How to Use the IPGeolocation.io MCP in AutoGen
Let your AutoGen agents debate and verify IPGeolocation.io security risks before authorizing critical system actions.
Works with every AI agent you already use
…and any MCP-compatible client
Connect IPGeolocation.io MCP to AutoGen
Create your Vinkius account to connect IPGeolocation.io 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.
Debate threat metrics with AutoGen agents
Build a multi-agent system where a security agent uses `get_security` to evaluate an IP address while a gateway agent argues for low-friction access. The security agent presents proxy and VPN flags to the group to reach a consensus. This collaborative approach prevents single-point-of-failure decisions. By exposing this MCP Server to the conversation, your agents use real-world threat vectors to negotiate whether to block, flag, or allow a connection.
Resolve regional and timezone conflicts
When coordinating global actions, your scheduling agent can call `convert_timezone` to verify localized execution windows. A separate compliance agent checks `get_ipgeo` to ensure the target IP resides within allowed geographic boundaries. The agents negotiate the optimal time and location before executing any payload. This ensures your automated workflows respect local regulatory hours and geographic restrictions without manual intervention.
Audit network infrastructure and abuse data
Let your incident response agents divide and conquer. One agent calls `get_asn` to identify the hosting provider, while another pulls contact details via `get_abuse` to prepare an outreach draft. They combine their findings in the chat log, reviewing the ISP details and abuse emails to ensure accuracy. Once both agents agree on the network profile, they hand off the finalized report to your human operators.
Set up IPGeolocation.io 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 IPGeolocation.io 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="IPGeolocation.io_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent IPGeolocation.io 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="IPGeolocation.io_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent IPGeolocation.io 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 IPGeolocation.io. 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.io MCP in AutoGen
Use it with your favorite AI tools
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