How to Use the CountryStateCity MCP in AutoGen
Let your AutoGen agents debate and verify global geographic data using real-time ISO and regional lookups.
Works with every AI agent you already use
…and any MCP-compatible client
Connect CountryStateCity MCP to AutoGen
Create your Vinkius account to connect CountryStateCity 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.
Multi-Agent Consensus on Geographic Mapping
The CountryStateCity MCP Server delivers real-time geographic lookups to your AutoGen agent debates. When dealing with complex regional logistics, one agent can fetch country details with `get_country` while another verifies the state boundaries using `list_states`. The agents discuss the results in their chat session to resolve any naming conflicts or regional ambiguities before finalizing a delivery route. This collaborative approach prevents routing errors. By letting AutoGen agents cross-reference data from `list_cities_by_state`, you ensure your system reaches a consensus based on real geographic facts.
Secure Regional Verification in AutoGen Workflows
This regional data MCP Server allows your AutoGen agents to verify geographic boundaries collaboratively. Assign a dedicated security agent to monitor the geographic inputs used by your execution agents. While your primary agent gathers lists of regions using `list_countries`, the validator agent checks the returned ISO codes to verify they match your business rules. This division of labor keeps your workflows safe. You don't have to trust a single agent's execution when multiple AutoGen agents can double-check the geographic metadata.
AutoGen Tool Adaptation for Geographic Lookups
This geographic MCP Server integrates with AutoGen's schema adapter to expose regional lookups to your agents. AutoGen's tool adapter automatically translates the schema of tools like `get_state` into a format your conversational agents understand. Your agents can naturally request state-level details during their dialogue, calling the tools without any manual schema mapping on your part. Setting up this MCP Server with AutoGen requires just a few lines of code. Your conversational agents gain instant access to global geographic data, making their debates far more accurate.
Set up CountryStateCity 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes CountryStateCity tools and returns structured results.
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="CountryStateCity_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent CountryStateCity data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="CountryStateCity_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent CountryStateCity data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CountryStateCity. 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 CountryStateCity MCP in AutoGen
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