How to Use the Amplitude Alternative MCP in Google ADK

Give your Gemini agents direct access to product analytics and user cohorts through Google ADK.

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Connect Amplitude Alternative MCP to Google ADK

Create your Vinkius account to connect Amplitude Alternative 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 Amplitude Alternative with Google ADK

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Perplexity

Map your marketing taxonomy

Enterprise analytics taxonomies get messy fast. Your Gemini agent reads the current event structure through the MCP Server by calling `list_event_types` and `list_event_properties`. It ingests the entire schema into its context window to understand exactly how your telemetry is organized. When your product team launches a new feature, the dictionary needs an update. The agent executes `create_category` to keep the taxonomy organized. Gemini's massive context limit means it cross-references thousands of existing events before creating a new category.

Analyze user profiles with Google ADK

Support agents need historical context to resolve complex tickets. They run `get_user_profile` to pull a real-time feed of what the customer clicked before complaining. The model analyzes the sequence of events to pinpoint exactly where the user got stuck. Product managers run constant A/B tests to optimize conversion rates. Your agent checks `get_experiment_variant` to see which version of the checkout flow a specific user saw. It joins this variant data with BigQuery records to calculate the actual revenue impact.

Track cross-platform attribution

Customers switch devices constantly during the buying journey. You fix fragmented tracking by having the agent call `map_user`. This links an anonymous mobile ID to a known web user ID, merging their behavioral history into a single continuous timeline. Marketing spend happens across dozens of ad networks. Your agent pulls data from external partners and pushes it through the MCP Server using `send_attribution`. The analytics backend ties that ad click directly to the downstream subscription event.

Setup guide

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

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Common questions about Amplitude Alternative MCP in Google ADK

Install google-adk via pip. You wrap your Vinkius URL in StreamableHttpServerParameters and pass it to McpToolset. Feed that toolset directly into your LlmAgent initialization.

It handles massive taxonomies easily. Gemini pulls the full list of event types and properties, storing the entire dictionary in its 1M+ token context window for accurate querying.

Your agent reads rows from BigQuery using native Google tools and pushes them as custom events. It formats the SQL output into valid event payloads before sending them to the analytics API.

The agent queries the experiment API to check variant assignments for specific users. It reads the exposure logs to verify if a customer actually saw the new feature or the control group.

Every profile lookup executes inside an ephemeral sandbox that isolates your customer data from other processes. We manage the network layer so your agent communicates securely without exposing long-lived credentials.

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