Google Air Quality MCP Server for Windsurf 2 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Google Air Quality through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Google Air Quality and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"google-air-quality": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Google Air Quality MCP Server
Equip your AI agent with hyper-local environmental intelligence through the Google Air Quality MCP server. This integration provides real-time access to accurate air quality indexes, detailed pollutant concentrations, and actionable health recommendations for specific coordinates. Powered by Google's massive environmental data layer, your agent can retrieve the Universal Air Quality Index (UAQI), identify dominant pollutants (PM2.5, NO2, etc.), and access up to 30 days of historical data. Whether you are building health-tracking tools, planning outdoor events, or researching urban pollution, your agent acts as a dedicated environmental consultant through natural conversation.
Windsurf's Cascade agent chains multiple Google Air Quality tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 2 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Real-time AQI Lookup — Get the current Universal Air Quality Index for any latitude/longitude.
- Pollutant Breakdown — Identify dominant pollutants and their concentrations in specific areas.
- Historical Auditing — Retrieve up to 720 hours of historical air quality data for trend analysis.
- Health Advice — Access tailored recommendations for children, elderly, and sensitive groups.
The Google Air Quality MCP Server exposes 2 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Google Air Quality to Windsurf via MCP
Follow these steps to integrate the Google Air Quality MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Google Air Quality
Open Cascade and ask: "Using Google Air Quality, help me..." — 2 tools available
Why Use Windsurf with the Google Air Quality MCP Server
Windsurf provides unique advantages when paired with Google Air Quality through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 2 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Google Air Quality + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Google Air Quality MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Google Air Quality and generate models, types, or handlers based on real API responses
Live debugging: query Google Air Quality tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Google Air Quality and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Google Air Quality data with Cascade's code generation to scaffold entire features in minutes
Google Air Quality MCP Tools for Windsurf (2)
These 2 tools become available when you connect Google Air Quality to Windsurf via MCP:
get_air_quality_history
Get historical air quality data
get_current_air_quality
Get current air quality using Google Maps API
Example Prompts for Google Air Quality in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Google Air Quality immediately.
"What is the air quality in San Francisco right now?"
"Show me the air quality history for Tokyo for the last 24 hours."
"Are there any health warnings for Beijing today?"
Troubleshooting Google Air Quality MCP Server with Windsurf
Common issues when connecting Google Air Quality to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Google Air Quality + Windsurf FAQ
Common questions about integrating Google Air Quality MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Google Air Quality with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Google Air Quality to Windsurf
Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.