How to Use the IP Address Parser MCP in AutoGen

Q: How does this MCP Server handle CIDR ranges in AutoGen?

The parseipaddress tool parses CIDR notation and returns the base address along with the subnet mask. Your AutoGen agents can use this data to determine if a specific IP falls within a banned range.

Give your AutoGen agents the ability to debate and validate network configurations using a precise IP parser.

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Setup IP Address Parser with AutoGen

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Multi-agent IP validation in AutoGen

Set up a security analyst agent and a network engineer agent in AutoGen to debate log configurations. The security agent can use `parse_ip_address` to verify if a suspicious IP lies within a private range, while the engineer agent validates the routing logic. This collaborative loop ensures high-accuracy network analysis. By having agents verify IP details through this MCP Server before committing firewall changes, you avoid accidental blocks caused by bad IP parsing.

Consensus-driven firewall auditing

Build AutoGen workflows where agents must agree on CIDR block classifications. One agent parses an IP block using `parse_ip_address`, and another agent cross-references the output against known internal subnets to flag potential security bypasses. Because the tool outputs structured, deterministic JSON, your agents can easily parse the results to reach a consensus. This eliminates the risk of a single agent misinterpreting a complex IPv6 address or a non-standard CIDR notation.

Automated incident response loops

Deploy autonomous AutoGen agents that monitor network alerts and classify traffic. When a high-severity alert triggers, an agent calls `parse_ip_address` to immediately identify if the source IP is an internal loopback or an external threat. The agent can then automatically initiate mitigation steps based on the parsed range. This hands-off approach speeds up incident response times while maintaining strict adherence to your network security policies.

Setup guide

Set up IP Address Parser 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 IP Address Parser 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="IP Address Parser_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent IP Address Parser 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="IP Address Parser_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent IP Address Parser data")
    print(result.messages[-1].content)

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Common questions about IP Address Parser MCP in AutoGen

Use the AutoGen MCP extension to load the tools from your Vinkius HTTP endpoint. Pass the parsed tool list to your AssistantAgent so it can call `parse_ip_address` during multi-agent conversations.

Yes, the server handles concurrent requests from multiple agents. Your security and network agents can call `parse_ip_address` at the same time to validate different parts of a complex firewall configuration.

The `parse_ip_address` tool parses CIDR notation and returns the base address along with the subnet mask. Your AutoGen agents can use this data to determine if a specific IP falls within a banned range.

The tool returns a structured error object indicating the validation failure. Your AutoGen conversation manager can catch this output, allowing the agents to discuss the error and request a corrected IP string.

Your IP addresses, CIDR blocks, and network configurations are processed in memory within secure, ephemeral V8 isolates. Vinkius ensures that no network payload data is logged or stored, protecting your internal infrastructure details from exposure.

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