The Met Museum MCP. Deeply Filter Artworks by Department and Century

The Met Museum MCP Server connects your AI client directly to over 470,000 artworks in one of the world's deepest collections. You don't need an API key or fancy database setup; you just talk to it like you're talking to a curator. Your agent handles the heavy lifting.

General Search and Filtering

The search_objects tool runs across the entire Met collection, letting you narrow down millions of records using multiple filters at once. You can specify a department, define a date range, or filter by material type to quickly pinpoint what you need. If you know you need high-resolution images for your project, use the search_with_images tool; it guarantees that every object ID returned has available digital files attached.

For broader scoping, start with get_departments, which gives you a full list of major museum sections—like Asian Art or Egyptian Art—so you can scope your search instantly.

Targeted Collection Scopes

You're not always looking at the whole lot. If you want to focus only on objects from one specific area, get_objects_by_department returns a comprehensive list of object IDs belonging solely to that department. Need to check out pieces created during a certain period? The search_by_century tool lets you find all artwork IDs within a defined century range—say, 1700 through 1799—cutting down decades of research in seconds.

For the ultimate quick look at what's currently on display, use search_on_view, which locates object IDs for pieces actually hanging in the museum's physical galleries right now.

Deep Dive and Curation Tools

Sometimes you don't need a search; you need specifics. The get_object tool pulls all metadata—the title, artist, date, medium, dimensions, and images—for one unique artwork ID. It gives you the full scholarly package on any single piece. When you’re trying to nail down significance, use search_highlights. This retrieves object IDs for works that curators have specifically marked as important or noteworthy pieces across the whole collection.

Putting it Together: A Workflow Example

You can combine these functions easily. You might want to find all objects in Egyptian Art (get_objects_by_department), then filter those results down only to pieces created between 2500 BCE and 2400 BCE (search_by_century). Then, if you need the full details on the top five of those matches, you pass those IDs to get_object.

It's a layered process that gives deep historical insight without writing a single SQL query. The system handles all the connections.

The Met Museum MCP Server makes scholarly analysis simple. You talk naturally; your agent does the complex database work. Don't get bogged down in API calls or manual data fetching. Just tell it what you want, and it delivers the full metadata package for those 470,000 pieces.