How to Use the AppsFlyer (Pull API) MCP in Google ADK
Feed raw mobile attribution data directly into Gemini's massive context window using Google ADK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect AppsFlyer (Pull API) MCP to Google ADK
Create your Vinkius account to connect AppsFlyer (Pull API) 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.
Analyze months of marketing data in one Gemini prompt.
Gemini models hold over a million tokens of context, making them perfect for digesting massive marketing outputs. Your agent can pull raw data with `get_installs_report` and feed the entire payload directly into the model for deep pattern matching. Because the framework connects natively with Google Cloud, you can instruct your agent to cross-reference these installation logs with your existing BigQuery data warehouses. You don't have to build custom ETL pipelines just to see if your paid installs are actually buying products.
Map global campaigns with this Google ADK MCP Server.
Geographic trends change fast, but your enterprise agent can keep up by running `get_geo_report` across your active territories. The MCP Server returns structured geographic performance data that your agent can immediately parse and format. You can restrict the agent's access to specific tools using the ADK toolset filter. If you only want your regional reporting agent to look at geographic data, simply hide the raw log tools during initialization.
Audit media sources using Google ADK and Gemini.
Stop wasting budget on bad ad networks. Your agent can run `get_partners_report` to compare performance across every media source you pay for, identifying high-cost, low-yield channels in seconds. If the agent spots a suspicious trend, it can automatically query `get_uninstalls_report` to check if a specific partner is driving high-churn installs. The entire investigation happens in a single execution loop inside your Google Cloud environment.
Set up AppsFlyer (Pull API) MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 AppsFlyer (Pull API) tools in your ADK agent.
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="AppsFlyer (Pull API)_agent",
model="gemini-2.0-flash",
instruction="You have access to AppsFlyer (Pull API) tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AppsFlyer. 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 AppsFlyer (Pull API) MCP in Google ADK
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