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

Q: How do I index NRC ADAMS (Nuclear Regulatory) search results in LlamaIndex?

Use llama-index-tools-mcp to load the searchadamslegacy tool into your LlamaIndex agent. The retrieved NRC document output can be loaded as documents, embedded, and stored in your LlamaIndex vector database for semantic search.

Q: Can LlamaIndex handle the retiring legacy search tool from NRC ADAMS (Nuclear Regulatory)?

Yes, LlamaIndex can interface with searchadamslegacy until its retirement in June 2026. The LlamaIndex agent uses its function-calling capabilities to generate the complex filter structure required by the q parameter.

Q: How do I set up the NRC ADAMS MCP connection inside my LlamaIndex application?

Instantiate BasicMCPClient with the NRC ADAMS server URL, wrap it in McpToolSpec, and call totoollistasync(). This registers getnrcrssfeed and the legacy search tool as executable functions for your LlamaIndex agent.

Q: Can I filter which NRC tools my LlamaIndex agent has access to?

Yes, you can use the allowedtools filter when initializing the MCP tool specification in LlamaIndex. This lets you restrict a LlamaIndex agent to only run getnrcrssfeed if you want to prevent it from querying the legacy ADAMS database.

Index live reactor status reports and legacy NRC ADAMS documents directly into your LlamaIndex vector store.

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Connect NRC ADAMS (Nuclear Regulatory) MCP to LlamaIndex

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

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Build a RAG pipeline for nuclear regulatory audits

LlamaIndex takes the output of `search_adams_legacy` and converts the raw regulatory documents retrieved by the MCP Server into searchable vector embeddings. Instead of manually reading thousands of pages, your LlamaIndex agent queries the indexed ADAMS database to find specific safety precedents. This indexing process grounds your LlamaIndex agent's answers in official NRC documents. You avoid hallucinations because the LlamaIndex framework forces the LLM to cite specific ADAMS accession numbers retrieved from the legacy search tool.

Feed real-time safety updates into your knowledge index

Keep your local LlamaIndex knowledge base fresh by fetching the latest updates from `get_nrc_rss_feed`. LlamaIndex can run this NRC tool on a schedule, indexing new reactor status reports as they are published by the commission. This continuous LlamaIndex indexing means your RAG application always has the latest NRC context. When you ask LlamaIndex about recent reactor incidents, the system retrieves the newly indexed RSS items instead of relying on outdated training data.

Query complex ADAMS databases using this LlamaIndex MCP Server

Using `llama-index-tools-mcp`, you convert the NRC ADAMS server's capabilities into standard LlamaIndex tools like `get_nrc_rss_feed`. The LlamaIndex agent uses these tools to navigate the complex query structure of the legacy ADAMS database without requiring you to write custom API wrappers. This integration lets you focus on building the LlamaIndex search interface for nuclear records. The LlamaIndex framework handles the translation of natural language queries into the precise filters required by the legacy WBA API.

Setup guide

Set up NRC ADAMS (Nuclear Regulatory) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all NRC ADAMS (Nuclear Regulatory) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to NRC ADAMS (Nuclear Regulatory) tools.",
)
response = await agent.run("List recent NRC ADAMS (Nuclear Regulatory) data")

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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 LlamaIndex

Use `llama-index-tools-mcp` to load the `search_adams_legacy` tool into your LlamaIndex agent. The retrieved NRC document output can be loaded as documents, embedded, and stored in your LlamaIndex vector database for semantic search.

Yes, LlamaIndex can interface with `search_adams_legacy` until its retirement in June 2026. The LlamaIndex agent uses its function-calling capabilities to generate the complex filter structure required by the `q` parameter.

Instantiate `BasicMCPClient` with the NRC ADAMS server URL, wrap it in `McpToolSpec`, and call `to_tool_list_async()`. This registers `get_nrc_rss_feed` and the legacy search tool as executable functions for your LlamaIndex agent.

Yes, you can use the `allowed_tools` filter when initializing the MCP tool specification in LlamaIndex. This lets you restrict a LlamaIndex agent to only run `get_nrc_rss_feed` if you want to prevent it from querying the legacy ADAMS database.

The server retrieves public RSS feeds and public NRC documents, which contain no classified data. All LlamaIndex indexing and vector storage happen locally within your infrastructure, ensuring your nuclear regulatory search history remains private.

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