How to Use the BEA (Bureau of Economic Analysis) MCP in Google ADK

Q: How do I set up the BEA (Bureau of Economic Analysis) MCP Server with Google ADK?

First, pip install google-adk. Then, create an McpToolset instance using the Vinkius server URL. Pass that toolset into your LlmAgent's tools list.

Q: Can I use Google ADK to analyze BEA (Bureau of Economic Analysis) data against my company's BigQuery data?

Absolutely. Your agent can use the getdata tool to fetch economic stats from the BEA, and because it's a Gemini-powered agent, it can reason over that data alongside query results from BigQuery in its context window.

Q: How can my Google ADK agent find the correct table names for the BEA (Bureau of Economic Analysis) NIPA dataset?

The best method is a two-step call. First, use getparameterlist on the 'NIPA' dataset to see that 'TableName' is a valid parameter. Then, use getparametervalues on 'TableName' to get a list of all official table IDs.

Connect your Google ADK agents to live BEA economic data and analyze it against your Google Cloud resources.

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Connect BEA (Bureau of Economic Analysis) MCP to Google ADK

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Setup BEA (Bureau of Economic Analysis) with Google ADK

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Correlate Your Data with US Economic Trends

This toolset gives your Gemini agent direct API access to the Bureau of Economic Analysis. Use the `get_data` tool to fetch national GDP, regional income, or other key economic indicators. Now you can put that data right next to your own. Have your agent pull BEA stats and cross-reference them with your sales figures in BigQuery. With Gemini's long context, you can analyze years of economic data against your internal metrics in one shot.

Build Enterprise Agents on Google Cloud

The `get_dataset_list` and `get_parameter_list` tools let your agent discover what BEA data is available on the fly. This is perfect for building robust, enterprise-grade agents that don't break when API details change. Because you're using Google ADK, you can orchestrate this with other Google Cloud services. For example, trigger a Cloud Function that uses this MCP Server to get fresh inflation data, then run a new analysis in Vertex AI. It fits right into your existing GCP workflow.

Query BEA Datasets Programmatically

Forget screen-scraping or downloading files. Your agent can programmatically find the exact parameters for a query. Use `get_parameter_values` to see all valid table names for the 'GDPByIndustry' dataset, for example. This turns your agent into a powerful data-gathering tool. It can construct and execute precise calls to `get_data` without any manual intervention. This is how you automate market analysis or build dynamic economic dashboards powered by your agent.

Setup guide

Set up BEA (Bureau of Economic Analysis) 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 BEA (Bureau of Economic Analysis) 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="BEA (Bureau of Economic Analysis)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to BEA (Bureau of Economic Analysis) 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 BEA (Bureau of Economic Analysis). 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 BEA (Bureau of Economic Analysis) MCP in Google ADK

First, `pip install google-adk`. Then, create an `McpToolset` instance using the Vinkius server URL. Pass that toolset into your `LlmAgent`'s tools list.

Absolutely. Your agent can use the `get_data` tool to fetch economic stats from the BEA, and because it's a Gemini-powered agent, it can reason over that data alongside query results from BigQuery in its context window.

The best method is a two-step call. First, use `get_parameter_list` on the 'NIPA' dataset to see that 'TableName' is a valid parameter. Then, use `get_parameter_values` on 'TableName' to get a list of all official table IDs.

Yes. This MCP Server queries the official BEA API directly. You're getting the same numbers the US government publishes, piped straight into your agent.

Your agent sends only the necessary query parameters for the BEA data—like dataset names and years—to the Vinkius MCP endpoint. The server is stateless and doesn't store your requests. Your Google Cloud data and prompts remain within your own environment.

Use it with your favorite AI tools

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