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How to Use the Treblle MCP in Google ADK

Deep API Observability for Google ADK Agents

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Google ADK

Connect Treblle MCP to Google ADK

Create your Vinkius account to connect Treblle 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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Monitor API Traffic with Treblle MCP Server

Use the `ingest_api_data` tool to monitor, document, and analyze your entire API traffic stream. It takes both request and response data directly into Treblle for instant observability. This capability means you can track every interaction your enterprise agents have with external services, building a complete audit trail.

Secure Data Ingestion into Google ADK

Treblle handles data masking before anything gets logged. When running `ingest_api_data`, the server automatically masks sensitive fields like passwords, CCs, and SSNs. This is non-negotiable when building enterprise agents that handle PII. You get visibility without the security headache.

Real-Time API Documenting for Google ADK

The `ingest_api_data` tool ingests request and response data in real time, providing immediate insight into your system's performance. You document the entire lifecycle of an API call. Because you see this traffic instantly, you can debug complex reasoning chains that span across multiple Google Cloud services.

Setup guide

Set up Treblle 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Treblle 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="Treblle_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Treblle tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Treblle. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Treblle MCP in Google ADK

Treblle automatically masks sensitive fields like passwords, credit card numbers (CCs), and SSNs when using the `ingest_api_data` tool. This ensures that your API logs remain compliant.
You get real-time visibility into all API interactions, including both requests and responses. It documents the full flow of data as your agents operate.
Yes. The `ingest_api_data` tool masks Social Security Numbers (SSNs) automatically, so you can analyze data without compromising privacy.
It does. The server ingests and analyzes live traffic streams in real-time. This is ideal for observing continuously running agent processes.
It handles passwords, credit card numbers (CCs), and Social Security Numbers (SSNs). The server masks these fields upon ingestion.

Start using the Treblle MCP today

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