How to Use the Appfigures MCP in Google ADK

Q: Can Google ADK filter which Appfigures tools are active?

You control this directly. Pass a toolnames list to the toolset to restrict your agent to specific operations like getsubscriptionsreport.

Pipe app store metrics straight into Gemini. Use Google ADK to query Appfigures data and analyze massive review datasets.

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Connect Appfigures MCP to Google ADK

Create your Vinkius account to connect Appfigures 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 Appfigures with Google ADK

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Massive Review Analysis

Gemini's massive context window begs for large datasets. You can dump thousands of app store comments directly into your agent's memory without hitting token limits. Call `list_my_products` to identify your apps, then loop `list_reviews` to pull historical feedback. The Google ADK agent processes years of user sentiment in a single prompt without choking.

Google ADK MCP Server Integration

Connecting your app store financials to Google Cloud infrastructure takes minutes instead of weeks. Your enterprise agents pull raw proceeds and download counts on demand. The agent executes `get_revenue_report` and `get_sales_report`, formatting the output for BigQuery insertion. You get automated daily sales tracking powered by native Gemini reasoning.

Competitor & Market Research

Keeping tabs on rival apps requires constant polling. Let an autonomous agent handle the grunt work by scanning the entire app store ecosystem. Through `search_products`, the system finds competing titles. It then monitors their keyword performance via `get_ranks` and alerts your team if a competitor triggers `list_featured` on the main store page.

Setup guide

Set up Appfigures 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 Appfigures 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="Appfigures_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Appfigures 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 Appfigures. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Common questions about Appfigures MCP in Google ADK

Install google-adk via pip. Wrap your Vinkius endpoint URL in StreamableHttpServerParameters and pass it to the McpToolset class.

You control this directly. Pass a tool_names list to the toolset to restrict your agent to specific operations like get_subscriptions_report.

Yes, the Google ADK connects these MCP tools directly to your Vertex AI models. Your agent reads app store data and cross-references it with your internal BigQuery tables.

The Vinkius endpoint supports HTTP transport. You configure this in the server parameters before passing the toolset to your LlmAgent.

Your financial proceeds, churn metrics, and category rankings flow through a secure V8 Isolate. The zero-trust architecture ensures Vinkius never caches your sensitive store data.

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