Bring Regulatory Records
to Google ADK
Learn how to connect NRC ADAMS (Nuclear Regulatory) to Google ADK and start using 2 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your NRC API access credentials or identifier
- Start querying nuclear regulatory data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Researchers & Scientists — quickly find technical documents and safety reports related to nuclear materials and facilities.
- Legal & Compliance Officers — track regulatory filings, news releases, and official NRC correspondence.
- Energy Analysts — monitor daily plant status and event reports to understand trends in the nuclear power sector.
Built-in capabilities (2)
Get NRC RSS feeds for events, news, and status
Note: This API is retiring June 2026. The q parameter uses a complex filter structure. Search NRC ADAMS documents using the legacy WBA API
Why Google ADK?
Google ADK natively supports NRC ADAMS (Nuclear Regulatory) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 2 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with NRC ADAMS (Nuclear Regulatory)
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine NRC ADAMS (Nuclear Regulatory) tools with BigQuery, Vertex AI, and Cloud Functions
NRC ADAMS (Nuclear Regulatory) in Google ADK
NRC ADAMS (Nuclear Regulatory) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect NRC ADAMS (Nuclear Regulatory) to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for NRC ADAMS (Nuclear Regulatory) in Google ADK
The NRC ADAMS (Nuclear Regulatory) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 2 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
NRC ADAMS (Nuclear Regulatory) for Google ADK
Every tool call from Google ADK to the NRC ADAMS (Nuclear Regulatory) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I search for specific technical documents like 'Gamma Knife' in the NRC library?
You can use the search_adams_legacy tool. Provide a query string in the q parameter, such as (mode:sections,sections:(filters:(public-library:!t),single_content_search:'Gamma+Knife')), to filter for documents in the public library.
Is it possible to get the daily operational status of nuclear power plants?
Yes. Use the get_nrc_rss_feed tool and set the feed parameter to plant-status. This will retrieve the latest power reactor status reports directly from the NRC.
What happens to the search functionality after June 2026?
The search_adams_legacy tool uses the WBA API which is scheduled for retirement in June 2026. After this date, the server will need to be updated to support the NRC's successor API systems.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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