How to Use the HappyFox MCP in Google ADK

Q: Can I search HappyFox data with Google ADK?

Certainly. The searchtickets tool allows your agent to query the help desk by text, which is perfect for finding related historical issues.

Q: Is HappyFox compatible with long-context Gemini models?

It is. You can feed ticket data from getticket into the 1M+ token context window to perform large-scale analysis on your support logs.

Q: How do I restrict tool access?

Use the toolnames filter in your McpToolset configuration. This lets you decide which specific operations your agent can perform.

Q: How is my contact information handled?

The server fetches only the records you request via listcontacts. It does not cache or persist your customer database on the Vinkius platform.

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Connect HappyFox MCP to Google ADK

Create your Vinkius account to connect HappyFox 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 HappyFox with Google ADK

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Direct ticket management

Deploy `create_ticket` to generate support records from your Gemini-powered agents. It works natively within your Google Cloud architecture to keep your support desk in sync. Use `list_categories` to ensure every ticket lands in the right queue. Your agents pull these categories dynamically to classify incoming requests before they hit your team.

Enterprise data accessibility

Pull contact information with `list_contacts` to enrich your agent's reasoning. It gives your models the full picture of who they are supporting. Your agent queries `list_staff` to determine ownership. This ensures that when a ticket requires a human, the agent knows exactly who to assign it to based on real-time desk availability.

Real-time status monitoring

Monitor the help desk using `list_statuses` and `list_priorities`. These tools provide the raw data your agent needs to prioritize its next move. Tracking progress is simple. With `get_ticket`, your agent pulls specific details to confirm resolution before moving on to the next task in your pipeline.

Setup guide

Set up HappyFox 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 HappyFox 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="HappyFox_agent",
    model="gemini-2.0-flash",
    instruction="You have access to HappyFox 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 HappyFox. 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.

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Common questions about HappyFox MCP in Google ADK

The ADK treats this MCP server as a native toolset. You pass it to your agent and it begins calling tools like `list_tickets` immediately.

Certainly. The `search_tickets` tool allows your agent to query the help desk by text, which is perfect for finding related historical issues.

It is. You can feed ticket data from `get_ticket` into the 1M+ token context window to perform large-scale analysis on your support logs.

Use the tool_names filter in your McpToolset configuration. This lets you decide which specific operations your agent can perform.

The server fetches only the records you request via `list_contacts`. It does not cache or persist your customer database on the Vinkius platform.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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