How to Use the FEMA MCP in CrewAI

Deploy specialized agent teams to analyze FEMA disaster data using CrewAI.

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Connect FEMA MCP to CrewAI

Create your Vinkius account to connect FEMA to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup FEMA with CrewAI

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Collaborative disaster analysis with CrewAI

CrewAI allows you to set up specialized teams where one agent researches and another analyzes. For example, your research agent can pull data using `get_disaster_applications` while your analyst agent calculates regional impact. This division of labor makes processing emergency data much faster. The agents pass the context back and forth automatically, giving you a finished report without manual coordination.

Multi-agent grant vetting pipelines

Vetting hazard grants is tedious work. With this MCP Server, your CrewAI agents can divide the task. One agent queries `get_hazard_mitigation_grants` to pull the project list, while a second agent cross-references the data with state emergency contacts. By using `get_emergency_agencies`, the second agent can quickly verify if the local coordinators are already in your system. This entire pipeline runs autonomously.

Automated regional reporting

Preparing briefings for regional directors takes hours. You can assign an agent to pull active declarations using `list_disaster_declarations` and another to map them to specific areas. The crew queries `get_fema_regions` to group the disasters by territory. The final output is a clean, organized summary ready for your regional leadership.

Setup guide

Set up FEMA MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke FEMA tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="FEMA Analyst",
    goal="Access and analyze FEMA data via MCP.",
    backstory="Expert analyst with direct FEMA access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent FEMA transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="FEMA Analyst",
        goal="Access and analyze FEMA data via MCP.",
        backstory="Expert analyst with direct FEMA access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent FEMA transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FEMA. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about FEMA MCP in CrewAI

Pass the Vinkius HTTP URL directly in your Agent's mcps list. CrewAI will automatically inspect the server and make all 11 tools available to that specific agent.

Yes. CrewAI manages tool access across the entire crew. One agent can query `get_housing_assistance` while another calls `get_registration_intake` at the same time.

Yes. You can use the MCPServerHTTP class from the crewai.mcp package and apply a tool filter to restrict agents to specific endpoints like `list_disaster_declarations`.

CrewAI uses a shared memory system. When an agent pulls data from `get_fema_web_centers`, that information is instantly available to other agents in the crew for downstream tasks.

It isn't stored. This MCP Server queries public OpenFEMA endpoints for aggregate data, such as stats retrieved via `get_disaster_applications`. Your queries run in an ephemeral V8 sandbox that wipes all session data immediately after execution.

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