Treblle MCP Server for Google ADKGive Google ADK instant access to 1 tools to Ingest Api Data
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Treblle as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Treblle MCP Server for Google ADK is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="treblle_agent",
instruction=(
"You help users interact with Treblle "
"using 1 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Treblle MCP Server
Connect your Treblle account to your AI agent to streamline API monitoring and observability. This server allows you to send API traffic data directly to Treblle, helping you maintain high-quality documentation and security standards.
Google ADK natively supports Treblle as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- API Ingestion — Send full request and response payloads to your Treblle dashboard using the
ingest_api_datatool. - Observability — Monitor API performance and errors in real-time as your agent processes or simulates traffic.
- Automatic Masking — Ensure security with Treblle's built-in masking for sensitive fields like passwords and credit card numbers.
- Custom Metadata — Attach trace IDs, user IDs, or environment identifiers to your ingested data for better filtering.
The Treblle MCP Server exposes 1 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 1 Treblle tools available for Google ADK
When Google ADK connects to Treblle through Vinkius, your AI agent gets direct access to every tool listed below — spanning api-monitoring, observability, api-analytics, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Ingest api data on Treblle
Sensitive fields (passwords, CCs, SSNs) are automatically masked before transmission. Send API request/response data to Treblle
Connect Treblle to Google ADK via MCP
Follow these steps to wire Treblle into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Treblle MCP Server
Google ADK provides unique advantages when paired with Treblle through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Treblle
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Treblle tools with BigQuery, Vertex AI, and Cloud Functions
Treblle + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Treblle MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Treblle and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Treblle tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Treblle regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Treblle
Example Prompts for Treblle in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Treblle immediately.
"Ingest this API request and response data into Treblle: { "server": { ... }, "request": { ... }, "response": { ... } }"
"Send this API error payload to Treblle with metadata trace-id 'abc-123'."
"Log a successful GET request to /users into Treblle using the ingest_api_data tool."
Troubleshooting Treblle MCP Server with Google ADK
Common issues when connecting Treblle to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkTreblle + Google ADK FAQ
Common questions about integrating Treblle MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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