How to Use the CheapShark MCP in Google ADK
Connect Gemini agents on Google ADK to CheapShark for real-time game price analysis and alerts in your GCP environment.
Works with every AI agent you already use
…and any MCP-compatible client
Connect CheapShark MCP to Google ADK
Create your Vinkius account to connect CheapShark 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 Thousands of Deals in BigQuery
Your Gemini agent can call `get_deals` to pull huge lists of game sales directly into your Google Cloud project. Gemini's million-token context window means your agent can hold and reason over thousands of deals in a single prompt. This is perfect for large-scale analysis. You can have your agent compare the live deal data from CheapShark against historical pricing trends stored in a BigQuery table.
Trigger Game Searches from Google Sheets
The `search_games` and `get_game` tools let your agent look up specific game information on command. You can easily build an agent that reads a list of game titles from a Google Sheet. The agent then executes the searches via this MCP server and can write the results—like current price and store—right back into another sheet or a BigQuery table.
Build GCP-Native Workflows with This MCP Server
Use the `manage_alert` tool to have your agent set price watches on key games. This MCP Server connects your Google ADK agent directly to CheapShark's alert system. You can design a system where the price alert email from CheapShark triggers a Google Cloud Function, kicking off a whole new workflow. The `McpToolset` makes adding these tools to your `LlmAgent` a one-liner.
Set up CheapShark 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 CheapShark 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="CheapShark_agent",
model="gemini-2.0-flash",
instruction="You have access to CheapShark 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 CheapShark. 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 CheapShark MCP in Google ADK
Use it with your favorite AI tools
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