How to Use the Alpha Vantage MCP in Google ADK

Q: Can I run Alpha Vantage technical analysis inside Google ADK?

Yes. Your agent calls getrsi to monitor momentum indicators, allowing Gemini to correlate technical levels with your enterprise data.

Q: Can I limit which Alpha Vantage tools my Google ADK agent can access?

Yes. Use the optional toolnames filter in your McpToolset configuration to expose only specific tools like getquote while hiding the rest.

Feed real-time Alpha Vantage market data into your Google ADK enterprise pipelines using this dedicated MCP server.

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Connect Alpha Vantage MCP to Google ADK

Create your Vinkius account to connect Alpha Vantage 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 Alpha Vantage with Google ADK

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Inject historical market trends into Gemini

`get_daily_time_series` extracts decades of raw stock performance data directly into your Google ADK pipeline. This gives Gemini's million-token window thousands of real historical data points to parse at once. You can combine this historical data with your existing BigQuery tables. The Google ADK agent processes the entire timeline in a single run, generating long-term trend reports without losing context.

Analyze market sentiment for enterprise portfolios

`get_news_sentiment` fetches live news articles, sentiment scores, and relevance metrics directly for your Google ADK agents. Your Gemini agent reads these scores to gauge market reactions to breaking news. This sentiment feed integrates with Vertex AI pipelines to build predictive models. The MCP tools filter the news by specific topics, so your agent only processes articles that matter to your portfolio.

Track real-time sector performance in Google ADK

`get_sector_performance` retrieves immediate gain and loss percentages across all major market sectors. Your Google ADK enterprise agent uses this tool to identify which industries are leading or lagging during the trading day. You can restrict your Google ADK agent to only use this specific tool by applying the tool_names filter during setup. This keeps your agent focused on macro sector shifts without exposing unnecessary endpoints.

Setup guide

Set up Alpha Vantage 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 Alpha Vantage 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="Alpha Vantage_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Alpha Vantage tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Alpha Vantage MCP in Google ADK

Use McpToolset with your Vinkius server parameters and pass it to the tools list of your LlmAgent. This exposes the Alpha Vantage tools directly to Gemini.

Yes. Your agent calls get_rsi to monitor momentum indicators, allowing Gemini to correlate technical levels with your enterprise data.

Gemini's large context window allows the Google ADK to ingest the full output of get_monthly_time_series without hitting token limits, making long-term trend analysis highly efficient.

Yes. Use the optional tool_names filter in your McpToolset configuration to expose only specific tools like get_quote while hiding the rest.

All requests run through Vinkius's zero-trust sandbox, ensuring your financial tickers and query parameters are never stored or leaked to Google Cloud's public logs.

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