Integrate MeteoSource with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCheck api status on MeteoSource
Check if the MeteoSource service is operational
Get nearest weather place on MeteoSource
Find the nearest monitored place by latitude and longitude
Get place timezone on MeteoSource
Get timezone information for a specific place_id
Get point forecast on MeteoSource
Get weather forecast for a specific place_id
Search weather places on MeteoSource
Search for a place by name to get its place_id for forecasts
Security & Code Integrity Audit
Every tool in the MeteoSource MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does it support location search by name?
Yes. Use the search_weather_places tool providing the city or place name. Your agent will return the unique place_id required for forecasts.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
MeteoSource Capabilities for AI Assistants
Use MeteoSource with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
Streamlining weather forecast
The MeteoSource integration exposes LLM-friendly schemas for weather forecast. Tools like Cursor can map natural language directly into executable data analytics commands.
Execute hyper local data Commands with AI
The MeteoSource MCP translates LLM intent into specific hyper local data actions. Agents like Cursor use this to interface securely with your data analytics infrastructure.
MeteoSource. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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