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Weather MCP Server

by isdanielversion 0.6.1i★ –iRuns on your computer
Registry nameio.github.isdaniel/mcp_weather_server

Install

Overview

Description from the maker (original English)

providing weather information, air quality data, and timezone utilities using the Open-Meteo API.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "weather": {
      "command": "uvx",
      "args": [
        "mcp-weather-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add weather -- uvx mcp-weather-server

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "weather": {
      "command": "uvx",
      "args": [
        "mcp-weather-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "weather": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-weather-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account isdaniel, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32691 servers in this category
  • Published to the registry more recently than 1% of the other 32691 servers in this category
  • Basic checks equal to or better than 100% of the other 32691 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Weather MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.6.1) reached the registry 11 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Dialyne

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

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Dialyne

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Weather MCP Server

mcp-name: io.github.isdaniel/mcp_weather_server

A Model Context Protocol (MCP) server that provides weather information using the Open-Meteo API. This server supports multiple transport modes: standard stdio, HTTP Server-Sent Events (SSE), and the new Streamable HTTP protocol for web-based integration.

Features

Weather & Air Quality
  • Get current weather information with comprehensive metrics:
  • Temperature, humidity, dew point
  • Wind speed, direction, and gusts
  • Precipitation (rain/snow) and probability
  • Atmospheric pressure and cloud cover
  • UV index and visibility
  • "Feels like" temperature
  • Sunrise and sunset times (local time at the location)
  • Get weather data for a date range with hourly details and daily sunrise/sunset times
  • Get air quality information including:
  • PM2.5 and PM10 particulate matter
  • Ozone, nitrogen dioxide, carbon monoxide
  • Sulfur dioxide, ammonia, dust
  • Aerosol optical depth
  • Health advisories and recommendations
Time & Timezone
  • Get current date/time in any timezone
  • Convert time between timezones
  • Get timezone information
Transport Modes
  • Multiple transport modes:
  • stdio - Standard MCP for desktop clients (Claude Desktop, etc.)
  • SSE - Server-Sent Events for web applications
  • streamable-http - Modern MCP Streamable HTTP protocol with stateful/stateless options
  • RESTful API endpoints via Starlette integration

Installation

Installing via Smithery

To install Weather MCP Server automatically via Smithery:

npx -y @smithery/cli install @isdaniel/mcp_weather_server
Standard Installation (for MCP clients like Claude Desktop)

This package can be installed using pip:

pip install mcp_weather_server
Manual Configuration for MCP Clients

This server is designed to be installed manually by adding its configuration to the cline_mcp_settings.json file.

  1. Add the following entry to the mcpServers object in your cline_mcp_settings.json file:
{

"mcpServers": { "weather": { "command": "python", "args": [ "-m", "mcp_weather_server" ], "disabled": false, "autoApprove": [] } } }

  1. Save the cline_mcp_settings.json file.
HTTP Server Installation (for web applications)

For HTTP SSE or Streamable HTTP support, you'll need additional dependencies:

pip install mcp_weather_server starlette uvicorn

Server Modes

This MCP server supports stdio, SSE, and streamable-http modes in a single unified server:

Mode Comparison
FeaturestdioSSEstreamable-http
Use CaseDesktop MCP clientsWeb applications (legacy)Web applications (modern)
ProtocolStandard I/O streamsServer-Sent EventsMCP Streamable HTTP
Session ManagementN/AStatefulStateful or Stateless
EndpointsN/A/sse, /messages//mcp (single)
Best ForClaude Desktop, ClineBrowser-based appsModern web apps, APIs
State OptionsN/AStateful onlyStateful or Stateless
1. Standard MCP Mode (Default)

The standard mode communicates via stdio and is compatible with MCP clients like Claude Desktop.

# Default mode (stdio)

python -m mcp_weather_server

Explicitly specify stdio mode

python -m mcp_weather_server.server --mode stdio

2. HTTP SSE Mode (Web Applications)

The SSE mode runs an HTTP server that provides MCP functionality via Server-Sent Events, making it accessible to web applications.

# Start SSE server on default host/port (0.0.0.0:8080)

python -m mcp_weather_server --mode sse

Specify custom host and port

python -m mcp_weather_server --mode sse --host localhost --port 3000

Enable debug mode

python -m mcp_weather_server --mode sse --debug

SSE Endpoints:

  • GET /sse - SSE endpoint for MCP communication
  • POST /messages/ - Message endpoint for sending MCP requests
3. Streamable HTTP Mode (Modern MCP Protocol)

The streamable-http mode implements the new MCP Streamable HTTP protocol with a single /mcp endpoint. This mode supports both stateful (default) and stateless operations.

# Start streamable HTTP server on default host/port (0.0.0.0:8080)

python -m mcp_weather_server --mode streamable-http

Specify custom host and port

python -m mcp_weather_server --mode streamable-http --host localhost --port 3000

Enable stateless mode (creates fresh transport per request, no session tracking)

python -m mcp_weather_server --mode streamable-http --stateless

Enable debug mode

python -m mcp_weather_server --mode streamable-http --debug

Streamable HTTP Features:

  • Stateful mode (default): Maintains session state across requests using session IDs
  • Stateless mode: Creates fresh transport per request with no session tracking
  • Single endpoint: All MCP communication happens through /mcp
  • Modern protocol: Implements the latest MCP Streamable HTTP specification

Streamable HTTP Endpoint:

  • POST /mcp - Single endpoint for all MCP communication (initialize, tools/list, tools/call, etc.)

