How to Use the Nmap Online MCP in Google ADK

Q: Can I store Nmap Online scan results in BigQuery using Google ADK?

Yes, your agent can run nmapscan or dnslookup and write the structured JSON output directly into a BigQuery table for long-term storage.

Run Nmap Online MCP Server network scans and infrastructure audits directly from your Google ADK agents.

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Connect Nmap Online MCP to Google ADK

Create your Vinkius account to connect Nmap Online to Google ADK 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 Nmap Online with Google ADK

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Analyze massive network footprints with Google ADK

The `list_subdomains` tool gathers thousands of hostnames and feeds them directly into Gemini's massive context window. This lets your agent analyze huge domain structures without running out of memory. Your agent can then cross-reference these subdomains with your BigQuery datasets. This helps security teams identify rogue assets that have bypassed standard corporate tracking.

Track routing issues using Gemini reasoning

The `traceroute` tool maps the path packets take to reach their destination. When a network route changes, this MCP tool detects the shift and flags potential hijacking attempts. By combining this with `geoip_lookup`, your Google ADK agent plots the physical locations of every hop. This gives your security operations center instant geographic context on routing anomalies.

Deep port scanning and header inspection

The `nmap_scan` tool performs raw port checks on target systems to find open services. It acts as the first line of defense in automated network auditing. This MCP Server integration allows Gemini to pinpoint outdated server software in seconds. After identifying open web ports, the agent runs `get_http_headers` to inspect server configurations.

Setup guide

Set up Nmap Online MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Nmap Online tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Nmap Online_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Nmap Online tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Nmap Online MCP in Google ADK

Install google-adk and initialize the McpToolset with your Vinkius HTTP URL. Pass that toolset into your LlmAgent to expose the network tools.

Yes, your agent can run `nmap_scan` or `dns_lookup` and write the structured JSON output directly into a BigQuery table for long-term storage.

Yes, you can use the tool names filter in McpToolset to restrict access. For example, you can expose `ping_host` while blocking `nmap_scan`.

Gemini's huge context window easily digests long outputs from `traceroute` and `whois_lookup`. It finds patterns in network hops that smaller models miss.

All scanned domains and IP addresses are processed in Vinkius's zero-trust sandbox. Your network data is never used to train Google's Gemini models.

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