Smithsonian MCP Server
Enables searching and exploring millions of items from the Smithsonian Institution's collections including artifacts, artworks, specimens, photographs, and more, using the Smithsonian Open Access API.
README
Smithsonian MCP Server
A Model Context Protocol (MCP) server that provides access to the Smithsonian Institution's Open Access API. Search and explore millions of items from the Smithsonian's collections including artifacts, artworks, specimens, photographs, and more.
Features
- Search Collections: Search across millions of items from 19 Smithsonian museums and research centers
- Get Item Details: Retrieve comprehensive metadata about specific items
- Browse Categories: Discover available terms and filters for refining searches
- Online Media: Filter for items with images and other online media
Installation
Prerequisites
- Python 3.10 or higher
- A Smithsonian API key (free) - Get one at https://api.data.gov/signup/
Setup
- Clone the repository:
git clone https://github.com/AlexLin1234/smithsonian-mcp-server.git
cd smithsonian-mcp-server
- Install the package:
pip install -e .
- Set up your API key:
cp .env.example .env
# Edit .env and add your API key
Or set the environment variable directly:
export SMITHSONIAN_API_KEY=your_api_key_here
Configuration for Claude Desktop
Add this to your Claude Desktop configuration file:
MacOS
Location: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows
Location: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"smithsonian": {
"command": "python",
"args": [
"-m",
"smithsonian_mcp_server.server"
],
"env": {
"SMITHSONIAN_API_KEY": "api-key-here"
}
}
}
}
Alternatively, if you installed it in a virtual environment:
{
"mcpServers": {
"smithsonian": {
"command": "/path/to/venv/bin/python",
"args": [
"-m",
"smithsonian_mcp_server.server"
],
"env": {
"SMITHSONIAN_API_KEY": "your_api_key_here"
}
}
}
}
Available Tools
search_collection
Search the Smithsonian collections with flexible query options.
Parameters:
query(required): Search query string (supports keywords, phrases in quotes, AND/OR operators)rows(optional): Number of results to return (default: 10, max: 1000)start(optional): Starting offset for pagination (default: 0)online_media_only(optional): Only return items with online media/images (default: false)
Example:
Search for "space shuttle" items with images
get_item
Get detailed information about a specific item.
Parameters:
item_id(required): The Smithsonian item ID (obtained from search results)
Example:
Get details for item "edanmdm-NASM_A19600093000"
get_category_terms
Get available terms for a specific category or facet.
Parameters:
category(required): Category name (e.g., 'online_media_type', 'data_source', 'topic', 'place')starts_with(optional): Filter terms that start with this string
Example:
Get available topics starting with "Art"
Example Usage
Once configured in Claude Desktop, you can ask Claude questions like:
- "Search the Smithsonian for information about the Wright Brothers"
- "Find items related to ancient Egypt with images"
- "Show me artifacts from the Air and Space Museum"
- "Get details about item edanmdm-NASM_A19600093000"
- "What data sources are available in the Smithsonian API?"
API Information
This server uses the Smithsonian Open Access API v1.0:
- Base URL:
https://api.si.edu/openaccess/api/v1.0 - Documentation: https://www.si.edu/openaccess/devtools
- Collections: 2.8+ million open access items
- Coverage: 19 Smithsonian museums, research centers, and libraries
Development
Install Development Dependencies
pip install -e ".[dev]"
Run Tests
pytest
Code Formatting
black src/
ruff check src/
License
MIT License - See LICENSE file for details
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Support
For issues related to:
- This MCP server: Open an issue on GitHub
- The Smithsonian API: Visit https://www.si.edu/openaccess/faq
- Claude Desktop: Visit https://docs.claude.com
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.