Smithsonian Open Access MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 3 tools to Get Content, Search Category, Search Records
GDPR Free for SubscribersThe OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Smithsonian Open Access through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The Smithsonian Open Access MCP Server for OpenAI Agents SDK is a standout in the Knowledge Management category — giving your AI agent 3 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Smithsonian Open Access Assistant",
instructions=(
"You help users interact with Smithsonian Open Access. "
"You have access to 3 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Smithsonian Open Access"
)
print(result.final_output)
asyncio.run(main())
* 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
About 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).
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.
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.
The Smithsonian Open Access MCP Server exposes 3 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 3 Smithsonian Open Access tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Smithsonian Open Access through Vinkius, your AI agent gets direct access to every tool listed below — spanning museum-records, digital-assets, historical-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get content on Smithsonian Open Access
Retrieve a specific museum record by its unique identifier
Search category on Smithsonian Open Access
Search within specific categories or units
Search records on Smithsonian Open Access
Search for museum records across all Smithsonian units
Connect Smithsonian Open Access to OpenAI Agents SDK via MCP
Follow these steps to wire Smithsonian Open Access into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Smithsonian Open Access MCP Server
OpenAI Agents SDK provides unique advantages when paired with Smithsonian Open Access through the Model Context Protocol.
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 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Smithsonian Open Access MCP Server delivers measurable value.
Automated workflows: build agents that query Smithsonian Open Access, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Smithsonian Open Access, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Smithsonian Open Access tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Smithsonian Open Access to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Smithsonian Open Access in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Smithsonian Open Access immediately.
"Search for records related to the Apollo 11 mission."
"Get the full details for the record with ID edanmdm:nmah_1313964."
"Search for 'impressionism' within the art category."
Troubleshooting Smithsonian Open Access MCP Server with OpenAI Agents SDK
Common issues when connecting Smithsonian Open Access to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Smithsonian Open Access + OpenAI Agents SDK FAQ
Common questions about integrating Smithsonian Open Access MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
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?
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