Open-Meteo Full Access MCP Server for Mastra AI 15 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Open-Meteo Full Access through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
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-full-access": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Open-Meteo Full Access Agent",
instructions:
"You help users interact with Open-Meteo Full Access " +
"using 15 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Open-Meteo Full Access?"
);
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 Full Access MCP Server
The definitive Mega-Server for weather and climate intelligence. Why install 7 servers when one does it all?
Mastra's agent abstraction provides a clean separation between LLM logic and Open-Meteo Full Access tool infrastructure. Connect 15 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
- Live Weather — 16-day forecast + current conditions for any GPS coordinate
- 84 Years of History — Hourly weather archives from 1940 to today
- Ocean Intelligence — Wave height, swell, currents, sea surface temperature at 5km
- Air Safety — PM2.5, PM10, O₃, pollen counts, European & US AQI
- Climate Future — IPCC projections to 2100 + ensemble probabilistic forecasts
- Flood Risk — GloFAS river discharge with 40 years of reanalysis + 7 months forward
- Location Tools — Global geocoding and 90m terrain elevation
The Open-Meteo Full Access MCP Server exposes 15 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 Full Access to Mastra AI via MCP
Follow these steps to integrate the Open-Meteo Full Access 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 15 tools from Open-Meteo Full Access via MCP
Why Use Mastra AI with the Open-Meteo Full Access MCP Server
Mastra AI provides unique advantages when paired with Open-Meteo Full Access through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Open-Meteo Full Access 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 Full Access 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 Full Access + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Open-Meteo Full Access MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Open-Meteo Full Access, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Open-Meteo Full Access 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 Full Access on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Open-Meteo Full Access tools alongside other MCP servers
Open-Meteo Full Access MCP Tools for Mastra AI (15)
These 15 tools become available when you connect Open-Meteo Full Access to Mastra AI via MCP:
get_air_quality
5, PM10, ozone, NO2, SO2, CO concentrations. Get air quality pollutant concentrations
get_aqi_index
Get AQI (European and US standards)
get_climate_projection
Get IPCC climate projections (2015–2100)
get_current_weather
Get current weather conditions
get_elevation
Get terrain elevation for any coordinates
get_ensemble_forecast
Get probabilistic multi-model ensemble forecast
get_flood_forecast
Get flood forecast up to 7 months ahead
get_historical_daily
Get historical daily aggregates
get_historical_weather
Covers 84 years. Get historical weather (1940–present)
get_marine_forecast
Get marine wave forecast at 5km resolution
get_ocean_currents
Get ocean currents and sea surface temperature
get_pollen_forecast
Get pollen and allergen forecast
get_river_discharge
Get river discharge data at 5km resolution
get_weather_forecast
Get weather forecast for any location (up to 16 days)
search_location
Search cities and locations globally
Example Prompts for Open-Meteo Full Access in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Open-Meteo Full Access immediately.
"Full weather briefing for a yacht trip from Lisbon to Madeira next week"
"Climate risk assessment for a new data center in Singapore"
"What was the weather like on the day I was born? July 15, 1990 in Rome"
Troubleshooting Open-Meteo Full Access MCP Server with Mastra AI
Common issues when connecting Open-Meteo Full Access to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOpen-Meteo Full Access + Mastra AI FAQ
Common questions about integrating Open-Meteo Full Access 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 Full Access 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 Open-Meteo Full Access to Mastra AI
Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.