Bring Federal Register
to LlamaIndex
Learn how to connect Federal Register to LlamaIndex and start using 9 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 Federal Register MCP Server?
Connect your AI agent to the Federal Register and navigate the vast landscape of U.S. government regulations and public notices through natural language.
What you can do
- Document Search — Search through millions of documents published since 1994 using filters like agency, date, document type, and RIN.
- Public Inspection — Access the 'Public Inspection' desk to see documents scheduled for publication before they officially hit the register.
- Agency Intelligence — List all federal agencies and retrieve detailed profiles, including their recent regulatory activity and metadata.
- Regulatory Tracking — Monitor specific dockets, Regulation Identifier Numbers (RIN), and CFR titles/parts to stay ahead of compliance changes.
- Deep Metadata — Fetch full document details, including publication dates, page ranges, and agency contact information.
How it works
- Subscribe to this server
- No API key is required for standard public access
- Start querying the Federal Register from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Legal Professionals — quickly find specific rules or notices without navigating complex government portals
- Compliance Officers — track regulatory changes and public inspection filings in real-time
- Policy Researchers — analyze agency activity and historical document trends via AI-driven search
Built-in capabilities (9)
Fetch a single agency by slug
Retrieve all documents currently on public inspection
Fetch a single published document
Fetch multiple published documents
Retrieve documents on public inspection on a specific date
Fetch a single public inspection document
List all federal agencies
Search published Federal Register documents
Search public inspection documents
Why LlamaIndex?
LlamaIndex agents combine Federal Register tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Federal Register tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Federal Register tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Federal Register, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Federal Register tools were called, what data was returned, and how it influenced the final answer
Federal Register in LlamaIndex
Federal Register and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Federal Register to LlamaIndex 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 Federal Register in LlamaIndex
The Federal Register 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 9 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex 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
Federal Register for LlamaIndex
Every tool call from LlamaIndex to the Federal Register MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find documents from a specific agency like the FDA?
First, use the list_agencies tool to find the correct agency slug or ID. Then, use the search_documents tool and provide that slug in the agencies parameter to filter results.
Can I see documents before they are officially published in the daily register?
Yes! Use the search_public_inspection or get_current_public_inspection tools. These access the 'Public Inspection' desk, which contains documents filed for public review before their formal publication date.
Is it possible to search for documents related to a specific Regulation Identifier Number (RIN)?
Absolutely. Use the search_documents tool and provide the rin parameter. This will return all published documents associated with that specific regulatory action.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Federal Register tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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