How to Use the Intercom MCP in Google ADK

Q: How do I configure the Intercom MCP Server in Google ADK?

Install the package using pip install google-adk and set up the McpToolset with your Vinkius HTTP endpoint. Pass this toolset into your LlmAgent initialization to expose the support tools to Gemini.

Q: Can the agent search for specific customer segments?

Yes. Your agent can execute complex queries using searchcontacts to filter users by email, sign-up date, or custom attributes, making targeted follow-ups straightforward.

Connect Gemini models to Intercom using Google ADK and an MCP Server to analyze support tickets alongside your BigQuery data.

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Connect Intercom MCP to Google ADK

Create your Vinkius account to connect Intercom 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 Intercom with Google ADK

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Analyze support queues with Google ADK

Use `get_conversation` with Google ADK to feed entire threads directly into your Gemini models. Long context windows make scanning chat histories incredibly efficient. Your agent can parse weeks of back-and-forth messages in a single turn. Identifying recurring issues is easy when you scan across `list_conversations`. The model flags critical bugs before they escalate to your engineering team.

Enrich customer records with Google ADK

The agent uses `search_contacts` to find users in your support system and matches them with records stored in BigQuery. This allows you to combine your cloud database with real-time support data. Once matched, the agent updates contact details with `get_contact`. Applying labels with `list_tags` keeps everything organized. This gives your account managers a complete view of customer health without manual data entry.

Automate internal triage for your support team

Let your agent handle the initial routing by calling `list_admins` and `list_companies` to find who owns a high-value customer. The agent determines which account manager owns the account and alerts them immediately. Drafting initial responses is handled using `reply_to_conversation` based on internal documentation found via `list_articles`. This keeps your team focused on complex engineering issues instead of sorting tickets.

Setup guide

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

Install the package using `pip install google-adk` and set up the `McpToolset` with your Vinkius HTTP endpoint. Pass this toolset into your `LlmAgent` initialization to expose the support tools to Gemini.

Yes. You can pass a filtered list of tool names to the toolset parameter. This lets you restrict your agent to read-only actions like `get_conversation` while blocking write actions like `reply_to_conversation`.

No, this setup pulls data on demand. The agent calls tools like `list_conversations` or `get_contact` when prompted by your workflow, rather than listening to live webhooks.

Yes. Your agent can execute complex queries using `search_contacts` to filter users by email, sign-up date, or custom attributes, making targeted follow-ups straightforward.

All customer contacts, support messages, and conversation histories are processed in a zero-trust, ephemeral sandbox. No data is stored on Vinkius servers, and your API keys are protected by secure token management.

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