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How to Use the Fixer.io Currency API MCP in Google ADK

Connect Fixer.io Currency API to Google ADK to run currency conversions directly inside your Gemini enterprise workflows.

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Google ADK

Connect Fixer.io Currency API MCP to Google ADK

Create your Vinkius account to connect Fixer.io Currency API 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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Enterprise currency lookups via Google ADK

The `get_latest_exchange_rates` tool connects Gemini's long-context reasoning directly to real-time currency markets. Your enterprise agent pulls fresh rates and processes them alongside massive financial datasets in a single context window. Google ADK handles the transport layer, letting you feed these live exchange rates directly into BigQuery tables. This eliminates the need for external ETL pipelines to update daily localized pricing.

Historical rate analysis for BigQuery tables

The `get_historical_exchange_rate` tool fetches exact currency values for past dates to reconcile ledger entries. Your agent can loop through thousands of database rows and verify historical transaction values. Because Gemini models handle huge token limits, you can pass entire historical datasets alongside this tool. The agent executes queries for missing dates and fills the gaps in your cloud database automatically.

Live currency health monitoring

The `check_api_status` tool verifies connection status before your pipeline initiates bulk financial operations. This preventative check stops batch jobs from failing halfway through due to API downtime. You configure the MCP Server within your Google Cloud infrastructure using standard HTTP or Stdio transports. The agent checks the status, logs the telemetry to Cloud Logging, and proceeds only when the service is fully operational.

Setup guide

Set up Fixer.io Currency API 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 Fixer.io Currency API 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="Fixer.io Currency API_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Fixer.io Currency API 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 Fixer.io. 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 Fixer.io Currency API MCP in Google ADK

Configure your API key as an environment variable in your Google Cloud environment. The MCP Server managed by Vinkius injects this credential automatically, keeping it out of the Gemini prompt context.
Yes. The agent uses `convert_currency_amount` within its reasoning loop to process batches of transaction data. It can map these conversions directly to your BigQuery schemas.
Yes. All five tools, including `list_supported_currencies` and `get_historical_exchange_rate`, are auto-discovered when you register the server parameters in your Python code.
You can pass a year of transaction history to Gemini. The agent then calls `get_historical_exchange_rate` selectively to resolve discrepancies, using its context window to track which records need updates.
All requests containing currency symbols, dates, and amounts are processed in ephemeral V8 isolates. No transaction data is written to disk or used for model training, ensuring strict compliance with enterprise data governance policies.

Start using the Fixer.io Currency API MCP today

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