How to Use the IPGeolocation (IP Intelligence & Time) MCP in AutoGen

Let your AutoGen agents debate and verify geographical and timezone data using this live IP intelligence MCP Server.

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Connect IPGeolocation (IP Intelligence & Time) MCP to AutoGen

Create your Vinkius account to connect IPGeolocation (IP Intelligence & Time) 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 IPGeolocation (IP Intelligence & Time) with AutoGen

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Resolve geographic conflicts during debate

`get_location` provides precise geographic coordinates and country data to your AutoGen agent cluster. When your security agent debates your compliance agent on user origin, this tool delivers the objective ground truth to resolve the dispute. The tool integrates via the MCP tool adapter to convert raw IP lookups into structured JSON. This allows your conversational agents to parse the physical location of a client without custom parsing scripts.

Coordinate multi-agent execution times

`get_timezone` supplies the exact local time and offset for any IP address under discussion. AutoGen agents use this temporal data to negotiate when to execute automated tasks, ensuring they do not run actions during a user's local quiet hours. One agent can query the timezone while a supervisor agent verifies the schedule. This consensus-driven approach prevents silent scheduling failures across different geographic zones.

Factor solar cycles into agent decisions

`get_astronomy` retrieves sunrise, sunset, and lunar phases for the physical location resolved from an IP. Your AutoGen agents can debate the impact of local daylight hours on operations, adjusting automated tasks accordingly. The tool output feeds directly into the conversation history. This allows all participating agents to see the solar data and weigh in on the best course of action.

Setup guide

Set up IPGeolocation (IP Intelligence & Time) 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 IPGeolocation (IP Intelligence & Time) 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="IPGeolocation (IP Intelligence & Time)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent IPGeolocation (IP Intelligence & Time) 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="IPGeolocation (IP Intelligence & Time)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent IPGeolocation (IP Intelligence & Time) 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 IPGeolocation. 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 IPGeolocation (IP Intelligence & Time) MCP in AutoGen

You use the autogen-ext package and pass the Vinkius transport URL to the streamable server parameters. The adapter handles the schema conversion, exposing the MCP tools to your AssistantAgent automatically.

Yes, the server handles parallel requests from different agents in your conversation. The supervisor agent can query the location while a worker agent fetches the timezone details at the same time.

It acts as an objective data source during agent negotiations. If a compliance agent flags an IP, it calls this MCP server to verify the country, forcing the other agents to adjust their decisions based on the returned data.

No, the adapter automatically translates the server's tool schemas into the format AutoGen expects. This saves you from writing custom JSON schemas for the location, timezone, and astronomy tools.

No, all IP lookups and coordinate outputs are processed inside a secure, zero-trust sandbox. Vinkius wipes the memory space immediately after the MCP Server runs, leaving no logs behind.

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