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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up NRC ADAMS (Nuclear Regulatory) MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke NRC ADAMS (Nuclear Regulatory) tools as needed.
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) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
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.",
tools=mcp_tools,
)
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) 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 CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the NRC ADAMS (Nuclear Regulatory) MCP today
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