Trengo MCP Server for Google ADKGive Google ADK instant access to 12 tools to Create Ticket, Create Webhook, Get Account Profile, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Trengo as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Trengo app connector for Google ADK is a standout in the Communication Messaging category — giving your AI agent 12 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="trengo_agent",
instruction=(
"You help users interact with Trengo "
"using 12 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 Trengo MCP Server
Connect your Trengo omnichannel inbox to any AI agent and simplify how you manage customer conversations, team collaboration, and support tickets through natural conversation.
Google ADK natively supports Trengo as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 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
- Unified Inbox Management — List all tickets and conversations across WhatsApp, Email, and Chat in one place.
- Ticket Control — Create new support tickets, update statuses (OPEN, CLOSED, ASSIGNED), and manage assignments via AI.
- Omichannel Messaging — Send messages to customers or add internal team notes to any conversation.
- Contact & Channel Directory — List your customer database and verify all configured communication channels.
- Team Coordination — Query team member lists to understand availability and workload.
- Event Monitoring — List and create webhooks to track conversation events in real-time.
The Trengo MCP Server exposes 12 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Trengo tools available for Google ADK
When Google ADK connects to Trengo through Vinkius, your AI agent gets direct access to every tool listed below — spanning omnichannel-inbox, helpdesk-ticketing, shared-inbox, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new ticket
Create a new webhook
Get current user profile
Get ticket details
). List communication channels
List all contacts
List ticket messages
List team users
List all support tickets
List configured webhooks
Send a message
Update ticket status
Connect Trengo to Google ADK via MCP
Follow these steps to wire Trengo into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the 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 Trengo MCP Server
Google ADK provides unique advantages when paired with Trengo 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 Trengo
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 Trengo tools with BigQuery, Vertex AI, and Cloud Functions
Trengo + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Trengo MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Trengo and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Trengo tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Trengo regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Trengo
Example Prompts for Trengo in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Trengo immediately.
"List all currently open support tickets."
"Show me the last 3 messages for ticket #88231."
"Close ticket #10293 as 'CLOSED' and add a note 'Resolved via AI'."
Troubleshooting Trengo MCP Server with Google ADK
Common issues when connecting Trengo to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkTrengo + Google ADK FAQ
Common questions about integrating Trengo MCP Server with Google ADK.