How to Use the Fiscal Data (U.S. Treasury) MCP in Google ADK

Q: How do I connect Fiscal Data (U.S. Treasury) to my Google ADK agent?

You instantiate an McpToolset using your server's HTTP endpoint. Once passed to your LlmAgent, the tools are ready to use within your Google Cloud ecosystem.

Q: Can I filter the tools exposed to Google ADK for Fiscal Data (U.S. Treasury)?

Yes, use the toolnames filter in your McpToolset config. This limits the agent to only the specific data tools you want it to access.

Integrate official Fiscal Data (U.S. Treasury) into your Google ADK agent ecosystem for enterprise-grade reporting.

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Connect Fiscal Data (U.S. Treasury) MCP to Google ADK

Create your Vinkius account to connect Fiscal Data (U.S. Treasury) 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 Fiscal Data (U.S. Treasury) with Google ADK

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MTS Table Access via Google ADK

Your agent calls `get_mts_table_1` and `get_mts_table_9` to pull monthly fiscal data directly into your Gemini-powered pipeline. This removes the need for middleware. Connecting this MCP Server to your Google ADK setup ensures your agents operate on the same data as federal auditors. You get cleaner output for your internal financial models.

Global Exchange Rate Automation

Your agent retrieves official rates using `get_rates_of_exchange` to update your BigQuery tables. It works natively within your existing infrastructure. By automating this flow, you ensure your currency hedging agents are never guessing. They act on official government numbers every single time.

Custom Dataset Query Execution

Use `query_dataset` to reach into the 170+ available fiscal endpoints. Your agent can filter these results based on your specific enterprise requirements. This gives your agent the reach to pull granular data on federal debt, interest rates, or accounting categories. You define the scope and the agent handles the retrieval.

Setup guide

Set up Fiscal Data (U.S. Treasury) 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 Fiscal Data (U.S. Treasury) 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="Fiscal Data (U.S. Treasury)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Fiscal Data (U.S. Treasury) 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 Fiscal Data (U.S. Treasury). 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 Fiscal Data (U.S. Treasury) MCP in Google ADK

You instantiate an `McpToolset` using your server's HTTP endpoint. Once passed to your `LlmAgent`, the tools are ready to use within your Google Cloud ecosystem.

Yes, you can feed large sets of Treasury data into your Gemini model's context window. This is ideal for deep analysis of multi-year fiscal trends.

The server runs as an ephemeral process. It only transmits data you explicitly request through your agent tools, keeping your infrastructure footprint minimal.

Yes, use the `tool_names` filter in your `McpToolset` config. This limits the agent to only the specific data tools you want it to access.

The agent receives the raw JSON response from the Treasury API. You can then pipe that data directly into BigQuery or other storage services without intermediate formatting.

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