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How to Use the Tradier MCP in Google ADK

Build enterprise financial agents with the Google ADK using Tradier.

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Google ADK

Connect Tradier MCP to Google ADK

Create your Vinkius account to connect Tradier 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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Execute and manage trades via the MCP Server.

Need to run a trade? Use `place_order` through your LlmAgent. You can also check if an order went through by calling `get_order_status`. The system lets you cancel pending orders with `cancel_order`, keeping everything trackable. It's built for enterprise scale, so managing complex trades and their lifecycle is straightforward with this Tradier MCP Server.

Pull deep market data into BigQuery.

Historians love this. You can pull price bars—daily, weekly, or monthly—using `get_historical_data`. This feeds perfectly into BigQuery for long-term analysis. For options trading, the tool provides full option chains (`get_option_chains`) and real-time quotes via `get_quotes`, giving your agent deep data to process.

Get comprehensive account details with Google ADK.

When starting a workflow, your agent needs context. Use `get_account_balances` for buying power and cash levels. You can also view current holdings using `get_account_positions`. The MCP Server makes it easy to gather all this data at once. Your agent's profile details are available through `get_user_profile`, which is a key step before any complex action.

Setup guide

Set up Tradier 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 Tradier 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="Tradier_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Tradier 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 Tradier. 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

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Real-time monitoring

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

Built-in savings

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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 Tradier MCP in Google ADK

The agent calls `get_account_balances`. This method provides real-time figures on your buying power and available capital. It's a core function for any enterprise trading pipeline.
Yes, the `search_symbols` tool lets you find any symbol using keywords or descriptions. This is critical when your agent needs to act on an asset name it doesn't recognize.
You use the `place_order` tool for executing both equity and option trades. The agent handles the execution, letting you focus on the high-level logic in Vertex AI.
It provides historical data (`get_historical_data`), real-time quotes (`get_quotes`), and option chains. This variety lets your agent perform complex, multi-asset reasoning.
The server touches account balances, order status, and trading history records. All of these are accessible via the `get_account_balances` and `get_order_status` tools.

Start using the Tradier MCP today

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