Bring Museum Records
to OpenAI Agents SDK
Learn how to connect Smithsonian Open Access to OpenAI Agents SDK 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 OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 3 tools from Smithsonian Open Access through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Smithsonian Open Access, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
- —
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Smithsonian Open Access in OpenAI Agents SDK
Smithsonian Open Access and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Smithsonian Open Access to OpenAI Agents SDK 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 OpenAI Agents SDK
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 OpenAI Agents SDK 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 OpenAI Agents SDK
Every tool call from OpenAI Agents SDK 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 the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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