How to Use the BreezoMeter Air Quality & Pollen MCP in Google ADK
Feed real-time air quality and pollen data directly into your Google ADK enterprise agents.
Works with every AI agent you already use
…and any MCP-compatible client
Connect BreezoMeter Air Quality & Pollen MCP to Google ADK
Create your Vinkius account to connect BreezoMeter Air Quality & Pollen 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.
Enterprise environmental analysis with Google ADK
Connect your Gemini models directly to real-time environmental data streams using this MCP server. Your agent uses `get_air_quality` to pull immediate AQI and pollutant concentrations right into its long-context window. This setup lets you cross-reference live pollution metrics with historical data stored in BigQuery. The agent handles the retrieval and analysis without you writing custom API pipelines.
Automated pollen tracking via `get_pollen_levels`
Keep your agricultural or healthcare agents updated with live biological data. The agent invokes `get_pollen_levels` to check current tree, weed, and grass pollen counts for any target location. Because the Google ADK handles long-context reasoning, your agent can analyze pollen trends across thousands of locations simultaneously. You get structured, actionable reports without hitting token limits.
Secure HTTP transport for this MCP Server
Deploy this server inside your Google Cloud ecosystem using standard HTTP transport. The ADK's `McpToolset` class connects to the server endpoint and registers the tools with your `LlmAgent`. You can restrict access by filtering the tool list during initialization. This ensures your agent only calls the specific environmental tools your workflow requires.
Set up BreezoMeter Air Quality & Pollen MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 BreezoMeter Air Quality & Pollen tools in your ADK agent.
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="BreezoMeter Air Quality & Pollen_agent",
model="gemini-2.0-flash",
instruction="You have access to BreezoMeter Air Quality & Pollen 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 BreezoMeter. 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 BreezoMeter Air Quality & Pollen MCP in Google ADK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the BreezoMeter Air Quality & Pollen MCP today
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