How to Use the NRC ADAMS (Nuclear Regulatory) MCP in OpenAI Agents SDK

Q: Can I trace NRC ADAMS (Nuclear Regulatory) RSS queries in the OpenAI Agents SDK dashboard?

Yes, every execution of getnrcrssfeed appears in your telemetry dashboard. You see the exact input parameters, the raw XML response from the regulatory feed, and how your agent parsed the incident details.

Q: How do I register the server in my Python code?

Use MCPServerStreamableHttp with your Vinkius endpoint token. Pass the server instance directly to the Agent constructor, and the SDK will auto-discover the tools.

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Connect NRC ADAMS (Nuclear Regulatory) MCP to OpenAI Agents SDK

Create your Vinkius account to connect NRC ADAMS (Nuclear Regulatory) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup NRC ADAMS (Nuclear Regulatory) with OpenAI Agents SDK

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Track Reactor Events with OpenAI Agents SDK

The `get_nrc_rss_feed` tool pulls official live updates on reactor statuses and event notifications directly into your specialized OpenAI agents. You configure the agent with this tool, and the SDK automatically handles schema discovery during execution. Your safety agent monitors the feed and triggers handoffs to validation agents if an anomalous event occurs. This setup keeps your production monitoring pipeline focused, passing structured incident reports between specialized agents without manual routing.

Query Legacy ADAMS Records with Guardrails

The `search_adams_legacy` tool queries the historical document repository of the Nuclear Regulatory Commission using the complex legacy query structure. Because the legacy API retires in June 2026, your OpenAI agents can use built-in guardrails to validate the structured query parameters before firing the request. You trace these complex queries inside the OpenAI developer dashboard to see exactly how your agent translates user prompts into the legacy search syntax. If the model generates a malformed query, the SDK catches the error before hitting the live endpoint.

Run Secure Nuclear Audits via MCP Server

The `search_adams_legacy` tool connects your production python agents to historical regulatory filings without exposing your raw environment. This MCP Server runs inside a secure V8 isolate sandbox on Vinkius, which isolates every database lookup from your main application runtime. Because Vinkius manages the authentication token, your OpenAI agents only need a single endpoint URL to query sensitive reactor documentation. You get immediate access to public safety records while maintaining a zero-trust execution environment.

Setup guide

Set up NRC ADAMS (Nuclear Regulatory) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all NRC ADAMS (Nuclear Regulatory) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives NRC ADAMS (Nuclear Regulatory) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate NRC ADAMS (Nuclear Regulatory) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="NRC ADAMS (Nuclear Regulatory) Agent",
            instructions="You have access to NRC ADAMS (Nuclear Regulatory) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NRC ADAMS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about NRC ADAMS (Nuclear Regulatory) MCP in OpenAI Agents SDK

The SDK lets you build agent handoffs that route queries away from `search_adams_legacy` once the deadline hits. You can update the underlying MCP tool definition without rewriting your entire agentic workflow.

Yes, every execution of `get_nrc_rss_feed` appears in your telemetry dashboard. You see the exact input parameters, the raw XML response from the regulatory feed, and how your agent parsed the incident details.

Yes, you can enforce strict input schemas using the SDK's built-in guardrails. This prevents your agents from passing malformed filters to `search_adams_legacy`, saving API bandwidth and avoiding runtime exceptions.

Use `MCPServerStreamableHttp` with your Vinkius endpoint token. Pass the server instance directly to the Agent constructor, and the SDK will auto-discover the tools.

Vinkius executes the server inside ephemeral V8 isolates, meaning your reactor status reports and search queries are never stored. The raw document data flows directly to your OpenAI runtime through a single-use secure tunnel.

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