How to Use the HUD User (USPS Crosswalk) MCP in CrewAI

Q: Can I assign specific HUD User (USPS Crosswalk) tools to different agents in CrewAI?

Yes. When defining your agent in CrewAI, you can use the toolfilter parameter on the MCPServerHTTP object to expose only certain tools, like ziptocounty, to that specific agent.

Give your CrewAI teams the geographic tools to perform autonomous market research and regional analysis.

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Connect HUD User (USPS Crosswalk) MCP to CrewAI

Create your Vinkius account to connect HUD User (USPS Crosswalk) 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 HUD User (USPS Crosswalk) with CrewAI

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Assemble a Geographic Research Crew

Create a specialized crew for location intelligence. Your 'Scout Agent' can take a list of target ZIP codes and use `zip_to_tract` and `zip_to_county` to gather the foundational geographic boundaries from this MCP server. It then passes this structured data to an 'Analyst Agent' in the same crew. This second agent can dig deeper, using tools like `tract_to_zip` to find adjacent areas or `county_to_zip` to understand the broader region, all working from a shared objective.

Automate Real Estate Opportunity Scouting

Deploy a crew to monitor real estate data feeds. A 'Filter Agent' can grab a property's ZIP code and use the `zip_to_cbsa` tool to instantly check if it falls within a designated Core Based Statistical Area. If it's a match, the task is passed to a 'Reporting Agent.' This agent uses `zip_to_county` and `zip_to_cd` to pull jurisdictional and political context, assembling a complete dossier for human review. CrewAI manages the entire autonomous workflow.

Role-Based Tool Access with This MCP Server

CrewAI's architecture lets you assign specific tools to specific agents. With this MCP server, you can create a highly specialized 'Demographics Agent' that only has permission to use `zip_to_tract`. At the same time, a 'Political Analyst Agent' in the same crew could be restricted to just the `cd_to_zip` and `zip_to_cd` tools. This enforces a clean separation of concerns, making your multi-agent system more robust and secure.

Setup guide

Set up HUD User (USPS Crosswalk) 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 HUD User (USPS Crosswalk) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent HUD User (USPS Crosswalk) 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="HUD User (USPS Crosswalk) Analyst",
        goal="Access and analyze HUD User (USPS Crosswalk) data via MCP.",
        backstory="Expert analyst with direct HUD User (USPS Crosswalk) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent HUD User (USPS Crosswalk) 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 HUD User. 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 HUD User (USPS Crosswalk) MCP in CrewAI

Yes. When defining your agent in CrewAI, you can use the `tool_filter` parameter on the `MCPServerHTTP` object to expose only certain tools, like `zip_to_county`, to that specific agent.

You'd define two separate agents. For each, you'd configure the MCP connection with a `tool_filter` that specifies either `['zip_to_county']` or `['county_to_zip']`. Then you add both agents to your crew.

Yes, that's a primary use case. One agent can use the tools to gather geographic data (tracts, counties) and pass it as context to another agent that performs analysis, comparison, or summarization.

The simplest way is to pass the Vinkius MCP URL directly into the `mcps` list when creating your Agent. For more control, use the `MCPServerHTTP` class from `crewai.mcp` to configure transport and tool filtering.

The server itself stores nothing. It acts as a stateless proxy, processing inputs like ZIP codes or Census tract IDs only for the duration of the API call. Your data's privacy is maintained.

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