How to Use the Georef Argentina MCP in AutoGen

Debate and refine spatial data using AutoGen agents and the Georef Argentina MCP Server.

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Connect Georef Argentina MCP to AutoGen

Create your Vinkius account to connect Georef Argentina 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 Georef Argentina with AutoGen

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Claude

Perplexity

Debate geography in AutoGen

Let your agents negotiate using results from `get_provincias` or `get_municipios`. One agent can propose a route while another verifies the boundary data. This consensus model catches errors before they hit your logistics backend. You ensure every location decision passes internal scrutiny.

Normalize addresses through AutoGen agents

Delegate `normalize_direccion` tasks to specialized agents. Your system can have a data-entry agent negotiate the final format of an address with a validation agent. This collaboration produces high-quality data. You eliminate ambiguity by forcing agents to agree on the normalized output.

Negotiate coordinates with AutoGen

Use `reverse_geocoding` to provide agents with the facts needed for deliberation. They resolve conflicts by checking coordinates against official government records. Your multi-agent system moves faster with verified spatial data. Agents stop guessing and start using the official API output as their source of truth.

Setup guide

Set up Georef Argentina 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 Georef Argentina 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="Georef Argentina_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Georef Argentina 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="Georef Argentina_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Georef Argentina 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 Georef Argentina. 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 Georef Argentina MCP in AutoGen

Agents share access to the same tool set. During a conversation, they call the tools as needed to provide evidence for their arguments.

Agents can challenge the output of a tool call if it conflicts with other data. They then perform follow-up queries to resolve the discrepancy.

It provides a shared interface for all agents. Your architecture allows any agent in the group to request geographic information at any time.

You implement a supervisor agent to handle tool failures. It can retry the request or prompt the user for clarification if the API returns an error.

The connection is strictly point-to-point. Your geographic data never hits a central database, ensuring that only your agents have access to the information.

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