How to Use the NRC ADAMS (Nuclear Regulatory) MCP in Mastra AI

Q: How do I integrate NRC ADAMS (Nuclear Regulatory) with Mastra AI agents?

You add the server to your MCPClient configuration and spread the tools into your agent definition. This allows your Mastra agents to call the tools automatically within a workflow.

Build resilient regulatory workflows in Mastra AI using this NRC ADAMS (Nuclear Regulatory) MCP Server.

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Connect NRC ADAMS (Nuclear Regulatory) MCP to Mastra AI

Create your Vinkius account to connect NRC ADAMS (Nuclear Regulatory) to Mastra AI 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 Mastra AI

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Perplexity

Automated regulatory event monitoring

Use `get_nrc_rss_feed` within your Mastra agents to trigger workflows based on new reactor status updates. You can set conditional logic to alert your team immediately when a specific event occurs. This removes the need for manual monitoring. Your agents keep watch 24/7 and act the moment new data hits the wire.

Reliable legacy document searching

Implement `search_adams_legacy` as a step in your agent pipeline to gather historical context for complex filings. Mastra handles the retries if the network hits a snag. You avoid the headache of unstable connections during long document searches. The agent manages the process from request to result.

Workflow-driven tool execution

Integrate this MCP Server into your Mastra agents to handle multi-step regulatory research. You can require human approval for high-stakes queries before the agent proceeds. This keeps a human in the loop for sensitive decisions. It ensures every search aligns with your internal compliance standards.

Setup guide

Set up NRC ADAMS (Nuclear Regulatory) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All NRC ADAMS (Nuclear Regulatory) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "nrc-adams-nuclear-regulatory-mcp-client",
  servers: {
    "nrc-adams-nuclear-regulatory-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "NRC ADAMS (Nuclear Regulatory) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to NRC ADAMS (Nuclear Regulatory) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent NRC ADAMS (Nuclear Regulatory) transactions"
);
console.log(result.text);

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Common questions about NRC ADAMS (Nuclear Regulatory) MCP in Mastra AI

You add the server to your `MCPClient` configuration and spread the tools into your agent definition. This allows your Mastra agents to call the tools automatically within a workflow.

Yes, Mastra native features allow you to define retry logic for tool calls. If a search fails, the agent can attempt the query again automatically.

You can absolutely chain these tools within a workflow. For example, your agent can fetch a list of events and then search for related legacy documents to provide a full report.

You should define your filter structure as a variable within your agent's task description. This makes your search logic repeatable and easier to test.

All communication between your agent and the server uses secure transport protocols. The server only accesses public government documents, so no sensitive internal data is exposed.

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