Bring Regulatory Records
to Pydantic AI
Learn how to connect NRC ADAMS (Nuclear Regulatory) to Pydantic AI 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 Pydantic AI?
Pydantic AI validates every NRC ADAMS (Nuclear Regulatory) tool response against typed schemas, catching data inconsistencies at build time. Connect 2 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your NRC ADAMS (Nuclear Regulatory) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your NRC ADAMS (Nuclear Regulatory) connection logic from agent behavior for testable, maintainable code
NRC ADAMS (Nuclear Regulatory) in Pydantic AI
NRC ADAMS (Nuclear Regulatory) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect NRC ADAMS (Nuclear Regulatory) to Pydantic AI 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 Pydantic AI
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 Pydantic AI 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 Pydantic AI
Every tool call from Pydantic AI 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 Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your NRC ADAMS (Nuclear Regulatory) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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