How do I find my MeteoSource API Key?

Sign up for a free account at [**meteosource.com**](https://www.meteosource.com/), and you will find your API Key in your dashboard. Copy and paste it below.

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.

Are hourly forecasts included?

Yes. The `get_point_forecast` tool retrieves comprehensive weather metadata including current conditions, daily summaries, and hourly breakdowns.

MeteoSource MCP Server for VS Code Copilot 5 tools — connect in under 2 minutes

Name: MeteoSource
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 5 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install MeteoSource and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "meteosource": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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DLPData protection

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<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

GitHub Copilot Agent mode brings MeteoSource data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 5 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot via MCP

Follow these steps to integrate the MeteoSource MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using MeteoSource

Ask Copilot: "Using MeteoSource, help me...". 5 tools available

Why Use VS Code Copilot with the MeteoSource MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with MeteoSource through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

MeteoSource + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the MeteoSource MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

MeteoSource MCP Tools for VS Code Copilot (5)

These 5 tools become available when you connect MeteoSource to VS Code Copilot 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 VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot

Common issues when connecting MeteoSource to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

MeteoSource + VS Code Copilot FAQ

Common questions about integrating MeteoSource MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.