How to Use the NS1 (IBM NS1 Premium DNS API) MCP in Google ADK

Q: How do I restrict tools in NS1 (IBM NS1 Premium DNS API) for my Google ADK agent?

Use the toolnames filter during initialization. This ensures your agent only accesses the specific record or zone tools you permit.

Q: How do I view existing jobs?

Call listmonitoringjobs to see all active checks. Your agent parses this output to decide if a new job is necessary.

Connect Google ADK to the NS1 (IBM NS1 Premium DNS API) MCP Server for enterprise-grade DNS orchestration.

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Setup NS1 (IBM NS1 Premium DNS API) with Google ADK

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Direct record control with Google ADK

You can programmatically manage your DNS records using `create_record` and `update_record`. Your agent reads the current state with `get_record` to avoid collisions. This removes the need for manual CSV imports or web console tweaks. Your agent maintains the source of truth directly from your infrastructure codebase.

Advanced monitoring for Google ADK agents

Your agent configures complex checks using `create_monitoring_job`. It lists available regions with `list_monitoring_regions` to ensure coverage across all your cloud points. This setup allows for proactive traffic management. Your agent reacts to regional latency spikes by adjusting DNS weights via the API.

Dynamic data feeds for Google ADK

Feed real-time application data into your DNS logic using `push_data_feed`. Your agent initializes these connections via `create_data_source`. This creates a direct link between your BigQuery insights and your global traffic steering. Your agent makes routing decisions based on live user data.

Setup guide

Set up NS1 (IBM NS1 Premium DNS API) 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 NS1 (IBM NS1 Premium DNS API) 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="NS1 (IBM NS1 Premium DNS API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to NS1 (IBM NS1 Premium DNS API) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about NS1 (IBM NS1 Premium DNS API) MCP in Google ADK

Use the tool_names filter during initialization. This ensures your agent only accesses the specific record or zone tools you permit.

Absolutely. The agent can ingest large zone files and reason over them to optimize your DNS configuration.

Yes. Your agent acts as the bridge, pulling logs from your cloud environment and pushing steering updates to the DNS provider.

Call `list_monitoring_jobs` to see all active checks. Your agent parses this output to decide if a new job is necessary.

It accesses your DNS zone files and monitoring job configurations. These are strictly managed within the isolated sandbox environment.

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