"WEMO" matching MCP servers:

Enables AI agents to drive the kepler.gl demo map by loading data, adding and recoloring layers, changing basemaps, applying time filters, and toggling split views through MCP.

A server that enables AI models to access user geolocation information via EdgeOne Pages Functions through the Model Context Protocol.

Serves public water depth readings as JSON, exposing the data through an MCP-compatible API.

Exposes weather data from the free Open-Meteo API via decorator-driven MCP tools with Zod schemas, supporting stdio and HTTP transports.

Enables AI agents to search for stock photography based on current location and weather conditions using the Shutterstock API.

A FastMCP-based weather query tool using Open-Meteo API to get real-time weather by city name or coordinates, requiring no API key.

This MCP server provides tools to get current weather, forecasts, and weather alerts from the US National Weather Service via REST APIs, enabling AI agents to query live weather data.

Enables AI agents like GitHub Copilot to retrieve real-time weather data for any city using the Open-Meteo API, no API key required.

An MCP-based project that integrates Zhipu AI and Tencent Map APIs to provide weather queries, geocoding, and web search functionality through both command-line and web interfaces.

Enables interaction with Google Maps services through the Model Context Protocol. Provides location-based functionality and mapping capabilities for AI agents.

基于高德天气API的MCP服务器，可通过adcode查询实时天气和未来3天预报。

Enables Claude to ask questions about your fleet data via the Geotab ACE AI service, with support for multi-account authentication, async queries, and DuckDB caching for large datasets.

A Streamable HTTP MCP server backed by Open-Meteo, plus the prompt and registration metadata for a Databricks Agent Bricks weather agent.