How much does Weather MCP cost?

Weather MCP uses a free pricing model.

What are the main advantages of Weather MCP?

No API key or user registration required for immediate use. Comprehensive data points including air quality, UV index, and visibility. Supports multiple transport protocols (stdio, SSE, and Streamable HTTP). Built-in timezone conversion and time-aware tools for complex workflows. High performance with documented low latency and high uptime.

What are the drawbacks of Weather MCP?

Limited to data provided by Open-Meteo, lacking secondary provider verification. Requires a local Python environment and manual configuration for desktop clients. Lacks advanced commercial features like severe weather alerts or rain-start 'nowcasting'.

What are the best alternatives to Weather MCP?

Alternatives to Weather MCP in this category include Linkup, Google Sheets, Slack, Gmail, AgentMail.

Weather MCP

Unclaimed verified 26 jul 2026

[ score · 27 ]

Pricing: Free Last verified: 2026-07-26

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Updated Jul 29, 2026

TL;DR

Weather MCP is a free, open-source Model Context Protocol (MCP) server that grants AI agents real-time access to global weather and air quality data without requiring an API key. Built on the Open-Meteo API, it serves as a lightweight, 'no-friction' utility for developers to add environmental context to LLMs like Claude and Cursor.

What Users Actually Pay

No user-reported pricing yet.

Our Take

Weather MCP stands as a foundational utility in the emerging Model Context Protocol ecosystem, distinguishing itself through extreme accessibility. While most weather integrations require developers to navigate API registrations and secret management, this project leverages public data to offer a 'plug-and-play' experience that is effectively the 'Hello World' of MCP tools. Its inclusion of air quality metrics and timezone conversion tools makes it more than just a basic data fetcher; it provides a comprehensive environmental context for autonomous agents. The project's main strength lies in its versatility, supporting multiple transport modes such as stdio for desktop use and SSE/HTTP for web-based integration. However, users should be aware that it relies exclusively on Open-Meteo, which, while highly reliable, may lack the hyper-local precision and advanced alerts found in premium services like Weather Underground or Apple Weather. It is best suited for power users of AI coding assistants and developers building personal AI workflows who prioritize speed of setup over commercial-grade meteorological depth. Technically, the server is robustly implemented in Python and well-maintained. It demonstrates the true potential of the MCP standard: bridging the gap between static LLMs and live, real-world data with zero cost and minimal configuration overhead.

Alternatives

Ranked by Revuo score — paid tiers never affect order.

Linkup

Google Sheets

Slack

Gmail

AgentMail

GitHub

Pros

+ No API key or user registration required for immediate use
+ Comprehensive data points including air quality, UV index, and visibility
+ Supports multiple transport protocols (stdio, SSE, and Streamable HTTP)
+ Built-in timezone conversion and time-aware tools for complex workflows
+ High performance with documented low latency and high uptime

Cons

- Limited to data provided by Open-Meteo, lacking secondary provider verification
- Requires a local Python environment and manual configuration for desktop clients
- Lacks advanced commercial features like severe weather alerts or rain-start 'nowcasting'

Agent Readiness

46/100

Weather MCP is highly 'agent-ready' specifically for the Model Context Protocol (MCP) standard. While it lacks traditional SaaS integrations like Zapier, it is natively designed to be consumed by autonomous AI agents. Its support for multiple transport layers (stdio for local, HTTP for web) and its no-auth model make it one of the easiest weather tools to integrate into a modern AI agentic stack.

API Surface85

Public APIJSON-RPCRESTSSEFree Tiernone

Protocol Support0

SDK Availability70

npm: weather-mcp-servernpm: @iflow-mcp/weather-mcpnpm: @dangahagan/weather-mcpnpm: weather-mcp-server-swiftnpm: aviation-weather-mcpnpm: news-weather-mcppypi: weather-mcp

Integration Ecosystem25

WebhooksClaude DesktopCursorVS Code (Roo Code/Cline)Smithery.aiLobeChat

Developer Experience45

Docs: goodChangelog

Last checked May 12, 2026

MCP Integrations

1 server8 tools3,933 total uses

Weather MCP Serverisdaniel/mcp_weather_server

smitheryRemoteHigh match

Retrieve real-time weather information effortlessly for any city. Get accurate weather updates using a simple command or API call without needing an API key. Enhance your applications with reliable weather data from the Open-Meteo API.

3,933 uses

8 tools

get_current_weatherGet current weather information for a specified city. It extracts the current hour's temperature and weather code, maps the weather code to a human-readable description, and returns a formatted summary.
get_weather_byDateTimeRangeGet weather information for a specified city between start and end dates.
get_weather_detailsGet detailed weather information for a specified city as structured JSON data. This tool provides raw weather data for programmatic analysis and processing.
get_current_datetimeGet current time in specified timezone.
get_timezone_infoGet information about a specific timezone including current time and UTC offset.
convert_timeConvert time from one timezone to another.
get_air_qualityGet air quality information for a specified city including PM2.5, PM10, ozone, nitrogen dioxide, carbon monoxide, and other pollutants. Provides health advisories based on current air quality levels.
get_air_quality_detailsGet detailed air quality information for a specified city as structured JSON data. This tool provides raw air quality data for programmatic analysis and processing.