How to Use the REST Countries MCP in AutoGen

Run multi-agent debates in AutoGen to reach consensus on complex global research tasks.

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Connect REST Countries MCP to AutoGen

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Setup REST Countries with AutoGen

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Debate geography data in AutoGen

Assign one agent to fetch data with `get_countries_by_region` while another validates the findings. They negotiate the final answer based on the retrieved records. This ensures your output isn't just a single API call response. You get a deliberated conclusion that accounts for multiple perspectives on the data.

Multi-agent research in AutoGen

Deploy specialized agents for different geography domains. One agent focuses on currency data from `get_countries_by_currency`, while another tracks language distribution. They share these findings to build a complete report. This collaborative approach prevents errors that happen when a single agent tries to do too much at once.

Conflict resolution with AutoGen

Use AutoGen to reconcile conflicting data points. If `get_country_by_code` returns a result that contradicts a user's initial assumption, the agents discuss the discrepancy. This process adds a layer of logic that raw API calls lack. You get an answer that has been scrutinized by agents designed to challenge and verify information.

Setup guide

Set up REST Countries 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 REST Countries 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="REST Countries_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="REST Countries_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent REST Countries 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 REST Countries. 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 REST Countries MCP in AutoGen

Initialize the MCP tools and register them with your AssistantAgents. Each agent in your AutoGen group can then call the tools as needed to support their arguments.

Yes. Agents can use the tools to pull evidence for their claims, allowing them to verify facts during their debate process.

The tools provide the raw data that fuels the negotiation. AutoGen agents use this data to debate the accuracy and relevance of the information they find.

Every tool call is logged as part of the agent conversation history. You can review the exact arguments passed to the server to verify the agent's research path.

The server does not store user conversations or agent state. Only the specific, transient data requested by an agent is transmitted, ensuring minimal data footprint.

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