most famous masterpieces in the collection?"
"Search for still life paintings from the Dutch Golden Age"

Artwork Analysis

"Tell me everything about The Night Watch"
"What are the dimensions and materials used in Van Gogh's Self Portrait?"
"Show me high-resolution details of the brushwork in Vermeer's The Milkmaid"
"Compare the colors used in different versions of The Potato Eaters"

Artist Research

"Create a timeline of Rembrandt's self-portraits"
"How did Van Gogh's use of color evolve throughout his career?"
"Show me all works by Frans Hals in chronological order"
"What techniques did Jan Steen use in his paintings?"

Thematic Exploration

"Find all artworks depicting biblical scenes"
"Show me paintings of Amsterdam in the 17th century"
"What artworks feature flowers or still life arrangements?"
"Find portraits that include musical instruments"

Collection Analysis

"Show me the most popular user-curated collections"
"Find sets that focus on landscape paintings"
"What are the recent additions to the museum's collection?"
"Show me collections featuring works from multiple artists"

Visual Details

"Let me examine the details in the background of The Night Watch"
"Show me a close-up of the jewelry in Girl with a Pearl Earring"
"Can you display the highest resolution version of The Jewish Bride?"
"I want to study the facial expressions in The Syndics"

Getting Started

You can install this server in two ways:

1. Using Claude Desktop with NPM Package

Update your Claude configuration file (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "rijksmuseum-server": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-rijksmuseum"
      ],
      "env": {
        "RIJKSMUSEUM_API_KEY": "your_api_key_here"
      }
    }
  }
}

You can get an API key from the Rijksmuseum API Portal.

2. From Source

  1. Clone this repository

  2. Install dependencies:

    npm install

  3. Copy the example environment file:

    cp .env.example .env

  4. Add your Rijksmuseum API key to the .env file:

    RIJKSMUSEUM_API_KEY=your_api_key_here

  5. Then update your Claude configuration file:

    {
    "mcpServers": {
    "rijksmuseum-server": {
    "command": "node",
    "args": [
    "/path/to/rijksmuseum-server/build/index.js"
    ],
    "env": {
    "RIJKSMUSEUM_API_KEY": "your_api_key_here"
    }
    }
    }

}

Make sure to:

  • Replace /path/to/rijksmuseum-server with the actual path to your installation
  • Add your Rijksmuseum API key in the env section

After updating the configuration, restart Claude Desktop for the changes to take effect.

Configuration

The server can be configured through environment variables:

  • RIJKSMUSEUM_API_KEY: Your Rijksmuseum API key (required)
  • PORT: Server port (default: 3000)
  • LOG_LEVEL: Logging level (default: 'info')

API Documentation

For detailed information about the Rijksmuseum API endpoints used by this server, visit: Rijksmuseum API Documentation

Contributing

Contributions are welcome! Please feel free to submit pull requests or create issues for bugs and feature requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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