molanojustin/smithsonian-mcp
by Various
A Model Context Protocol (MCP) server that provides AI assistants with access to the Smithsonian Institution's Open Access collections.
MCP
molanojustin/smithsonian-mcp
Added 1 June 2026
Overview
A Model Context Protocol (MCP) server that exposes the Smithsonian Institution's Open Access collections to AI assistants. It allows MCP-compatible clients to search and retrieve collection data via standard MCP tool calls.
Best for
Best for
Developers building MCP-enabled AI assistants focused on cultural heritage or museum data
Use cases
- Search Smithsonian collections for objects by keyword or category
- Retrieve detailed metadata and images from the Open Access API
- Integrate cultural heritage data into MCP-based AI assistant workflows
Notes
A Model Context Protocol (MCP) server that exposes the Smithsonian Institution’s Open Access collections to AI assistants. It allows MCP-compatible clients to search and retrieve collection data via standard MCP tool calls.
9 stars on GitHub. Last updated 2026-04-13. Licensed MIT.
Use cases
- Search Smithsonian collections for objects by keyword or category
- Retrieve detailed metadata and images from the Open Access API
- Integrate cultural heritage data into MCP-based AI assistant workflows
Pros
- Provides structured access to millions of Smithsonian digital records
- Simple MCP interface works with any compatible client
- Open source and easy to self-host or extend
Cons
- Limited to Smithsonian collections data only
- Depends on external Smithsonian API availability and rate limits
- Relatively small project with low community activity (9 stars)
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Provides structured access to millions of Smithsonian digital records
- Simple MCP interface works with any compatible client
- Open source and easy to self-host or extend
Cons
- Limited to Smithsonian collections data only
- Depends on external Smithsonian API availability and rate limits
- Relatively small project with low community activity (9 stars)
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