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How to Use the Dynamo Software MCP in Google ADK

Scale your investment operations using Google ADK. Connect your Dynamo Software data to Gemini for complex analysis.

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Google ADK

Connect Dynamo Software MCP to Google ADK

Create your Vinkius account to connect Dynamo Software 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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Identify active investors with Google ADK

Call `list_active_investors_only` to get a filtered list of your current partners. Your agent excludes inactive records from the dataset automatically. This clean data feed allows for faster communication cycles. You target the right stakeholders without filtering through stale contact records.

High-valuation fund identification

Use `list_high_valuation_funds` to flag assets that exceed your defined thresholds. Your agent highlights these items for your immediate attention. This mechanism replaces the manual scanning of portfolio lists. You stay ahead of market shifts by letting the agent identify outliers.

Portfolio monitoring with MCP Server tools

Run `list_dynamo_portfolios` to map your entire investment footprint. This gives your agent a complete view of your asset distribution. It provides the foundation for your analysis. You can then trigger follow-up queries to drill down into specific fund performance.

Setup guide

Set up Dynamo Software 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Dynamo Software 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="Dynamo Software_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Dynamo Software 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 Dynamo Software. 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 Dynamo Software MCP in Google ADK

Yes. You can pipe the output from these tools directly into your cloud infrastructure. This lets you combine external data with your investment records.
It does. You can restrict which tools the agent sees. This keeps your interface clean and limits the agent to specific operations.
You provide an endpoint token via the Vinkius interface. The server handles authentication so your agent doesn't need to store raw keys.
Your data privacy is the top priority. The server uses an ephemeral transport layer to transmit sensitive investor names and statuses directly to your agent without persistence.
The server maps directly to the current API. If the schema updates, your agent receives the latest structure automatically.

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