How to Use the U.S. Census Income — Median Income, Poverty & Economy MCP in CrewAI
Autonomous Economic Research for CrewAI: Coordinate U.S. Census Income analysis across specialized agents.
Works with every AI agent you already use
…and any MCP-compatible client
Connect U.S. Census Income — Median Income, Poverty & Economy MCP to CrewAI
Create your Vinkius account to connect U.S. Census Income — Median Income, Poverty & Economy 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.
Coordinate deep economic research using the MCP Server.
The `get_business_patterns` tool gathers detailed data on establishments, employees, and payroll by county. CrewAI assigns a 'Researcher' agent to run this tool, while an 'Analyst' agent reviews the concentration metrics. This role-based specialization means one agent focuses solely on gathering raw economic facts, and another takes that output for immediate analysis without human intervention.
Track state development with CrewAI.
Use `get_education_by_state` to pull educational attainment metrics across all states. A 'Policy Agent' can use this data to build a comparative report, while a 'Moderator Agent' watches for any gaps in the dataset. The system executes sequentially: first gathering education levels, then having specialized agents compare those findings against other economic indicators.
Compare income disparities using CrewAI.
The `get_income_by_county` tool provides median household income and poverty rates for specific counties. A 'Research Agent' gets the data, and an 'Action Agent' can then use that finding to recommend site selection alternatives. This collaborative approach means you don't just get a list; you get analysis based on the raw census metrics.
Set up U.S. Census Income — Median Income, Poverty & Economy MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke U.S. Census Income — Median Income, Poverty & Economy tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="U.S. Census Income — Median Income, Poverty & Economy Analyst",
goal="Access and analyze U.S. Census Income — Median Income, Poverty & Economy data via MCP.",
backstory="Expert analyst with direct U.S. Census Income — Median Income, Poverty & Economy access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent U.S. Census Income — Median Income, Poverty & Economy transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="U.S. Census Income — Median Income, Poverty & Economy Analyst",
goal="Access and analyze U.S. Census Income — Median Income, Poverty & Economy data via MCP.",
backstory="Expert analyst with direct U.S. Census Income — Median Income, Poverty & Economy access.",
tools=mcp_tools,
)
task = Task(
description="List recent U.S. Census Income — Median Income, Poverty & Economy transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by U.S. Census Bureau. 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 U.S. Census Income — Median Income, Poverty & Economy MCP in CrewAI
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