How to Use the Treblle MCP in Google ADK
Deep API Observability for Google ADK Agents
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Treblle MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Treblle tools in your ADK agent.
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
Use it with your favorite AI tools
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