Open-Meteo Historical Weather MCP Server for Mastra AI 3 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Open-Meteo Historical Weather through 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-historical-weather": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Open-Meteo Historical Weather Agent",
instructions:
"You help users interact with Open-Meteo Historical Weather " +
"using 3 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Open-Meteo Historical Weather?"
);
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 Historical Weather MCP Server
Access 84 years of continuous weather records from 1940 to today for any location on Earth.
Mastra's agent abstraction provides a clean separation between LLM logic and Open-Meteo Historical Weather tool infrastructure. Connect 3 tools through 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
- Historical Hourly — Temperature, humidity, precipitation, snowfall, weather codes, and wind for any past date range
- Historical Daily — Max/min temperatures, precipitation totals, sunshine duration, and dominant wind patterns
- Temperature Trends — Dedicated tool for long-term climate trend analysis with apparent temperature data
The Open-Meteo Historical Weather MCP Server exposes 3 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 Historical Weather to Mastra AI via MCP
Follow these steps to integrate the Open-Meteo Historical Weather 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 3 tools from Open-Meteo Historical Weather via MCP
Why Use Mastra AI with the Open-Meteo Historical Weather MCP Server
Mastra AI provides unique advantages when paired with Open-Meteo Historical Weather through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Open-Meteo Historical Weather 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 Historical Weather 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 Historical Weather + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Open-Meteo Historical Weather MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Open-Meteo Historical Weather, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Open-Meteo Historical Weather 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 Historical Weather on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Open-Meteo Historical Weather tools alongside other MCP servers
Open-Meteo Historical Weather MCP Tools for Mastra AI (3)
These 3 tools become available when you connect Open-Meteo Historical Weather to Mastra AI via MCP:
get_historical_daily
Get historical daily weather aggregates
get_historical_temperature
Includes hourly temperature, apparent temperature, and dewpoint. Get historical temperature trends for climate analysis
get_historical_weather
Provide latitude, longitude, start_date and end_date in YYYY-MM-DD format. Covers 84 years of global data. Get historical weather for any date range (1940–present)
Example Prompts for Open-Meteo Historical Weather in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Open-Meteo Historical Weather immediately.
"What was the weather in London on D-Day, June 6, 1944?"
"Compare average temperatures in São Paulo between 1950 and 2020"
"How much rain fell in Mumbai during the 2005 flood?"
Troubleshooting Open-Meteo Historical Weather MCP Server with Mastra AI
Common issues when connecting Open-Meteo Historical Weather to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOpen-Meteo Historical Weather + Mastra AI FAQ
Common questions about integrating Open-Meteo Historical Weather 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 Historical Weather with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Historical Weather to Mastra AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.