Federal Register API MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Federal Register API through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Federal Register API Assistant",
instructions=(
"You help users interact with Federal Register API. "
"You have access to 4 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Federal Register API"
)
print(result.final_output)
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 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.
The OpenAI Agents SDK auto-discovers all 4 tools from Federal Register API through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Federal Register API, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Federal Register API MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 4 tools from Federal Register API
Why Use OpenAI Agents SDK with the Federal Register API MCP Server
OpenAI Agents SDK provides unique advantages when paired with Federal Register API through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Federal Register API + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Federal Register API MCP Server delivers measurable value.
Automated workflows: build agents that query Federal Register API, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Federal Register API, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Federal Register API tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Federal Register API to resolve tickets, look up records, and update statuses without human intervention
Federal Register API MCP Tools for OpenAI Agents SDK (4)
These 4 tools become available when you connect Federal Register API to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Federal Register API to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Federal Register API + OpenAI Agents SDK FAQ
Common questions about integrating Federal Register API MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Federal Register API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Federal Register API to OpenAI Agents SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.
