FEMA MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect FEMA 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="FEMA Assistant",
instructions=(
"You help users interact with FEMA. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from FEMA"
)
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 FEMA MCP Server
Connect to the OpenFEMA public database through any AI agent and gain instant access to official data regarding disasters, emergency management, and federal assistance programs.
The OpenAI Agents SDK auto-discovers all 11 tools from FEMA through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries FEMA, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Disaster Tracking — List official FEMA disaster declarations since 1953 and fetch detailed metadata for specific incidents natively
- Emergency Orchestration — List emergency management agencies by state to verify local coordination contacts flawlessly
- Assistance Analysis — Query housing assistance program data and individual assistance registrations to analyze recovery efforts natively
- Grant Inspection — Access hazard mitigation assistance projects and grant details to monitor community safety investments flawlessly
- Regional Insights — List official FEMA regions and web center locations to understand federal jurisdictional boundaries synchronously
- Public Data Access — Retrieve raw structured data from the official U.S. Federal Emergency Management Agency API without complex manual exports
The FEMA MCP Server exposes 11 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 FEMA to OpenAI Agents SDK via MCP
Follow these steps to integrate the FEMA 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 11 tools from FEMA
Why Use OpenAI Agents SDK with the FEMA MCP Server
OpenAI Agents SDK provides unique advantages when paired with FEMA 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
FEMA + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the FEMA MCP Server delivers measurable value.
Automated workflows: build agents that query FEMA, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries FEMA, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through FEMA tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query FEMA to resolve tickets, look up records, and update statuses without human intervention
FEMA MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect FEMA to OpenAI Agents SDK via MCP:
get_disaster_applications
Get statistics on disaster assistance applications
get_emergency_agencies
List emergency management agencies by state
get_fema_regions
List official FEMA regions
get_fema_web_centers
List FEMA web center locations
get_hazard_mitigation_grants
Get data on hazard mitigation assistance projects
get_housing_assistance
Get data regarding FEMA housing assistance programs
get_individuals_program
Get data on individuals and households program registrations
get_me
Get current API status
get_public_assistance_applicants
List applicants for FEMA public assistance
get_registration_intake
Get data from individual and household program registrations
list_disaster_declarations
List recent official FEMA disaster declarations
Example Prompts for FEMA in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with FEMA immediately.
"List recent disaster declarations in Florida."
"Get emergency management agency info for California."
"Show hazard mitigation projects in Texas."
Troubleshooting FEMA MCP Server with OpenAI Agents SDK
Common issues when connecting FEMA to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
FEMA + OpenAI Agents SDK FAQ
Common questions about integrating FEMA 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 FEMA 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 FEMA to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.