Zippopotam.us MCP Server for AutoGen 2 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Zippopotam.us as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="zippopotamus_agent",
tools=tools,
system_message=(
"You help users with Zippopotam.us. "
"2 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Zippopotam.us MCP Server
Equip your AI agent with global geographic intelligence via the Zippopotam.us MCP server. This integration provides instant access to location data for over 60 countries. Your agent can perform reverse lookups of postal codes to retrieve city names, state details, and precise latitude/longitude coordinates. It can also find all postal codes associated with a specific city and state. Whether you are validating addresses, calculating distances, or automating logistics, your agent acts as a dedicated geographic data specialist through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Zippopotam.us tools. Connect 2 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Postal Code Lookup — Retrieve city, state, and coordinates for any zip code in 60+ countries.
- City Reverse Lookup — Find all postal codes associated with a specific city and state.
- Geographic Data — Access precise latitude and longitude for localized mapping or services.
The Zippopotam.us MCP Server exposes 2 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Zippopotam.us to AutoGen via MCP
Follow these steps to integrate the Zippopotam.us MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 2 tools from Zippopotam.us automatically
Why Use AutoGen with the Zippopotam.us MCP Server
AutoGen provides unique advantages when paired with Zippopotam.us through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Zippopotam.us tools to solve complex tasks
Role-based architecture lets you assign Zippopotam.us tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Zippopotam.us tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Zippopotam.us tool responses in an isolated environment
Zippopotam.us + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Zippopotam.us MCP Server delivers measurable value.
Collaborative analysis: one agent queries Zippopotam.us while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Zippopotam.us, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Zippopotam.us data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Zippopotam.us responses in a sandboxed execution environment
Zippopotam.us MCP Tools for AutoGen (2)
These 2 tools become available when you connect Zippopotam.us to AutoGen via MCP:
lookup_nearby_city
Lookup zip codes for a city
lookup_postcode
Lookup location by postal code
Example Prompts for Zippopotam.us in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Zippopotam.us immediately.
"Find the city and state for zip code 90210 in the US."
"Lookup the postal code 'SW1A 1AA' in Great Britain."
"List all postal codes for 'Miami', Florida (FL)."
Troubleshooting Zippopotam.us MCP Server with AutoGen
Common issues when connecting Zippopotam.us to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Zippopotam.us + AutoGen FAQ
Common questions about integrating Zippopotam.us MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Zippopotam.us with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Zippopotam.us to AutoGen
Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.
