Is an API Key required for Federal Register API?

No. The Federal Register API is a free and open service provided by the United States government. This server works out of the box without any static credentials required.

What types of documents are available?

The API provides access to rules, proposed rules, notices, and presidential documents published in the Federal Register.

Can the agent show agency publication counts?

Yes. The `list_federal_agencies` tool retrieves the list of agencies along with their metadata, assisting in identifying which entities publish most frequently.

Federal Register API MCP Server for LlamaIndex 4 tools — connect in under 2 minutes

Name: Federal Register API
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 4 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Federal Register API as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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python

import 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 API. "
            "You have 4 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Federal Register API?"
    )
    print(response)

asyncio.run(main())

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About Federal Register API MCP Server

Empower your AI agent to orchestrate your entire public policy research and document auditing workflow with the Federal Register API, the authoritative source for United States government rules and notices. By connecting the Federal Register to your agent, you transform complex administrative searches into a natural conversation. Your agent can instantly retrieve active document details, audit agency publications, and query specific rule metadata without you ever touching a government portal. Whether you are conducting regulatory research or managing regional policy constraints, your agent acts as a real-time administrative consultant, ensuring your data is always verified and precise.

LlamaIndex agents combine Federal Register API tool responses with indexed documents for comprehensive, grounded answers. Connect 4 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 Auditing — Search for thousands of public documents and rules by keyword and retrieve detailed metadata, including publication dates and agencies.
Agency Oversight — Audit all US government agencies that publish in the Federal Register to understand the administrative reach of public sector rules instantly.
Rule Discovery — Query specific document numbers to assist in deep-dive regulatory and temporal classification.
Metadata Intelligence — Retrieve unique document identifiers and HTML links to assist in professional policy auditing.
Operational Monitoring — Check API status to ensure your document research workflow is always operational.

The Federal Register API MCP Server exposes 4 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Federal Register API to LlamaIndex via MCP

Follow these steps to integrate the Federal Register API MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 4 tools from Federal Register API

Why Use LlamaIndex with the Federal Register API MCP Server

LlamaIndex provides unique advantages when paired with Federal Register API through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Federal Register API tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Federal Register API tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Federal Register API, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Federal Register API tools were called, what data was returned, and how it influenced the final answer

Federal Register API + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Federal Register API MCP Server delivers measurable value.

Hybrid search: combine Federal Register API real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Federal Register API 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 API for fresh data

Analytical workflows: chain Federal Register API queries with LlamaIndex's data connectors to build multi-source analytical reports

Federal Register API MCP Tools for LlamaIndex (4)

These 4 tools become available when you connect Federal Register API to LlamaIndex via MCP:

check_api_status

Check if the Federal Register service is operational

get_federal_document_details

Get full metadata and HTML links for a specific federal document

list_federal_agencies

List all government agencies that publish in the Federal Register

search_federal_documents

Search for public documents and rules in the Federal Register

Example Prompts for Federal Register API in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Federal Register API immediately.

"Search for documents about 'environmental protection' in the Federal Register."

"Show details for Federal Register document '2023-00001'."

"List all agencies that publish in the Federal Register."

Troubleshooting Federal Register API MCP Server with LlamaIndex

Common issues when connecting Federal Register API to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Federal Register API + LlamaIndex FAQ

Common questions about integrating Federal Register API MCP Server with LlamaIndex.

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 API tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.