How to Use the Zippopotam.us MCP in AutoGen

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Connect Zippopotam.us MCP to AutoGen

Create your Vinkius account to connect Zippopotam.us 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 Zippopotam.us with AutoGen

Ask AI about this MCP

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Claude

Perplexity

Debating zip code ambiguity.

You need to know the correct postal code, but different inputs give conflicting results. You set up a debate: one agent calls `lookup_nearby_city` while another challenges the assumption. They discuss which zips are most likely candidates. The final consensus from the multi-agent system is the refined, agreed-upon list of potential zip codes, solving ambiguity through deliberation.

Validating location details.

A performance agent calls `lookup_postcode` to get coordinates for a given zip code. A security agent then verifies that these coordinates fall within known boundaries or match expected formats. They challenge each other's outputs until the data is confirmed accurate. The result isn't just data; it's a vetted conclusion based on competing perspectives.

Multi-step geo-data refinement.

The process requires multiple steps: first, identify potential cities with `lookup_nearby_city`. Second, challenge that list by having an agent verify each city's status. Third, finally, use the approved results to find the definitive zip code. The system forces deliberation at every stage, guaranteeing a higher quality decision than a simple linear execution.

Setup guide

Set up Zippopotam.us 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 Zippopotam.us 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="Zippopotam.us_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Zippopotam.us 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="Zippopotam.us_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Zippopotam.us data")
    print(result.messages[-1].content)

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 Zippopotam.us. 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 Zippopotam.us MCP in AutoGen

AutoGen agents use the MCP Server's tools to debate outcomes. For example, if one agent suggests a zip code and another finds conflicting data using `lookup_nearby_city`, they negotiate until a single, agreed-upon conclusion is reached.

Yes. You can build scenarios where agents must decide whether to use `lookup_postcode` or `lookup_nearby_city` based on the conversational context, mimicking real-world decision processes.

The server provides structured geographical identifiers: zip codes, city names, state information, and coordinates. These distinct pieces of location intelligence fuel the agents' debate.

Absolutely. You can assign different roles to agents—one as the 'Data Retrieval Agent' calling `lookup_postcode`, and another as the 'Validation Agent' checking the results.

This MCP Server touches geographical identifiers, specifically city names and postal codes. The system uses an endpoint token to manage access, ensuring the integrity of this location data.

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