Bollinger Bands Engine MCP Server for Google ADKGive Google ADK instant access to 1 tools to Calculate Bollinger Bands

Name: Bollinger Bands Engine
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Bollinger Bands Engine as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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The Bollinger Bands Engine MCP Server for Google ADK is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="bollinger_bands_engine_agent",
    instruction=(
        "You help users interact with Bollinger Bands Engine "
        "using 1 available tools."
    ),
    tools=[mcp_tools],
)

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About Bollinger Bands Engine MCP Server

Bollinger Bands are crucial for measuring market volatility. They require computing a moving average, then a moving standard deviation, and then adding/subtracting it to form Upper and Lower bands. LLMs fail completely at calculating rolling standard deviations. This engine handles the complex math locally, returning exact arrays for the Upper, Middle, and Lower bands.

Google ADK natively supports Bollinger Bands Engine as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

The Bollinger Bands Engine MCP Server exposes 1 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 Bollinger Bands Engine tools available for Google ADK

When Google ADK connects to Bollinger Bands Engine through Vinkius, your AI agent gets direct access to every tool listed below — spanning financial-modeling, market-volatility, time-series, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

calculate

Calculate bollinger bands on Bollinger Bands Engine

Provide an array of numbers and optional period/stdDev. Calculates precise Bollinger Bands (Upper, Middle, Lower)

Connect Bollinger Bands Engine to Google ADK via MCP

Follow these steps to wire Bollinger Bands Engine into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 1 tools from Bollinger Bands Engine via MCP

Why Use Google ADK with the Bollinger Bands Engine MCP Server

Google ADK provides unique advantages when paired with Bollinger Bands Engine through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Bollinger Bands Engine

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Bollinger Bands Engine tools with BigQuery, Vertex AI, and Cloud Functions

Bollinger Bands Engine + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Bollinger Bands Engine MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Bollinger Bands Engine and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Bollinger Bands Engine tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Bollinger Bands Engine regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Bollinger Bands Engine

Example Prompts for Bollinger Bands Engine in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Bollinger Bands Engine immediately.

"Calculate the standard 20-period, 2-std-dev Bollinger Bands for this BTC price history."

"Compute the Bollinger Bands, then list all the dates where the closing price was strictly greater than the Upper Band."

"Calculate the width between the Upper and Lower bands. If the width shrinks by 50%, flag it as a 'Bollinger Squeeze'."

Troubleshooting Bollinger Bands Engine MCP Server with Google ADK

Common issues when connecting Bollinger Bands Engine to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Bollinger Bands Engine + Google ADK FAQ

Common questions about integrating Bollinger Bands Engine MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.