How to Use the ncScale MCP in Google ADK

Q: How do I integrate ncScale with the Google ADK?

You use the McpToolset class to wrap the server parameters. Once you pass this to your agent, the Google ADK handles the communication with the ncScale API.

Q: Does the Google ADK support ncScale tool filtering?

Yes. You can pass a toolnames filter to the McpToolset if you want to restrict which tools your agent can call. This is useful for limiting scope in enterprise environments.

Q: How does ncScale handle large log volumes in the Google ADK?

The server provides paginated access through listlogs. Your agent can iterate through these logs, utilizing the large context window of Gemini models to process the output.

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Setup ncScale with Google ADK

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Aggregated stack visibility

Connect your agents to the entire no-code ecosystem through the `list_integrations` tool. See exactly which services are active and how they report back to your monitoring environment. This setup lets your agent map out dependencies across your entire production stack. You get an immediate understanding of your system architecture.

Actionable monitoring with Google ADK

Use the `list_dashboards` tool to pull current observability metrics into your agent's context. Your agent can then reason over these trends to identify performance bottlenecks. Since this integrates with your existing Google ADK setup, your agent has the long-context capacity to handle large data payloads from logs. It turns raw information into clear troubleshooting steps.

Manage workspace users

Control access and audit activity by using the `list_users` tool. This allows your agent to verify who has access to sensitive monitoring data or who created specific nodes. It adds a layer of governance to your no-code operations. You can track changes and ensure accountability across your development team.

Setup guide

Set up ncScale 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 ncScale 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="ncScale_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ncScale tools via MCP.",
    tools=mcp_tools,
)

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Common questions about ncScale MCP in Google ADK

You use the `McpToolset` class to wrap the server parameters. Once you pass this to your agent, the Google ADK handles the communication with the ncScale API.

Yes. You can pass a `tool_names` filter to the `McpToolset` if you want to restrict which tools your agent can call. This is useful for limiting scope in enterprise environments.

The server provides paginated access through `list_logs`. Your agent can iterate through these logs, utilizing the large context window of Gemini models to process the output.

All traffic is encrypted and managed through the Vinkius platform. You only need to provide an endpoint token, and the MCP protocol handles the rest.

The server handles your diagnostic logs and node metadata. All information is processed within your secure workspace, ensuring no unauthorized access to your stack telemetry.

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