How to Use the IPinfo MCP in AutoGen
Let your AutoGen agents debate and verify IP security risks using real-time network telemetry.
Works with every AI agent you already use
…and any MCP-compatible client
Connect IPinfo MCP to AutoGen
Create your Vinkius account to connect IPinfo 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.
Resolve network ownership in agent debates
`get_asn_details` retrieves the Autonomous System Number details to settle debates between your security and infrastructure agents via the MCP adapter. One agent uses the ASN data to flag hosting providers, while the other evaluates the operational impact. By calling `get_ip_details`, the agents verify the geographic origin of incoming traffic before agreeing on a response. This collaborative analysis prevents false positives by forcing agents to cross-reference multiple data points.
Detect proxies through multi-agent consensus
`get_privacy_details` exposes VPN, proxy, and Tor exit node configurations to your AutoGen conversation thread. A specialized auditing agent analyzes these privacy flags and presents its findings to the group. The coordinator agent then decides whether to block the connection or run further checks based on the collective consensus. This structure ensures your system never relies on a single unverified decision to block a user.
Analyze network ranges with this MCP Server
`get_ip_range` provides the entire CIDR block context during multi-agent security audits. The network agent analyzes the range boundaries, while the policy agent checks if the block conflicts with your allowlist. If historical patterns are needed, the agents query `get_ip_historical` to evaluate past ownership within your AutoGen MCP workflows. This collaborative lookup ensures your AutoGen group makes decisions based on deep, verified network context.
Set up IPinfo 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 IPinfo 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="IPinfo_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent IPinfo 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="IPinfo_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent IPinfo 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 IPinfo. 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 IPinfo MCP in AutoGen
Use it with your favorite AI tools
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