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How to Use the FRED Full Access — U.S. Economic Intelligence MCP in Google ADK

Connect Google ADK to federal datasets via FRED Full Access — U.S. Economic Intelligence.

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Google ADK

Connect FRED Full Access — U.S. Economic Intelligence MCP to Google ADK

Create your Vinkius account to connect FRED Full Access — U.S. Economic Intelligence 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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Link economic data to Google ADK

Your agent connects to the Federal Reserve's database to enrich your BigQuery workflows. It uses `get_series` to pull specific metrics into your agent's reasoning process. This allows your enterprise agent to cross-reference internal records with external macro trends. It keeps your data pipeline synced with national economic releases.

Map regional trends with Google ADK

Visualize economic shifts using `get_geo_shapes` and `get_regional_data`. Your agent grabs current geographic data and prepares it for your mapping infrastructure. This gives your team a clear view of regional volatility. It turns raw Fed numbers into actionable spatial intelligence for your Google Cloud projects.

Manage releases with Google ADK

Stay ahead of market shifts by using `list_releases` to monitor upcoming data drops. Your agent checks the calendar and schedules updates based on new federal reports. Your agents stay informed without manual polling. It automates the monitoring of 107 different data sources across the entire Federal Reserve system.

Setup guide

Set up FRED Full Access — U.S. Economic Intelligence 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 FRED Full Access — U.S. Economic Intelligence 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="FRED Full Access — U.S. Economic Intelligence_agent",
    model="gemini-2.0-flash",
    instruction="You have access to FRED Full Access — U.S. Economic Intelligence 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 FRED. 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 FRED Full Access — U.S. Economic Intelligence MCP in Google ADK

Yes, use the `McpToolset` class to register the server. You can pass this toolset to your agent to allow access to all 19 federal data tools.
Yes, use the `tool_names` filter in your configuration. This restricts the agent to only the specific data points required for your enterprise logic.
The server provides precise, bite-sized data via `get_observations`. This keeps your agent's token usage efficient even when analyzing massive historical series.
Yes, it supports both Stdio and HTTP transports. You choose the configuration that fits your specific Google Cloud infrastructure requirements.
The server uses a zero-trust architecture. It only interacts with public Federal Reserve time series, ensuring no internal enterprise data is exposed or leaked.

Start using the FRED Full Access — U.S. Economic Intelligence MCP today

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