Bring Museum Records
to Mastra AI
Learn how to connect Smithsonian Open Access to Mastra AI and start using 3 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Smithsonian Open Access MCP Server?
Connect to the Smithsonian Open Access repository and bring millions of museum records, scientific data, and historical artifacts directly into your AI workspace. This server provides programmatic access to the Smithsonian's Enterprise Digital Asset Network (EDAN).
What you can do
- Global Search — Query millions of records across all Smithsonian units using the
search_recordstool to find images, specimens, and artifacts. - Detailed Metadata — Use
get_contentto retrieve comprehensive descriptions, provenance, and digital asset links for specific museum objects. - Categorized Discovery — Narrow your research to specific fields like art, history, or science using the
search_categorytool for more precise results. - Research & Education — Instantly pull primary source data for academic research, educational content, or creative projects.
How it works
- Subscribe to this server
- Enter your Smithsonian API Key
- Start exploring the world's largest museum, education, and research complex through Claude, Cursor, or any MCP client
Who is this for?
- Researchers & Academics — quickly gather metadata and primary source information for scholarly work
- Educators — find high-quality museum records and images to enhance learning materials
- Developers & Creatives — integrate authentic historical and scientific data into applications and digital experiences
Built-in capabilities (3)
Retrieve a specific museum record by its unique identifier
Search within specific categories or units
Search for museum records across all Smithsonian units
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Smithsonian Open Access tool infrastructure. Connect 3 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
- —
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Smithsonian Open Access without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Smithsonian Open Access tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Smithsonian Open Access in Mastra AI
Smithsonian Open Access and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Smithsonian Open Access to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Smithsonian Open Access in Mastra AI
The Smithsonian Open Access MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 3 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Smithsonian Open Access for Mastra AI
Every tool call from Mastra AI to the Smithsonian Open Access MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I search for specific historical figures across all Smithsonian museums?
Yes! Use the search_records tool with your query (e.g., 'Abraham Lincoln'). It will return matching records, images, and artifacts from across all Smithsonian units.
How do I get the full metadata for a specific museum object?
Use the get_content tool with the unique identifier (ID) of the record. This will fetch detailed metadata, including descriptions, dates, and media links.
Is it possible to limit my search to just art or science categories?
Yes, the search_category tool allows you to specify a category (like 'art', 'history', or 'science') along with your search query to get more targeted results.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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