How to Use the PurpleAir MCP in Google ADK
Integrate global air quality metrics into your Google ADK agent framework for smarter environmental data processing.
Works with every AI agent you already use
…and any MCP-compatible client
Connect PurpleAir MCP to Google ADK
Create your Vinkius account to connect PurpleAir to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Pollution monitoring in Google ADK
Use `get_outdoor_sensors` to fetch ambient air quality metrics directly into your Google ADK environment. This allows your agent to process large-scale environmental data without leaving your existing infrastructure. Pair this with `get_pm25_sensors` to isolate high-risk areas. Your agent can react to specific PM2.5 thresholds as they update in the field.
Geographic sensor querying for Google ADK
Define your area of interest using `get_sensors_by_bounding_box` to pull sensor data for specific regions. This works natively within your Google ADK toolset to provide targeted insights for urban planning or health research. Need the closest reading? `get_sensors_near_me` identifies the most relevant hardware instantly. It keeps your agent's context window focused on the most accurate local measurements.
Time-series data for Google ADK
Fetch historical air quality records using `get_sensor_history` to analyze multi-day pollution trends. Your agent can process this historical context to inform long-term strategy or predictive modeling. Use `get_sensor_history_csv` if you need to export data for ingestion into BigQuery. It simplifies the bridge between your agent and your existing enterprise data lakes.
Set up PurpleAir 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 PurpleAir 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="PurpleAir_agent",
model="gemini-2.0-flash",
instruction="You have access to PurpleAir 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 PurpleAir. 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 PurpleAir MCP in Google ADK
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