Command Line Options:

--mode {stdio,sse,streamable-http}  Server mode: stdio (default), sse, or streamable-http

--host HOST Host to bind to (HTTP modes only, default: 0.0.0.0) --port PORT Port to listen on (HTTP modes only, default: 8080) --stateless Run in stateless mode (streamable-http only) --debug Enable debug mode

Example SSE Usage:

// Connect to SSE endpoint

const eventSource = new EventSource('http://localhost:8080/sse');

// Send MCP tool request fetch('http://localhost:8080/messages/', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ type: 'tool_call', tool: 'get_weather', arguments: { city: 'Tokyo' } }) });

Example Streamable HTTP Usage:

// Initialize session and call tool using Streamable HTTP protocol

async function callWeatherTool() { const response = await fetch('http://localhost:8080/mcp', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ jsonrpc: '2.0', method: 'tools/call', params: { name: 'get_current_weather', arguments: { city: 'Tokyo' } }, id: 1 }) });

const result = await response.json(); console.log(result); }

Configuration

This server does not require an API key. It uses the Open-Meteo API, which is free and open-source.

Usage

This server provides several tools for weather and time-related operations:

Available Tools
Weather Tools
  1. `get_current_weather` - Get current weather for a city with comprehensive metrics
  2. `get_weather_by_datetime_range` - Get weather data for a date range with hourly details
  3. `get_weather_details` - Get detailed weather information as structured JSON data
Air Quality Tools
  1. `get_air_quality` - Get air quality information with pollutant levels and health advice
  2. `get_air_quality_details` - Get detailed air quality data as structured JSON
Time & Timezone Tools
  1. `get_current_datetime` - Get current time in any timezone
  2. `get_timezone_info` - Get timezone information
  3. `convert_time` - Convert time between timezones
Tool Details
get_current_weather

Retrieves comprehensive current weather information for a given city with enhanced metrics.

Parameters:

  • city (string, required): The name of the city (English names only)

Returns: Detailed weather data including:

  • Temperature and "feels like" temperature
  • Humidity, dew point
  • Wind speed, direction (as compass direction), and gusts
  • Precipitation details (rain/snow) and probability
  • Atmospheric pressure and cloud cover
  • UV index with warning levels
  • Visibility

Example Response:

The weather in Tokyo is Mainly clear with a temperature of 22.5°C (feels like 21.0°C),

relative humidity at 65%, and dew point at 15.5°C. Wind is blowing from the NE at 12.5 km/h with gusts up to 18.5 km/h. Atmospheric pressure is 1013.2 hPa with 25% cloud cover. UV index is 5.5 (Moderate). Visibility is 10.0 km.

get_weather_by_datetime_range

Retrieves hourly weather information with comprehensive metrics for a specified city between start and end dates.

Parameters:

  • city (string, required): The name of the city (English names only)
  • start_date (string, required): Start date in format YYYY-MM-DD (ISO 8601)
  • end_date (string, required): End date in format YYYY-MM-DD (ISO 8601)

Returns: Comprehensive weather analysis including:

  • Hourly weather data with all enhanced metrics
  • Temperature trends (highs, lows, averages)
  • Precipitation patterns and probabilities
  • Wind conditions assessment
  • UV index trends
  • Weather warnings and recommendations

Example Response:

[Analysis of weather trends over 2024-01-01 to 2024-01-07]
  • Temperature ranges from 5°C to 15°C
  • Precipitation expected on Jan 3rd and 5th (60% probability)
  • Wind speeds averaging 15 km/h from SW direction
  • UV index moderate (3-5) throughout the period
  • Recommendation: Umbrella needed for midweek
get_weather_details

Get detailed weather information for a specified city as structured JSON data for programmatic use.

Parameters:

  • city (string, required): The name of the city (English names only)

Returns: Raw JSON data with all weather metrics suitable for processing and analysis

get_air_quality

Get current air quality information for a specified city with pollutant levels and health advisories.

Parameters:

  • city (string, required): The name of the city (English names only)
  • variables (array, optional): Specific pollutants to retrieve. Options:
  • pm10 - Particulate matter ≤10μm
  • pm2_5 - Particulate matter ≤2.5μm
  • carbon_monoxide - CO levels
  • nitrogen_dioxide - NO2 levels
  • ozone - O3 levels
  • sulphur_dioxide - SO2 levels
  • ammonia - NH3 levels
  • dust - Dust particle levels
  • aerosol_optical_depth - Atmospheric turbidity

Returns: Comprehensive air quality report including:

  • Current pollutant levels with units
  • Air quality classification (Good/Moderate/Unhealthy/Hazardous)
  • Health recommendations for general population
  • Specific warnings for sensitive groups
  • Comparison with WHO and EPA standards

Example Response:

Air quality in Beijing (lat: 39.90, lon: 116.41):

PM2.5: 45.3 μg/m³ (Unhealthy for Sensitive Groups) PM10: 89.2 μg/m³ (Moderate) Ozone (O3): 52.1 μg/m³ Nitrogen Dioxide (NO2): 38.5 μg/m³ Carbon Monoxide (CO): 420.0 μg/m³

Health Advice: Sensitive groups (children, elderly, people with respiratory conditions) should limit outdoor activities.

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