How to Use the FRED GeoFRED — Regional Economic Data MCP in CrewAI

Q: How do my CrewAI agents access the FRED GeoFRED — Regional Economic Data server?

You can pass the server's Vinkius URL directly into the mcps parameter when defining your Agent. For more control, use the MCPServerHTTP class from crewai.mcp to filter which tools from this MCP server, like getregionaldata, are available to specific agents.

Q: Can different agents in my crew use different tools from this server?

Yes. You can create a 'Data' agent that only has access to getregionaldata and a 'Mapping' agent that can only use getgeoshapes. This role-based tool access is a key feature of CrewAI for building specialized, efficient teams.

Deploy an autonomous crew of AI agents to research and report on regional economic trends. CrewAI makes team-based analysis possible.

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Connect FRED GeoFRED — Regional Economic Data MCP to CrewAI

Create your Vinkius account to connect FRED GeoFRED — Regional Economic Data 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 FRED GeoFRED — Regional Economic Data with CrewAI

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Perplexity

Assign a Dedicated Research Agent

Give one agent the 'Researcher' role and task it with using `get_series_group`. Its only job is to discover all available economic series for a list of counties you provide. It finds out what data exists and what its parameters are. Once its work is done, it passes a clean list of valid series IDs to the next agent in the crew. This is how CrewAI breaks down a complex research project into manageable, specialized tasks. No single agent has to do everything.

Build an Analysis Assembly Line

Create a second 'Data Analyst' agent that takes the series IDs from the Researcher. Its job is to methodically call `get_regional_data` for each ID, fetching the raw numbers for every dataset. A third 'Geographer' agent can then use `get_geo_shapes` to get the map files for visualization. The crew works in sequence, each agent building on the previous one's output. It's an assembly line for economic insight. This MCP server provides the specialized tools each agent needs to perform its role effectively.

Generate Reports Autonomously

The final agent in your crew, the 'Writer', takes the structured data from the Analyst and the map files from the Geographer. Its directive is to synthesize all this information into a human-readable summary of economic conditions in the target region. Your CrewAI setup runs this entire process—from data discovery to final report—without any human intervention. It's a hands-off way to produce regular regional economic briefings. The whole operation is powered by the tools in this MCP.

Setup guide

Set up FRED GeoFRED — Regional Economic Data 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 FRED GeoFRED — Regional Economic Data tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent FRED GeoFRED — Regional Economic Data 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="FRED GeoFRED — Regional Economic Data Analyst",
        goal="Access and analyze FRED GeoFRED — Regional Economic Data data via MCP.",
        backstory="Expert analyst with direct FRED GeoFRED — Regional Economic Data access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent FRED GeoFRED — Regional Economic Data 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 FRED. 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 FRED GeoFRED — Regional Economic Data MCP in CrewAI

You can pass the server's Vinkius URL directly into the `mcps` parameter when defining your Agent. For more control, use the `MCPServerHTTP` class from `crewai.mcp` to filter which tools from this MCP server, like `get_regional_data`, are available to specific agents.

Yes. You can create a 'Data' agent that only has access to `get_regional_data` and a 'Mapping' agent that can only use `get_geo_shapes`. This role-based tool access is a key feature of CrewAI for building specialized, efficient teams.

A powerful setup is a three-agent crew: a Researcher to find data series with `get_series_group`, an Analyst to fetch the data with `get_regional_data`, and a Reporter to synthesize the findings. This divides the labor logically and plays to CrewAI's strengths.

Yes. You can configure your CrewAI process to run on a schedule. Your crew could, for example, execute every month to pull the latest unemployment figures for a set of counties and generate an updated report automatically.

When your CrewAI agents use this server, each tool call is a discrete, stateless transaction secured by your Vinkius token. The server processes individual requests for economic metrics and GeoJSON files and has zero visibility into your crew's shared memory, objectives, or the final report.

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