How to Use the Treasury Return Calculator MCP in Google ADK

Q: How do I install the Treasury Return Calculator on Google ADK?

Install the google-adk package via pip first. Then, define a new McpToolset pointing to the MCP URL. Pass this toolset directly to your LlmAgent to expose the bond tools.

Q: Can I filter which tools are exposed to my Google Cloud agents?

Yes, you can use the optional toolnames parameter in the toolset configuration. This lets you restrict access to specific valuation tools. It prevents agents from executing unauthorized calculations.

Run sovereign bond valuations and currency yield conversions directly inside your Google ADK enterprise agent pipelines.

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Connect Treasury Return Calculator MCP to Google ADK

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Setup Treasury Return Calculator with Google ADK

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High-Volume Treasury Valuations with Google ADK

The `calculate_bond_valuation` tool calculates fair market price and annualized yield to maturity for sovereign debt. Your Google Cloud agents can pull historical bond data from BigQuery and compute valuations instantly. This MCP handles large-scale portfolios without hitting memory limits. The Gemini long-context window lets your agent analyze thousands of bond records in a single session.

Cross-Border Gilt and Bund Yields

We use `calculate_currency_equivalent_yield` to convert foreign sovereign bond returns into your target currency. It's built to handle cross-rate math between USD, GBP, and EUR automatically. You can restrict this tool to specific agents using the ADK's native toolset filters. This keeps your pipeline secure while processing international treasury data.

Inflation and Purchasing Power Analytics

The `calculate_inflation_adjusted_return` tool applies the Fisher equation to measure real purchasing power preservation. It helps your agent identify which international bonds survive inflation. This MCP integrates with your existing Vertex AI pipelines. Your agents can write these inflation-adjusted metrics straight back to your enterprise databases.

Setup guide

Set up Treasury Return Calculator 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 Treasury Return Calculator 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="Treasury Return Calculator_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Treasury Return Calculator tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Treasury Return Calculator MCP in Google ADK

Install the `google-adk` package via pip first. Then, define a new `McpToolset` pointing to the MCP URL. Pass this toolset directly to your `LlmAgent` to expose the bond tools.

Yes, you can use the optional `tool_names` parameter in the toolset configuration. This lets you restrict access to specific valuation tools. It prevents agents from executing unauthorized calculations.

Your agent retrieves raw bond records from BigQuery first. Then, it passes those parameters to the MCP to calculate yields. The agent can then write the processed results back to your database.

Yes, the ADK supports both transport protocols. You can run the MCP locally via Stdio for development. For production, deploy it as a hosted HTTP service.

All bond yields, purchase prices, and inflation inputs are processed within your Google Cloud security perimeter. The MCP handles the math locally or over encrypted VPC connections. No financial data is shared with external third-party services.

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