How to Use the GorillaDesk MCP in Google ADK

Connect GorillaDesk to your Google ADK agents for high-context field service management.

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Connect GorillaDesk MCP to Google ADK

Create your Vinkius account to connect GorillaDesk 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 GorillaDesk with Google ADK

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Sync jobs with Google ADK

Your agent reads your entire job pipeline using `list_jobs`. It processes the data to find scheduling conflicts before they happen. It works perfectly with your existing Google Cloud infrastructure. The agent triggers `get_job` to pull specific work order requirements as needed.

Process billing data in Google ADK

Your agent scans your invoices by calling `list_invoices`. It extracts payment status or balance due info to report back to your team. It automates the tedious parts of account management. You define the logic, and the agent uses the tool to grab the exact invoice numbers.

Update client details via Google ADK

Keep your data consistent across all platforms. Your agent uses `get_customer` to verify identity and `update_customer` to push new addresses or phone numbers. It removes the need for manual data entry. The agent handles the back-and-forth with the API so your records stay current.

Setup guide

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

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

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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 GorillaDesk MCP in Google ADK

Yes, it connects as a standard toolset. You initialize the server parameters, and your agent gains full access to the 12 available tools.

You can restrict which tools the agent sees. Use the tool name filter to limit access to only what your specific agent needs.

The agent uses natural language to call the tools. It translates your intent into the correct function call like `list_customers`.

You can pipe retrieved data into your cloud environment. The agent retrieves the info, and you handle the storage in your own infrastructure.

The server operates in an ephemeral sandbox. Your customer names and job sites never persist in the agent's memory longer than the task requires.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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