How to Use the AEGIS Hedging MCP in Google ADK

Q: How do I configure AEGIS Hedging with Google ADK?

Install the SDK and create an McpToolset instance using your Vinkius URL. Pass this toolset into the tools array when initializing your LlmAgent.

Q: How do I restrict which AEGIS Hedging tools my Google ADK agent can use?

Use the optional toolnames parameter when setting up the MCP toolset. This lets you expose getvaluations while hiding listtrades if needed.

Feed real-time energy valuations and forward curves into your Gemini models using AEGIS Hedging and Google ADK.

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Connect AEGIS Hedging MCP to Google ADK

Create your Vinkius account to connect AEGIS Hedging 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 AEGIS Hedging with Google ADK

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Ground Gemini in Energy Markets

Enterprise models need massive amounts of context to analyze energy risk accurately. When you connect this MCP Server to your Google Cloud environment, your agent can ingest entire forward curves directly from AEGIS. The `get_forward_curves` tool pulls the raw pricing data. Because Gemini handles million-token contexts, you can feed years of historical BigQuery data alongside these live curves to identify complex pricing anomalies.

Analyze Valuations with Google ADK

Tracking mark-to-market shifts requires constant data alignment between your risk platform and internal data warehouses. Your `LlmAgent` can now bridge that gap by calling the `get_valuations` tool. The agent fetches the real-time MTM numbers and can immediately write them to Vertex AI pipelines or BigQuery tables for further analysis. You maintain complete control over which tools the agent accesses by using the `tool_names` filter during setup.

Manage Trade Context Autonomously

Reconciling daily energy hedges usually involves manual CSV exports and spreadsheet math. You can automate this by giving your agent access to the `list_trades` tool to pull active positions on demand. To set it up, install `google-adk` and configure `McpToolset` with your Vinkius HTTP endpoint. The agent will run `check_api_version` to verify the connection, then start pulling trade records directly into your Google Cloud workflows.

Setup guide

Set up AEGIS Hedging 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 AEGIS Hedging 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="AEGIS Hedging_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AEGIS Hedging 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 AEGIS Hedging. 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 AEGIS Hedging MCP in Google ADK

Install the SDK and create an `McpToolset` instance using your Vinkius URL. Pass this toolset into the `tools` array when initializing your `LlmAgent`.

Yes. The server fetches the data, and Gemini's massive context window allows it to process extensive forward curve datasets alongside your existing BigQuery records.

Use the optional `tool_names` parameter when setting up the MCP toolset. This lets you expose `get_valuations` while hiding `list_trades` if needed.

It works perfectly. You can run your agent on Vertex AI infrastructure and use this integration to pipe AEGIS market data into your enterprise applications.

Your proprietary forward curves and trade lists are never stored by Vinkius. The zero-trust architecture ensures that your agent pulls data through a secure, encrypted tunnel directly into your Google Cloud environment.

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