How to Use the Heap MCP in Google ADK

Q: How does the Google ADK integrate with the Heap MCP server?

You instantiate an McpToolset with your unique Vinkius server URL. Then, you pass that toolset to your LlmAgent during setup. The agent will have immediate access to all the Heap tools.

Q: Can a Gemini agent using Google ADK query Heap segments?

Yes. The getsegments tool returns a list of all segments in your project. Your Gemini agent can use this information to decide which users to target or analyze.

Q: Is it possible to bulk-update user properties in Heap from the Google ADK?

It is. The bulkadduserproperties tool is exposed for exactly this purpose. It's the right way to sync changes for many users at once from a source like BigQuery.

Q: How can I check my Heap API usage with a Google ADK agent?

Your agent can call the getapiusage tool. It returns your current usage stats, which is useful for building automated monitoring and alerting on your Google Cloud infrastructure.

Let your Google ADK agents act on BigQuery insights. Track results and manage user segments in Heap automatically.

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Connect Heap MCP to Google ADK

Create your Vinkius account to connect Heap 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 Heap with Google ADK

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Close the Loop on Your Data

Your Gemini agent finds a valuable cohort in BigQuery. What's next? With this MCP Server, the agent can immediately act on that insight. It can tag those users in Heap with `add_user_properties` or create a new `track_event` to signal the start of a campaign. This creates a direct feedback loop between your data warehouse and your product analytics. The agent isn't just reporting findings—it's executing the next step. Gemini's long context means it can reason about complex data from your warehouse before deciding which event to track in Heap.

Sync Enterprise Data with Heap

Keep your account and user data consistent across your entire Google Cloud environment. An agent can `query_user_profiles` from Heap, cross-reference them with customer data in another service, and then apply updates using `add_account_properties`. This is perfect for B2B SaaS. When an account's status changes in your CRM, an agent can automatically update its properties in Heap. You don't need to build and maintain a custom integration for this; the agent just calls the tool.

Let Agents Manage Your Heap Project

Delegate routine analytics maintenance to an agent. It can use `get_event_definitions` to check for inconsistent naming conventions or run `get_segments` to list all defined audiences. This is a simple way to enforce data hygiene. You can also build a monitoring agent that periodically calls `get_api_usage`. If you're getting close to your Heap API limits, the agent can send an alert to your Ops team in Google Chat. This MCP server gives your agents the visibility they need.

Setup guide

Set up Heap 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 Heap 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="Heap_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Heap tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Heap MCP in Google ADK

You instantiate an `McpToolset` with your unique Vinkius server URL. Then, you pass that toolset to your `LlmAgent` during setup. The agent will have immediate access to all the Heap tools.

Yes. The `get_segments` tool returns a list of all segments in your project. Your Gemini agent can use this information to decide which users to target or analyze.

It is. The `bulk_add_user_properties` tool is exposed for exactly this purpose. It's the right way to sync changes for many users at once from a source like BigQuery.

Your agent can call the `get_api_usage` tool. It returns your current usage stats, which is useful for building automated monitoring and alerting on your Google Cloud infrastructure.

The agent interacts with your Heap event definitions and user profile data. Vinkius protects this by isolating every request in a hardened V8 sandbox. Authentication is handled via a single, revocable token, not stored credentials.

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