How to Use the Deskpro MCP in Google ADK

Q: Can my Google ADK agent modify Deskpro tickets?

It can. You use the updateticketproperties tool to modify fields like status or priority based on the logic you write in your agent.

Connect Deskpro to your Google ADK pipelines for enterprise support automation.

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Connect Deskpro MCP to Google ADK

Create your Vinkius account to connect Deskpro 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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Setup Deskpro with Google ADK

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Google ADK and Deskpro ticket synchronization

Your agent pulls active tickets using `list_helpdesk_tickets` to feed data into your BigQuery analysis pipelines. It tracks ticket status in real-time, letting you identify bottlenecks across departments. When a ticket update is required, the agent triggers `update_ticket_properties`. This keeps your Google Cloud environment aligned with your support desk operations.

Resolve user queries with Deskpro data

Your Gemini-powered agent uses `get_user_profile` to pull customer history before answering a request. It checks `list_user_organizations` to verify account permissions, ensuring only authorized people get answers. It matches the user's inquiry against your library using `list_kb_articles`. The agent delivers precise information based on your actual helpdesk content.

Verify helpdesk operations in Google ADK

The agent runs `check_api_health` to ensure the connection is live before processing high-volume tasks. It prevents failed operations by confirming the server is ready for input. It lists staff with `list_helpdesk_agents` to map ticket assignments to the correct team members. Your agent always knows exactly who is responsible for what.

Setup guide

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

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Common questions about Deskpro MCP in Google ADK

Absolutely. You can pipe ticket data from the MCP Server directly into your existing BigQuery tables. The agent handles the ingestion logic seamlessly.

You initialize the McpToolset with your endpoint URL and pass it into the LlmAgent constructor. It takes only a few lines of Python code.

It can. You use the `update_ticket_properties` tool to modify fields like status or priority based on the logic you write in your agent.

The server provides the data, and your agent decides how much to feed into the context window. You can easily pull large chunks of KB articles for analysis.

We use encrypted tunnels for all communication. Your ticket information and user details are never stored on our side; they pass through our secure proxy directly to your agent.

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