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

Q: How do I give my AutoGen agents access to the HUD User (USPS Crosswalk) tools?

Use the mcpservertools function with your Vinkius server URL. This returns a list of tools that you pass to your AssistantAgent or UserProxyAgent during initialization. The McpToolAdapter handles all the background work.

Let your AutoGen agents debate and validate geographic data with HUD User (USPS Crosswalk) tools.

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Connect HUD User (USPS Crosswalk) MCP to AutoGen

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

Ask AI about this MCP

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Claude

Perplexity

Agent-driven Data Validation

Set up a team of agents to analyze housing data. One agent, the 'Planner', can use `zip_to_tract` to propose a list of Census Tracts for a new project. A second agent, the 'Auditor', can immediately use `tract_to_zip` to check for inconsistencies or overlapping ZIP codes. This isn't a simple script; it's a conversation. The Auditor can challenge the Planner's initial list, forcing a more accurate result. AutoGen makes it possible for agents to cross-check each other's work using these tools.

Debate Geographic Boundaries

Some ZIP codes cross county lines. This is a classic problem in grant allocation. With AutoGen, you can have one agent argue for a county based on the `RES_RATIO` from a `zip_to_county` call, while another agent flags it as a split ZIP that needs manual review. This kind of debate leads to better decisions. Instead of just getting a single API response, you get a discussion about its implications, with different agents representing different priorities, like speed versus accuracy.

Build Consensus with this MCP Server

Your agents can collaborate to build a complete geographic profile. An agent might start with `zip_to_cd` to find a congressional district, then another agent can take over and use `zip_to_cbsa` to find the statistical area for the same ZIP. Through conversation, they assemble a full picture. The final output isn't just one agent's work, but a consensus reached after multiple agents used the MCP server's tools to contribute their piece of the puzzle.

Setup guide

Set up HUD User (USPS Crosswalk) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes HUD User (USPS Crosswalk) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="HUD User (USPS Crosswalk)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent HUD User (USPS Crosswalk) data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="HUD User (USPS Crosswalk)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent HUD User (USPS Crosswalk) data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about HUD User (USPS Crosswalk) MCP in AutoGen

Use the `mcp_server_tools` function with your Vinkius server URL. This returns a list of tools that you pass to your `AssistantAgent` or `UserProxyAgent` during initialization. The `McpToolAdapter` handles all the background work.

Yes, that's the core of AutoGen. You'll see the full conversation log, including which agent decided to call `cd_to_zip`, the arguments it passed, and how the other agents reacted to the results. It's a fully transparent process.

Yes. Each tool call is an independent, secure transaction through the Vinkius sandbox. The server doesn't retain any data between calls and only handles non-sensitive geographic identifiers. Your agent conversations happen locally, while the tool calls are securely executed.

It's based on the conversation and the agent's instructions. If you ask the agent group to 'find all census tracts for this list of ZIPs', the agent with the `zip_to_tract` tool will recognize it can help and propose using it.

Yes. You can create specialized agents. For instance, give one agent only the `zip_to_` tools, and another agent only the `_to_zip` tools. This lets you design conversations where agents have specific roles and capabilities.

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