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Vinkius runs on Google ADK

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.

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Works with every AI agent you already use

…and any MCP-compatible client

PurpleAir MCP on Cursor AI Code Editor MCP Client PurpleAir MCP on Claude Desktop App MCP Integration PurpleAir MCP on OpenAI Agents SDK MCP Compatible PurpleAir MCP on Visual Studio Code MCP Extension Client PurpleAir MCP on GitHub Copilot AI Agent MCP Integration PurpleAir MCP on Google Gemini AI MCP Integration PurpleAir MCP on Lovable AI Development MCP Client PurpleAir MCP on Mistral AI Agents MCP Compatible PurpleAir MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Google ADK

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.

GDPR Included with Plan

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.

Setup guide

Set up PurpleAir 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 PurpleAir 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="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.

Why Choose Vinkius

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Real-time monitoring

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Single dashboard

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place for every integration

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Common questions about PurpleAir MCP in Google ADK

Yes, you can register the full toolset using the McpToolset class. This gives your Google ADK agents full access to both real-time metrics and historical CSV exports.
You can use the tool_names filter when initializing the McpToolset. This ensures your Google ADK agent only sees the specific sensors or history tools you authorize.
Absolutely. Since the server runs as an MCP endpoint, your Google ADK agents can connect to it securely from your cloud environment to fetch live air quality updates.
The server responds in real-time to your requests. However, you should cache frequent sensor queries within your Google ADK logic to minimize unnecessary API calls.
The server only accesses public environmental readings from the PurpleAir network. Your Google ADK agent never handles personal identity data or private sensor ownership information.

Start using the PurpleAir MCP today

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