Federal Register MCP Server for LlamaIndexGive LlamaIndex instant access to 9 tools to Get Agency, Get Current Public Inspection, Get Document, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Federal Register as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The Federal Register MCP Server for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Federal Register. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Federal Register?"
)
print(response)
asyncio.run(main())
* 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
About 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.
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.
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.
The Federal Register MCP Server exposes 9 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 9 Federal Register tools available for LlamaIndex
When LlamaIndex connects to Federal Register through Vinkius, your AI agent gets direct access to every tool listed below — spanning federal-register, government-documents, regulatory-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get agency on Federal Register
Fetch a single agency by slug
Get current public inspection on Federal Register
Retrieve all documents currently on public inspection
Get document on Federal Register
Fetch a single published document
Get multiple documents on Federal Register
Fetch multiple published documents
Get public inspection by date on Federal Register
Retrieve documents on public inspection on a specific date
Get public inspection document on Federal Register
Fetch a single public inspection document
List agencies on Federal Register
List all federal agencies
Search documents on Federal Register
Search published Federal Register documents
Search public inspection on Federal Register
Search public inspection documents
Connect Federal Register to LlamaIndex via MCP
Follow these steps to wire Federal Register into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Federal Register MCP Server
LlamaIndex provides unique advantages when paired with Federal Register through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Federal Register tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Federal Register tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Federal Register, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Federal Register tools were called, what data was returned, and how it influenced the final answer
Federal Register + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Federal Register MCP Server delivers measurable value.
Hybrid search: combine Federal Register real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Federal Register to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Federal Register for fresh data
Analytical workflows: chain Federal Register queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Federal Register in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Federal Register immediately.
"Search for recent 'rule' type documents from the Environmental Protection Agency."
"What documents are currently on the public inspection desk for today?"
"Get the profile and recent activity for the agency with slug 'education-department'."
Troubleshooting Federal Register MCP Server with LlamaIndex
Common issues when connecting Federal Register to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFederal Register + LlamaIndex FAQ
Common questions about integrating Federal Register MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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