Google Air Quality MCP Server for VS Code Copilot 2 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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{
"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.
GitHub Copilot Agent mode brings Google Air Quality data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 2 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the 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 VS Code Copilot 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 VS Code Copilot via MCP
Follow these steps to integrate the Google Air Quality MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using Google Air Quality
Ask Copilot: "Using Google Air Quality, help me..." — 2 tools available
Why Use VS Code Copilot with the Google Air Quality MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Google Air Quality through the Model Context Protocol.
VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Google Air Quality + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Google Air Quality MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
Google Air Quality MCP Tools for VS Code Copilot (2)
These 2 tools become available when you connect Google Air Quality to VS Code Copilot 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 VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot
Common issues when connecting Google Air Quality to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Google Air Quality + VS Code Copilot FAQ
Common questions about integrating Google Air Quality MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.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 VS Code Copilot
Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.
