2,500+ MCP servers ready to use
Vinkius

Open-Meteo MCP Server for VS Code Copilot 5 tools — connect in under 2 minutes

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.

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

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

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "open-meteo": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Open-Meteo
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<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 Open-Meteo MCP Server

Connect to Open-Meteo and access global weather forecasts through natural conversation — no API key needed.

GitHub Copilot Agent mode brings Open-Meteo 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

  • Current Weather — Get real-time temperature, humidity, wind, precipitation and conditions
  • 7-Day Forecast — Hourly and daily forecasts up to 16 days ahead with 50+ weather variables
  • Historical Weather — Access archived weather data going back to 1940 for any location
  • Air Quality — Get PM2.5, PM10, NO2, O3, SO2, CO and UV index forecasts
  • Geocoding — Find coordinates for any city or place name
  • Elevation — Get elevation data for any coordinates

The Open-Meteo 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 Open-Meteo to VS Code Copilot via MCP

Follow these steps to integrate the Open-Meteo MCP Server with VS Code Copilot.

01

Create MCP config

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

02

Add the server config

Paste the JSON configuration above

03

Enable Agent mode

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

04

Start using Open-Meteo

Ask Copilot: "Using Open-Meteo, help me...". 5 tools available

Why Use VS Code Copilot with the Open-Meteo MCP Server

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

01

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

02

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

03

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

04

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

Open-Meteo + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Open-Meteo MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Open-Meteo MCP Tools for VS Code Copilot (5)

These 5 tools become available when you connect Open-Meteo to VS Code Copilot via MCP:

01

get_air_quality

5, PM10, nitrogen dioxide, ozone, sulphur dioxide, carbon monoxide, dust, pollen and UV index. Requires latitude and longitude. Returns hourly data for up to 7 days. Common variables: pm2_5, pm10, nitrogen_dioxide, ozone, sulphur_dioxide, carbon_monoxide, dust, uv_index, alder_pollen, grass_pollen. Get air quality forecast for a location

02

get_elevation

Useful for hiking, aviation and geographic research. Get elevation for coordinates

03

get_forecast

Requires latitude and longitude. Supports hourly, daily and current weather variables. Common variables: temperature_2m, relative_humidity_2m, precipitation, rain, snowfall, wind_speed_10m, wind_direction_10m, wind_gusts_10m, weather_code, cloud_cover, pressure_msl, uv_index, visibility, apparent_temperature, dew_point_2m, sunshine_duration. Set past_days to include historical data (0-92 days). Set forecast_days for forecast length (0-16 days, default 7). Timezone defaults to GMT; use "auto" for local timezone. Get weather forecast for a location

04

get_geocoding

Useful for finding coordinates to use with weather tools. Returns up to 10 results by default. Find coordinates for a place name

05

get_historical_weather

Requires latitude, longitude, start date and end date (YYYY-MM-DD format). Supports the same hourly variables as the forecast API. Historical data goes back to 1940 for most locations. Use get_geocoding to find coordinates for a city name. Get historical weather data for a location

Example Prompts for Open-Meteo in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Open-Meteo immediately.

01

"What's the weather forecast for São Paulo this week?"

02

"What was the temperature in Tokyo on July 15, 2024?"

03

"What's the air quality in Beijing right now?"

Troubleshooting Open-Meteo MCP Server with VS Code Copilot

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

01

MCP tools not available

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

Open-Meteo + VS Code Copilot FAQ

Common questions about integrating Open-Meteo MCP Server with VS Code Copilot.

01

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.
02

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.
03

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.
04

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.

Connect Open-Meteo to VS Code Copilot

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.