How to Use the MACD & RSI Oscillator Engine MCP in Google ADK

Q: How do I connect the MACD & RSI Oscillator Engine to Google ADK?

Install google-adk via pip. Initialize a McpToolset with StreamableHttpServerParameters pointing to your Vinkius MCP server endpoint.

Q: Can I filter which tools Google ADK sees from the MACD & RSI Oscillator Engine MCP server?

Yes. Use the toolnames parameter when setting up the toolset to restrict access to specific functions.

Feed BigQuery market data into the MACD & RSI Oscillator Engine using Google ADK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect MACD & RSI Oscillator Engine MCP to Google ADK

Create your Vinkius account to connect MACD & RSI Oscillator 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.

GDPR Free for Subscribers

Setup MACD & RSI Oscillator Engine with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Process massive datasets with Google ADK

The `calculate_macd_rsi` tool ingests historical price arrays and outputs precise momentum indicators. You configure the periods, and the engine returns the signal lines and histogram values. Gemini models hold massive context windows. You pull years of tick data from BigQuery, pass it to the tool, and have your agent analyze the entire historical trend in one shot.

Connect via standard MCP transports

Accessing `calculate_macd_rsi` happens through standard MCP transports. Google ADK supports both Stdio and HTTP connections for external tools. If you only want specific indicators exposed, you apply a `tool_names` filter. This restricts the agent to the exact math functions you authorize and nothing else.

Build enterprise quant pipelines

Adding `calculate_macd_rsi` to your Vertex AI environment gives your agents the math primitives they need for technical analysis. Institutional trading desks run on Google Cloud infrastructure. This MCP tool handles the math locally inside the execution environment. Your agent simply orchestrates the data movement between your storage buckets and the oscillator engine.

Setup guide

Set up MACD & RSI Oscillator 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 MACD & RSI Oscillator 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="MACD & RSI Oscillator Engine_agent",
    model="gemini-2.0-flash",
    instruction="You have access to MACD & RSI Oscillator Engine tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by technicalindicators. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect MACD & RSI Oscillator Engine now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about MACD & RSI Oscillator Engine MCP in Google ADK

Install `google-adk` via pip. Initialize a `McpToolset` with `StreamableHttpServerParameters` pointing to your Vinkius MCP server endpoint.

Yes. Use the `tool_names` parameter when setting up the toolset to restrict access to specific functions.

Yes. Your Gemini agent queries BigQuery tables and passes the resulting price arrays directly into the oscillator calculations.

The framework supports both Stdio and HTTP transports. For cloud deployments, the streamable HTTP connection is the standard approach.

The engine only touches the price arrays you explicitly send it. Your historical tick data remains isolated within the execution sandbox and does not persist after the calculation finishes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript