How to Use the Besitos Corp MCP in Google ADK
Connect this MCP Server to your Google ADK pipelines and analyze Besitos Corp player data natively on Google Cloud.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Besitos Corp MCP to Google ADK
Create your Vinkius account to connect Besitos Corp 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.
Sync catalogs with Google ADK
The `list_games` tool feeds the entire Besitos mobile gaming marketplace into your Gemini context window. Long-context reasoning means your AI client can ingest the full catalog without truncating descriptions. You get immediate visibility into every active title. Coupling this with `list_offers` lets your agent map reward milestones to specific games. Since you run this on Google Cloud, the agent can cross-reference these offers against historical performance data sitting in BigQuery. The integration handles the schema mapping automatically.
Analyze player sessions
The `list_user_activity` tool retrieves granular play session data for individual gamers. Gemini processes these timestamps and playtime metrics to identify engagement patterns. You feed this raw behavior data directly into Vertex AI for deeper predictive modeling. Tracking payouts is handled by `list_user_rewards`. When a player queries their balance, the agent checks the ledger and responds instantly. Using the tool_names filter in your MCP toolset ensures the agent only accesses these specific read-only functions.
Query monetization data via MCP Server
The `get_revenue_report` tool pulls summary financial metrics from your reward campaigns. Your agent grabs the monetization stats and structures them for immediate export. This eliminates manual CSV downloads from the dashboard. Campaign performance requires `get_engagement_report` and `get_campaign`. The agent evaluates user retention across different reward tiers. You build automated pipelines that alert your marketing team when a specific campaign drops below target engagement thresholds.
Set up Besitos Corp 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 Besitos Corp 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="Besitos Corp_agent",
model="gemini-2.0-flash",
instruction="You have access to Besitos Corp 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 Besitos Corp. 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 Besitos Corp MCP in Google ADK
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