How to Use the Bollinger Bands Engine MCP in Google ADK

Analyze market trends using Google ADK and integrated technical math tools.

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Connect Bollinger Bands Engine MCP to Google ADK

Create your Vinkius account to connect Bollinger Bands Engine 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 Bollinger Bands Engine with Google ADK

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Google ADK tool integration

Connect your Gemini agents to the `calculate_bollinger_bands` tool using the McpToolset class. This bridges your cloud-based reasoning with specific financial logic. Your agent now has a dedicated calculator for volatility. It doesn't need to guess the bands anymore.

Vertex AI data processing

Pull your time-series data from BigQuery and feed it straight into the tool. The Google ADK setup lets your agent act on enterprise data without leaving the GCP ecosystem. It handles the math in a separate process. This keeps your main agent logic focused on decision-making.

Flexible transport for Google ADK

Use HTTP or Stdio to connect your agent to this MCP Server. Google ADK makes it simple to filter which tools your agent can actually see. Keep your tool list short. Only expose what the agent needs for its specific financial task.

Setup guide

Set up Bollinger Bands Engine 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 Bollinger Bands Engine 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="Bollinger Bands Engine_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Bollinger Bands Engine tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Bollinger Bands Engine MCP in Google ADK

You use the McpToolset class and point it at the server URL. It acts as a bridge for your Gemini agent to call the math functions.

Yes, the toolset supports a filter option. You can limit the agent to only use the band calculation tool.

It does. Since the tool is separate, your agent keeps its long-context window clear for analysis.

The tool returns an error code. Your agent receives this and can decide how to handle the missing data.

The connection is encrypted in transit. Once the calculation finishes, the server clears the input data from its RAM.

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