
metmuseum mcp
Met Museum MCP integration to discover the art collection at The Metropolitan Museum of Art in New York
Repository Info
About This Server
Met Museum MCP integration to discover the art collection at The Metropolitan Museum of Art in New York
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
Met Museum MCP Server
A Model Context Protocol (MCP) server that provides access to the Metropolitan Museum of Art Collection through natural language interactions. This server allows AI models to search The Met's art collection and have art works available as a Resource.
Features
This server provides AI models the following tools to interact with the art collection of The Met
1. List Departments (list-departments)
Lists all the valid departments at The Met
- Inputs:
- None
- Output:
Department ID: 1, Display Name: American Decorative Arts Department ID: 3, Display Name: Ancient Near Eastern Art ...
2. Search Museum Objects (search-museum-objects)
Search for various objects in The Met based on the inputs.
-
Inputs:
q(string): The search term e.g. sunflowershasImages(boolean, optional, default: false): Only search for objects with imagestitle(boolean, optional, default: false): Returns objects that match the query, specifically searching against the title field for objects.departmentId(number, optional): Returns objects that are a part of a specific department.
-
Outputs:
Total objects found: 54 Object IDs: 436532, 789578, 436840, 438722,...
3. Get Museum Objects (get-museum-object)
Get a specific object from The Met containing all open access data about that object, including its image (if the image is available under Open Access).
If there is an image it is added to the Resource of the server via the title of the object.
- Inputs:
objectId(number): The id of the object to retrievereturnImage(boolean, optional, default: true): Whether to return the image (if available) of the object and add it to the server resources
- Outputs:
If returnImage is trueTitle: Self-Portrait with a Straw Hat (obverse: The Potato Peeler) Artist: Vincent van Gogh Artist Bio: Dutch, Zundert 1853–1890 Auvers-sur-Oise Department: European Paintings Credit Line: Bequest of Miss Adelaide Milton de Groot (1876-1967), 1967 Medium: Oil on canvas Dimensions: 16 x 12 1/2 in. (40.6 x 31.8 cm) Primary Image URL: https://images.metmuseum.org/CRDImages/ep/original/DT1502_cropped2.jpg Tags: Men, Self-portraits**base64 encoding of jpeg image**
Usage with Claude Desktop
Via Desktop Extension (DXT)
- Download the
dxtfile from the Releases - Open it with Claude Desktop or Go to File -> Settings -> Extensions and drag the .DXT file to the window to install it
Via npx
Add this to your claude_desktop_config.json:
{
"mcp-servers": {
"met-museum": {
"command": "npx",
"args": [
"-y",
"metmuseum-mcp"
]
}
}
}
Usage with LibreChat
Add the following in your librechat.yaml
mcpServers:
metmuseum:
command: npx
args:
- -y
- metmuseum-mcp
Example queries
Here some questions you can ask the AI model when this server in connected:
Can you show me a few painting from the Asian Art department?
Can you find the painting titled "Corridor in the Asylum"?
Can you find any art that has "cat" in the title or features "cats"?
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
Disclaimer
This library is not officially associated with The Metropolitan Museum of Art in New York. It is a third-party implementation of the The Metropolitan Museum of Art Collection API with a MCP Server.
Quick Start
Clone the repository
git clone https://github.com/mikechao/metmuseum-mcpInstall dependencies
cd metmuseum-mcp
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
Recommended MCP Servers
Discord MCP
Enable AI assistants to seamlessly interact with Discord servers, channels, and messages.
Knit MCP
Connect AI agents to 200+ SaaS applications and automate workflows.
Apify MCP Server
Deploy and interact with Apify actors for web scraping and data extraction.
BrowserStack MCP
BrowserStack MCP Server for automated testing across multiple browsers.
Zapier MCP
A Zapier server that provides automation capabilities for various apps.