How to Use the IBKR (Interactive Brokers) MCP in Google ADK

Q: How do I set up IBKR (Interactive Brokers) with Google ADK?

Install google-adk and create an McpToolset using your Vinkius HTTP endpoint. Pass this toolset into your LlmAgent configuration to give Gemini direct access to all nine trading and reporting tools.

Q: Can Google ADK limit which IBKR (Interactive Brokers) tools are exposed?

Yes. You can use the optional toolnames filter in the ADK toolset configuration to restrict exposure. For instance, you can expose only getaccountsummary to read-only research agents while hiding placeorder.

Connect your IBKR account to Google ADK to analyze massive portfolio datasets in BigQuery and execute trades using Gemini.

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Connect IBKR (Interactive Brokers) MCP to Google ADK

Create your Vinkius account to connect IBKR (Interactive Brokers) 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 IBKR (Interactive Brokers) with Google ADK

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Enterprise Portfolio Analysis with Google ADK

Large portfolios generate massive amounts of transactional data that quickly overwhelm standard databases. By combining this MCP Server with Google ADK, you can stream your live financial status directly into BigQuery. The agent uses `get_portfolio_ledger` and `get_account_summary` to pull your current positions and cash balances. Once the data is in your Google Cloud environment, you can run complex SQL queries or Vertex AI models to find inefficiencies. Gemini's massive context window lets you feed years of ledger history directly into the reasoning loop to spot long-term performance trends.

Bulk Reporting via Cloud Workflows

Generating deep-dive financial reports usually requires manual portal exports. This MCP integration automates the entire pipeline by exposing `send_flex_request` to your enterprise agents. The agent requests the report, receives a reference code, and polls `get_flex_statement` when the data is ready. Because the Google ADK handles long-running processes natively, your agent can wait for massive Flex statements to generate without blocking other operations. The raw XML or CSV output is then pushed straight to Google Cloud Storage for downstream analysis.

Real-Time Market Execution and Order Control

Fast execution requires immediate data and direct action. Your Gemini-powered agent uses `get_market_data_snapshot` to check real-time contract prices before making any moves. When the model detects an execution signal, it immediately triggers `place_order` with the exact JSON payload required. If market dynamics shift while an order is resting, the agent calls `modify_order` or `cancel_order` to mitigate risk. This direct feedback loop ensures your automated trading strategies run with minimal latency on Google Cloud infrastructure.

Setup guide

Set up IBKR (Interactive Brokers) 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 IBKR (Interactive Brokers) 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="IBKR (Interactive Brokers)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to IBKR (Interactive Brokers) tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Interactive Brokers. 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 IBKR (Interactive Brokers) MCP in Google ADK

Install `google-adk` and create an `McpToolset` using your Vinkius HTTP endpoint. Pass this toolset into your `LlmAgent` configuration to give Gemini direct access to all nine trading and reporting tools.

Yes. You can use the optional `tool_names` filter in the ADK toolset configuration to restrict exposure. For instance, you can expose only `get_account_summary` to read-only research agents while hiding `place_order`.

Gemini's million-token context window easily digests the raw text returned by `get_flex_statement`. The model can parse, summarize, and extract key tax or transaction metrics from these massive reports without running out of memory.

Yes, the server communicates with the IBKR Client Portal API. Vinkius hosts the server, but you must ensure your gateway session is authenticated, using `tickle_session` to maintain the active connection.

Your portfolio ledger data is protected by ephemeral, zero-trust execution environments. Vinkius processes all API requests in isolated V8 sandboxes, ensuring your financial balances and trade history are never cached or exposed to other tenants.

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