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OSTI (DOE Scientific Research) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 6 tools to Get Data Explorer Record, Get Osti Record, Reserve Doi, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect OSTI (DOE Scientific Research) 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 OSTI (DOE Scientific Research) MCP Server for OpenAI Agents SDK is a standout in the Knowledge Management category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import 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="OSTI (DOE Scientific Research) Assistant",
            instructions=(
                "You help users interact with OSTI (DOE Scientific Research). "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from OSTI (DOE Scientific Research)"
        )
        print(result.final_output)

asyncio.run(main())
OSTI (DOE Scientific Research)
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 OSTI (DOE Scientific Research) MCP Server

Connect to the Office of Scientific and Technical Information (OSTI) to query the US Department of Energy's vast research output. This MCP server allows AI agents to navigate millions of research records and datasets through natural conversation.

The OpenAI Agents SDK auto-discovers all 6 tools from OSTI (DOE Scientific Research) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries OSTI (DOE Scientific Research), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Research Search — Query OSTI.GOV for publications, reports, and conference papers using authors, titles, or specific identifiers.
  • Dataset Discovery — Search the DOE Data Explorer specifically for scientific datasets and retrieve detailed metadata for data-driven insights.
  • Record Inspection — Fetch comprehensive bibliographic data and full-text availability for specific records using unique OSTI IDs.
  • DOI Management — Reserve and submit Digital Object Identifiers (DOIs) via the E-Link API for DOE-funded scientific research and data.
  • Advanced Filtering — Narrow down results by sponsoring organization, research organization, or specific publication date ranges.

The OSTI (DOE Scientific Research) MCP Server exposes 6 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 6 OSTI (DOE Scientific Research) tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to OSTI (DOE Scientific Research) through Vinkius, your AI agent gets direct access to every tool listed below — spanning doe-research, scientific-publications, metadata-management, 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

Get data explorer record on OSTI (DOE Scientific Research)

Get a single DOE Data Explorer record by ID

get

Get osti record on OSTI (DOE Scientific Research)

Get a single OSTI.GOV record by ID

reserve

Reserve doi on OSTI (DOE Scientific Research)

Requires minimal metadata. Reserve a DOI via E-Link API

search

Search data explorer records on OSTI (DOE Scientific Research)

Search DOE Data Explorer records (datasets)

search

Search osti records on OSTI (DOE Scientific Research)

Search OSTI.GOV records

submit

Submit record on OSTI (DOE Scientific Research)

Submit/Update a record and register DOI via E-Link API

Connect OSTI (DOE Scientific Research) to OpenAI Agents SDK via MCP

Follow these steps to wire OSTI (DOE Scientific Research) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 6 tools from OSTI (DOE Scientific Research)

Why Use OpenAI Agents SDK with the OSTI (DOE Scientific Research) MCP Server

OpenAI Agents SDK provides unique advantages when paired with OSTI (DOE Scientific Research) through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

OSTI (DOE Scientific Research) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the OSTI (DOE Scientific Research) MCP Server delivers measurable value.

01

Automated workflows: build agents that query OSTI (DOE Scientific Research), process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries OSTI (DOE Scientific Research), another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through OSTI (DOE Scientific Research) tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query OSTI (DOE Scientific Research) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for OSTI (DOE Scientific Research) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with OSTI (DOE Scientific Research) immediately.

01

"Search for research papers about 'quantum computing' published in 2023."

02

"Find scientific datasets related to 'solar irradiance' in the DOE Data Explorer."

03

"Get the complete metadata for OSTI record ID 1015678."

Troubleshooting OSTI (DOE Scientific Research) MCP Server with OpenAI Agents SDK

Common issues when connecting OSTI (DOE Scientific Research) to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

OSTI (DOE Scientific Research) + OpenAI Agents SDK FAQ

Common questions about integrating OSTI (DOE Scientific Research) MCP Server with OpenAI Agents SDK.

01

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.
02

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.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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