MeteoSource MCP Server for Mastra AI 5 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect MeteoSource 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: {
"meteosource": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "MeteoSource Agent",
instructions:
"You help users interact with MeteoSource " +
"using 5 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with MeteoSource?"
);
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 MeteoSource MCP Server
Empower your AI agent to orchestrate your entire meteorological research and weather auditing workflow with MeteoSource, the comprehensive source for hyper-local weather data. By connecting the MeteoSource API to your agent, you transform complex forecast searches into a natural conversation. Your agent can instantly search for monitored places, audit daily and hourly forecasts, and retrieve timezone metadata without you ever touching a weather portal. Whether you are planning outdoor events or conducting regional climate audits, your agent acts as a real-time meteorological consultant, ensuring your data is always precise and localized.
Mastra's agent abstraction provides a clean separation between LLM logic and MeteoSource tool infrastructure. Connect 5 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
- Place Auditing — Search for thousands of global locations and retrieve high-resolution place IDs and geographic metadata.
- Forecast Oversight — Audit comprehensive point forecasts, including current conditions, daily summaries, and hourly breakdowns.
- Geographic Discovery — Find the nearest monitored place by latitude and longitude to maintain strict organizational control over local data.
- Temporal Intelligence — Query timezone information for specific places to assist in time-sensitive logistics and event planning.
- Operational Monitoring — Check API status to ensure your meteorological research workflow is always operational.
The MeteoSource MCP Server exposes 5 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 MeteoSource to Mastra AI via MCP
Follow these steps to integrate the MeteoSource 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 5 tools from MeteoSource via MCP
Why Use Mastra AI with the MeteoSource MCP Server
Mastra AI provides unique advantages when paired with MeteoSource through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add MeteoSource 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 MeteoSource 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
MeteoSource + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the MeteoSource MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query MeteoSource, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed MeteoSource as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query MeteoSource on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using MeteoSource tools alongside other MCP servers
MeteoSource MCP Tools for Mastra AI (5)
These 5 tools become available when you connect MeteoSource to Mastra AI via MCP:
check_api_status
Check if the MeteoSource service is operational
get_nearest_weather_place
Find the nearest monitored place by latitude and longitude
get_place_timezone
Get timezone information for a specific place_id
get_point_forecast
Get weather forecast for a specific place_id
search_weather_places
Search for a place by name to get its place_id for forecasts
Example Prompts for MeteoSource in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with MeteoSource immediately.
"Get weather forecast for 'London' using MeteoSource."
"Search for weather station near latitude 48.8566 and longitude 2.3522."
"What is the timezone for place 'tokyo'?"
Troubleshooting MeteoSource MCP Server with Mastra AI
Common issues when connecting MeteoSource to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpMeteoSource + Mastra AI FAQ
Common questions about integrating MeteoSource 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 MeteoSource 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 MeteoSource to Mastra AI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.