How to Use the Intercom MCP in Google ADK

Q: Can I limit which Intercom tools are exposed to my Google ADK agent?

Yes, you can use the optional toolnames filter in the toolset configuration. This prevents the agent from calling write operations like createconversation while keeping read tools active.

Q: Can the agent update custom user fields in my workspace?

Yes, the agent uses listdataattributes to find valid custom fields. It then updates those specific attributes on the user's profile to keep your CRM in sync.

Q: Where does my contact data go when running this MCP integration?

All contact details fetched via listcontacts remain in memory within your secure Google Cloud VPC. Vinkius processes these requests through ephemeral V8 sandboxes running the MCP Server to ensure zero persistent storage.

Analyze million-token support histories using Google ADK and Gemini to automate complex enterprise customer workflows.

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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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Long-context conversation analysis with Google ADK

The `get_conversation_details` tool pulls complete history threads directly into Gemini's massive context window using our MCP Server. This lets your enterprise agent analyze years of customer interactions in a single turn. Instead of reading fragmented snippets, the agent processes the entire support history to find recurring product friction. It cross-references this with `list_help_articles` to verify if the documentation matches the user's issue.

Enterprise segment syncing

The `list_segments` tool exposes your user groups directly to Google's agent framework via this MCP integration. You can feed this segment data into BigQuery to run predictive churn models on your customer base. The agent uses `search_contacts` to find specific users matching high-risk profiles. Once identified, it updates their records or flags them for immediate outreach by account team members.

Automated ticket resolution

The `reply_to_conversation` tool allows your Gemini-powered agent to resolve open tickets autonomously. The agent reads incoming messages, checks internal databases, and drafts precise technical solutions. Before sending, the agent runs `list_data_attributes` to check if the customer has custom SLAs. This ensures the response timing and tone match their specific enterprise contract terms.

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

Instantiate McpToolset with your Vinkius HTTP endpoint URL. Pass this toolset directly into your LlmAgent tools array to expose all twelve customer management capabilities.

Yes, you can use the optional tool_names filter in the toolset configuration. This prevents the agent from calling write operations like create_conversation while keeping read tools active.

Gemini's million-token context window easily handles large outputs from get_conversation_details. The agent reads the entire historical thread to understand complex issues without losing context.

Yes, the agent uses list_data_attributes to find valid custom fields. It then updates those specific attributes on the user's profile to keep your CRM in sync.

All contact details fetched via list_contacts remain in memory within your secure Google Cloud VPC. Vinkius processes these requests through ephemeral V8 sandboxes running the MCP Server to ensure zero persistent storage.

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