How do I get my Help Scout Access Token?

You can generate an OAuth2 Access Token by creating an application in the **Help Scout Developer Portal** (developer.helpscout.com). Alternatively, if you are using a personal script, you can use the Client Credentials flow to obtain a token.

Can I add internal notes to conversations?

Yes! Use the `create_convo_note` tool. You must provide the `conversation_id` and the text of your note. This allows you to collaborate with your team without the customer seeing the message.

How do I change the status of a support thread?

Use the `update_convo_status` tool. Provide the conversation ID and the new status (active, pending, or closed). This helps you keep your mailbox organized.

Is the integration secure for managing support data?

Absolutely. The integration uses industry-standard OAuth 2.0 Bearer tokens over HTTPS. Your credentials are encrypted and stored securely within the Vinkius Cloud infrastructure.

Help Scout MCP Server for Google ADK 12 tools — connect in under 2 minutes

Name: Help Scout
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Help Scout as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="help_scout_agent",
    instruction=(
        "You help users interact with Help Scout "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)

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* 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 Help Scout MCP Server

Connect your Help Scout help desk to any AI agent and take full control of your customer communication and support operations through natural conversation.

Google ADK natively supports Help Scout 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

Conversation Oversight — List all active support threads, retrieve full transcripts, and monitor response status.
Customer Management — Access detailed customer profiles and historical interactions to provide personalized service.
Team Collaboration — Add internal notes to conversations and update statuses (active, pending, closed) directly from the chat.
Operational Visibility — List all configured mailboxes, tags, and automated workflows to ensure your help desk is correctly set up.
Performance Insights — Retrieve customer satisfaction ratings to monitor the health of your support operations.
Search Capabilities — Perform advanced searches across your entire conversation history to find answers quickly.

The Help Scout 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.

How to Connect Help Scout to Google ADK via MCP

Follow these steps to integrate the Help Scout MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 12 tools from Help Scout via MCP

Why Use Google ADK with the Help Scout MCP Server

Google ADK provides unique advantages when paired with Help Scout 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 Help Scout

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 Help Scout tools with BigQuery, Vertex AI, and Cloud Functions

Help Scout + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Help Scout MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Help Scout and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Help Scout tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Help Scout regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Help Scout

Help Scout MCP Tools for Google ADK (12)

These 12 tools become available when you connect Help Scout to Google ADK via MCP:

create_convo_note

Use this for team collaboration. Add a private note to a conversation

get_conversation

Get detailed information about a specific conversation

get_customer

Get detailed profile information for a specific customer

list_conversations

Useful for monitoring incoming customer queries. List support conversations/tickets

list_customer_ratings

List recent customer satisfaction ratings

list_customers

List all customers registered in the help desk

list_mailboxes

List all configured support mailboxes

list_staff_users

List all support agents/users in the tenant

list_tags

List all available tags for categorizing conversations

list_workflows

List automated support workflows

search_conversations

Search for conversations using a query

update_convo_status

Change the status of a conversation (e.g., active, closed)

Example Prompts for Help Scout in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Help Scout immediately.

"List all active conversations in the 'Main' mailbox."

"Search for conversations from 'john.doe@example.com'."

"Add an internal note to conversation ID 12345: 'Confirmed with engineering, fix arriving tomorrow'."

Troubleshooting Help Scout MCP Server with Google ADK

Common issues when connecting Help Scout to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Help Scout + Google ADK FAQ

Common questions about integrating Help Scout MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.