NRC ADAMS (Nuclear Regulatory) MCP Server for CrewAIGive CrewAI instant access to 2 tools to Get Nrc Rss Feed and Search Adams Legacy

Name: NRC ADAMS (Nuclear Regulatory)
Price: 29 USD
Availability: InStock
Rating: 2.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to NRC ADAMS (Nuclear Regulatory) through Vinkius, pass the Edge URL in the `mcps` parameter and every NRC ADAMS (Nuclear Regulatory) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The NRC ADAMS (Nuclear Regulatory) MCP Server for CrewAI is a standout in the Document Management category — giving your AI agent 2 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="NRC ADAMS (Nuclear Regulatory) Specialist",
    goal="Help users interact with NRC ADAMS (Nuclear Regulatory) effectively",
    backstory=(
        "You are an expert at leveraging NRC ADAMS (Nuclear Regulatory) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in NRC ADAMS (Nuclear Regulatory) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 2 available tools "
        "and what they can do."
    ),
)

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

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About NRC ADAMS (Nuclear Regulatory) MCP Server

Connect to the NRC ADAMS (Agencywide Documents Access and Management System) to query the primary repository for official records and public documents from the U.S. Nuclear Regulatory Commission.

When paired with CrewAI, NRC ADAMS (Nuclear Regulatory) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call NRC ADAMS (Nuclear Regulatory) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Legacy Document Search — Utilize the Web-Based ADAMS (WBA) API to search for publicly available documents using complex filters (Note: Legacy API retires June 2026).
Real-time Monitoring — Fetch live RSS feeds for daily event reports, news releases, and current power reactor status.
Content Discovery — Track new content additions to the NRC library as they are published.
Plant Status Tracking — Monitor the operational status of nuclear power plants across the country through dedicated status feeds.

The NRC ADAMS (Nuclear Regulatory) MCP Server exposes 2 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 2 NRC ADAMS (Nuclear Regulatory) tools available for CrewAI

When CrewAI connects to NRC ADAMS (Nuclear Regulatory) through Vinkius, your AI agent gets direct access to every tool listed below — spanning regulatory-records, public-data, document-search, 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 nrc rss feed on NRC ADAMS (Nuclear Regulatory)

Get NRC RSS feeds for events, news, and status

Search adams legacy on NRC ADAMS (Nuclear Regulatory)

Note: This API is retiring June 2026. The q parameter uses a complex filter structure. Search NRC ADAMS documents using the legacy WBA API

Connect NRC ADAMS (Nuclear Regulatory) to CrewAI via MCP

Follow these steps to wire NRC ADAMS (Nuclear Regulatory) into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 2 tools from NRC ADAMS (Nuclear Regulatory)

Why Use CrewAI with the NRC ADAMS (Nuclear Regulatory) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with NRC ADAMS (Nuclear Regulatory) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

NRC ADAMS (Nuclear Regulatory) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the NRC ADAMS (Nuclear Regulatory) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries NRC ADAMS (Nuclear Regulatory) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries NRC ADAMS (Nuclear Regulatory), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain NRC ADAMS (Nuclear Regulatory) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries NRC ADAMS (Nuclear Regulatory) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for NRC ADAMS (Nuclear Regulatory) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with NRC ADAMS (Nuclear Regulatory) immediately.

"Search NRC ADAMS for public documents related to 'Gamma Knife' technology."

"Get the latest NRC news releases and announcements."

"Show me the current daily power reactor status report."

Troubleshooting NRC ADAMS (Nuclear Regulatory) MCP Server with CrewAI

Common issues when connecting NRC ADAMS (Nuclear Regulatory) to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

NRC ADAMS (Nuclear Regulatory) + CrewAI FAQ

Common questions about integrating NRC ADAMS (Nuclear Regulatory) MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

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