Open-Meteo Air Quality MCP Server for Mastra AI 4 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Open-Meteo Air Quality through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"open-meteo-air-quality": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Open-Meteo Air Quality Agent",
instructions:
"You help users interact with Open-Meteo Air Quality " +
"using 4 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Open-Meteo Air Quality?"
);
console.log(result.text);
}
main();
* 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 Open-Meteo Air Quality MCP Server
Give your AI the power to assess air safety with real-time pollutant data at 11km resolution.
Mastra's agent abstraction provides a clean separation between LLM logic and Open-Meteo Air Quality tool infrastructure. Connect 4 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Pollutant Concentrations — PM2.5, PM10, O₃, NO₂, SO₂, CO, dust, and ammonia in μg/m³
- AQI Indexes — Both European (0-100+) and US (0-500) Air Quality Indexes with per-pollutant breakdowns
- Pollen Forecast — Birch, grass, alder, ragweed, olive, and mugwort pollen counts for allergy planning
- UV Index — Clear-sky and actual UV index for sun exposure safety
The Open-Meteo Air Quality MCP Server exposes 4 tools through the Vinkius. Connect it to Mastra AI 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 Open-Meteo Air Quality to Mastra AI via MCP
Follow these steps to integrate the Open-Meteo Air Quality MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 4 tools from Open-Meteo Air Quality via MCP
Why Use Mastra AI with the Open-Meteo Air Quality MCP Server
Mastra AI provides unique advantages when paired with Open-Meteo Air Quality through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Open-Meteo Air Quality without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Open-Meteo Air Quality tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Open-Meteo Air Quality + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Open-Meteo Air Quality MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Open-Meteo Air Quality, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Open-Meteo Air Quality as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Open-Meteo Air Quality on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Open-Meteo Air Quality tools alongside other MCP servers
Open-Meteo Air Quality MCP Tools for Mastra AI (4)
These 4 tools become available when you connect Open-Meteo Air Quality to Mastra AI via MCP:
get_air_quality
5, PM10, ozone, nitrogen dioxide, sulphur dioxide, and carbon monoxide concentrations for any location. Get air quality pollutant concentrations
get_aqi_index
Get Air Quality Index (European and US standards)
get_pollen_forecast
Get pollen and allergen forecast
get_uv_index
Get UV index forecast
Example Prompts for Open-Meteo Air Quality in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Open-Meteo Air Quality immediately.
"Is the air quality in Beijing safe for outdoor exercise today?"
"What's the pollen forecast for Berlin this week?"
"What's the UV index in Sydney right now?"
Troubleshooting Open-Meteo Air Quality MCP Server with Mastra AI
Common issues when connecting Open-Meteo Air Quality to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOpen-Meteo Air Quality + Mastra AI FAQ
Common questions about integrating Open-Meteo Air Quality MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Open-Meteo 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.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 Open-Meteo Air Quality to Mastra AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.