How to Use the Help Scout MCP in Google ADK

Q: How do I configure Google ADK to discover the Help Scout MCP Server?

Use the McpToolset class from the SDK and point it at your Vinkius HTTP transport URL. Pass this toolset directly to your LlmAgent to expose all twelve support tools via MCP to Gemini.

Q: Can Google ADK agents search through old Help Scout tickets?

Yes, the agent uses searchconversations to query your entire ticket history. Gemini can analyze these past interactions to draft accurate replies or find old workarounds.

Q: How does the Help Scout integration handle multi-mailbox setups?

The agent runs listmailboxes to identify all configured support channels over the MCP connection. It can then filter its searches or list conversations specifically for one mailbox to keep brands separated.

Feed Help Scout conversation data into Google ADK agents to resolve tickets using Gemini's million-token context.

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Connect Help Scout MCP to Google ADK

Create your Vinkius account to connect Help Scout 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 Help Scout with Google ADK

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Deep Gemini Context via Google ADK

`get_conversation` fetches the entire history of a ticket so your Google ADK agent can analyze it using Gemini's long-context window. The agent processes years of back-and-forth messages in a single pass to find the root cause of an issue. By combining this MCP Server with Vertex AI, the agent checks `list_customer_ratings` to gauge customer satisfaction over time. It then writes a detailed summary using `create_convo_note` to brief your human support staff.

Enterprise Customer Directory Sync

`list_customers` pulls your active Help Scout user directory directly into the Google ADK environment. Your agent cross-references this data with enterprise datasets in BigQuery to verify subscription tiers and account health. When a customer files a ticket, the agent uses `get_customer` to pull their profile. This lets the agent make decisions based on real-time database records before updating ticket priorities.

Automated Queue Triage and Tagging

`list_conversations` monitors your incoming support mailboxes in real-time. The Google ADK agent scans the subject lines and bodies, matches them against current issues, and applies tags using `list_tags`. If a conversation matches a known bug, the agent uses `update_convo_status` to route it to the engineering queue. This keeps your main mailbox clean and ensures critical issues reach the right team instantly.

Setup guide

Set up Help Scout 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 Help Scout 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="Help Scout_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Help Scout 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 Help Scout. 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 Help Scout MCP in Google ADK

Use the `McpToolset` class from the SDK and point it at your Vinkius HTTP transport URL. Pass this toolset directly to your `LlmAgent` to expose all twelve support tools via MCP to Gemini.

Yes, the agent uses `search_conversations` to query your entire ticket history. Gemini can analyze these past interactions to draft accurate replies or find old workarounds.

Yes, you can pass a filtered list of tool names to the toolset constructor. Exclude write operations like `update_convo_status` or `create_convo_note` to create a read-only agent.

The agent runs `list_mailboxes` to identify all configured support channels over the MCP connection. It can then filter its searches or list conversations specifically for one mailbox to keep brands separated.

We enforce strict transport encryption for all Help Scout traffic. Your customer profiles and conversation histories are processed in memory within secure sandbox environments and are never saved on Vinkius servers.

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