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

Deploy specialized agent crews to analyze nuclear reports with this NRC ADAMS (Nuclear Regulatory) MCP Server.

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Connect NRC ADAMS (Nuclear Regulatory) MCP to CrewAI

Create your Vinkius account to connect NRC ADAMS (Nuclear Regulatory) to CrewAI 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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Autonomous NRC status monitoring

Assign a dedicated agent to run `get_nrc_rss_feed` periodically. This agent acts as the eyes of your crew, reporting new events to the rest of the team for immediate review. You get a continuous flow of intelligence without writing custom polling scripts. The agent handles the timing and data parsing automatically.

Historical research by specialized agents

Use `search_adams_legacy` in your research agent's toolset to pull deep regulatory history. The agent can filter through decades of data to find relevant precedents for your current incident. This lets your crew focus on analysis rather than database navigation. The tool does the heavy lifting of querying the legacy records.

Collaborative agent intelligence

Combine the RSS and legacy search tools to give your crew a complete view of reactor incidents. One agent monitors current status, while another verifies against historical filings. This hierarchy allows for precise, multi-agent responses. Your crew operates as a single unit, sharing memory to build a clear picture of any situation.

Setup guide

Set up NRC ADAMS (Nuclear Regulatory) MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke NRC ADAMS (Nuclear Regulatory) tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="NRC ADAMS (Nuclear Regulatory) Analyst",
    goal="Access and analyze NRC ADAMS (Nuclear Regulatory) data via MCP.",
    backstory="Expert analyst with direct NRC ADAMS (Nuclear Regulatory) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent NRC ADAMS (Nuclear Regulatory) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Common questions about NRC ADAMS (Nuclear Regulatory) MCP in CrewAI

You pass the server URL directly into your agent's MCP list. This gives your agents immediate access to the RSS and legacy search tools.
Yes, you can define a monitor agent to watch the feeds and a researcher agent to search legacy documents. They work together to escalate issues based on their findings.
It provides the shared data your agents need to make decisions. By using these tools, your agents can compare real-time events against historical safety records.
You provide the filter parameters in the tool call arguments within your agent's task. The tool then executes the search exactly as specified.
The server enforces strict access controls on the connection. It only retrieves public records, ensuring that no unauthorized data is ever touched during the research process.

Start using the NRC ADAMS (Nuclear Regulatory) MCP today

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