How to Use the BLS Prices — Consumer Price Index (CPI) & Inflation MCP in Google ADK

Q: Is Google ADK compatible with BLS Prices — Consumer Price Index (CPI) & Inflation series queries?

Absolutely. You can use the querybls tool to target any series ID you need. The agent will interpret the results within your Google Cloud pipeline.

Q: Can I limit tool access in Google ADK?

You can use the toolnames filter to whitelist only the specific BLS tools your agent needs. This adds a layer of control over your agent's capabilities.

Bring live cost of living metrics into your Google ADK agent infrastructure.

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Connect BLS Prices — Consumer Price Index (CPI) & Inflation MCP to Google ADK

Create your Vinkius account to connect BLS Prices — Consumer Price Index (CPI) & Inflation 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 BLS Prices — Consumer Price Index (CPI) & Inflation with Google ADK

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Fetch CPI data using Google ADK

Connect `get_cpi_inflation` to your Gemini-powered agents. The tool returns current price shifts so your agent can reason over long contexts. This integration works inside your Google Cloud setup. You get high-fidelity inflation data without leaving the framework.

Query granular BLS metrics in Google ADK

Use `query_bls` to pull specific historic indexes from the BLS v2 API. Your agent processes these series IDs to build custom reports on consumer buying power. It works natively with your existing Google infrastructure. You can filter tool access if you want to restrict which agents see the data.

Integrate inflation data into your Google ADK workflows

Pair this MCP Server with your BigQuery datasets. Your agent can compare internal costs against actual CPI trends to spot anomalies fast. This approach uses the McpToolset to bridge external data into your agent. It handles the heavy lifting while you focus on the logic.

Setup guide

Set up BLS Prices — Consumer Price Index (CPI) & Inflation 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 BLS Prices — Consumer Price Index (CPI) & Inflation 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="BLS Prices — Consumer Price Index (CPI) & Inflation_agent",
    model="gemini-2.0-flash",
    instruction="You have access to BLS Prices — Consumer Price Index (CPI) & Inflation tools via MCP.",
    tools=mcp_tools,
)

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Common questions about BLS Prices — Consumer Price Index (CPI) & Inflation MCP in Google ADK

Initialize the McpToolset with your server URL. Pass it into your LlmAgent to give it the capability to read inflation and cost of living metrics.

Absolutely. You can use the `query_bls` tool to target any series ID you need. The agent will interpret the results within your Google Cloud pipeline.

Yes. Gemini models can hold 1M+ tokens, so you can feed in years of historical BLS data for deep reasoning.

The MCP Server transmits raw economic data to your agent via a secure HTTP transport. No persistent logging occurs on the Vinkius side.

You can use the tool_names filter to whitelist only the specific BLS tools your agent needs. This adds a layer of control over your agent's capabilities.

Use it with your favorite AI tools

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