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QWeather / 和风天气 MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

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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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Classic Setup·json
{
  "mcpServers": {
    "qweather": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
QWeather / 和风天气
Fully ManagedVinkius Servers
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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 QWeather / 和风天气 MCP Server

Empower your AI agent to orchestrate your daily planning and environmental monitoring with QWeather (和风天气), the premier commercial weather platform in China. By connecting QWeather to your agent, you transform complex meteorological data and location-based environmental searches into a natural conversation. Your agent can instantly retrieve real-time weather, 15-day forecasts, air quality indices, severe weather warnings, and astronomical data without you ever needing to navigate a technical dashboard. Whether you are planning outdoor operations or auditing air quality across different regions, your agent acts as a real-time environmental consultant, providing accurate and fast results from a single, unified source.

GitHub Copilot Agent mode brings QWeather / 和风天气 data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Weather Orchestration — Retrieve current weather and detailed forecasts (up to 15 days) for any location worldwide.
  • Air Quality Auditing — Monitor real-time AQI, PM2.5, and PM10 levels to ensure safe operating conditions.
  • Life Index Insights — Access specialized indices for UV radiation, clothing recommendations, and car washing suitability.
  • Warning Monitoring — Audit active severe weather warnings to maintain safety and organizational continuity.
  • Geographic Discovery — Search for location IDs and coordinates using keywords to refine your regional tracking.

The QWeather / 和风天气 MCP Server exposes 10 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 QWeather / 和风天气 to VS Code Copilot via MCP

Follow these steps to integrate the QWeather / 和风天气 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 QWeather / 和风天气

Ask Copilot: "Using QWeather / 和风天气, help me...". 10 tools available

Why Use VS Code Copilot with the QWeather / 和风天气 MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with QWeather / 和风天气 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

QWeather / 和风天气 + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the QWeather / 和风天气 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

QWeather / 和风天气 MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect QWeather / 和风天气 to VS Code Copilot via MCP:

01

get_air_now

5, etc.). Get current air quality

02

get_indices

Get daily life indices

03

get_moon_astronomy

Get moonrise and moonset times

04

get_sun_astronomy

Get sunrise and sunset times

05

get_warning

Get weather warnings

06

get_weather_24h

Get 24-hour weather forecast

07

get_weather_3d

Get 3-day weather forecast

08

get_weather_7d

Get 7-day weather forecast

09

get_weather_now

Get current weather

10

lookup_location

Search for location ID

Example Prompts for QWeather / 和风天气 in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with QWeather / 和风天气 immediately.

01

"What is the current weather in Beijing (101010100)?"

02

"Check the air quality for Shanghai today."

03

"Find the location ID for 'Hangzhou'."

Troubleshooting QWeather / 和风天气 MCP Server with VS Code Copilot

Common issues when connecting QWeather / 和风天气 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.

QWeather / 和风天气 + VS Code Copilot FAQ

Common questions about integrating QWeather / 和风天气 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 QWeather / 和风天气 to VS Code Copilot

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.