"LibreOffice office suite software" matching MCP servers:

Enables LLMs and autonomous agents to access live global weather consensus, storm and seismic monitoring, space weather, webcam search, and tactical SITREP generation, plus sub-5ms local queries across 1M+ spatial sensor nodes in SQLite.

An AI-powered office assistant using LLM, RAG, and MCP tools to answer weather queries, retrieve information from documents, and automatically generate Excel and Word reports.

MCP server for Icelandic weather, forecasts, warnings, and earthquakes. Data comes from the Icelandic Meteorological Office.

Combines UK Met Office weather forecasts with travel routing to provide outfit recommendations for walking, cycling, or driving journeys.

Serves Open-Meteo weather forecasts from a standalone stdio MCP process, letting any MCP client fetch forecast data without importing the harness into the plugin process. It pairs this with a comparison suite that measures in-process plugin behavior against the signed MCP bridge, documenting isolation and trust-ladder evidence.

Provides a suite of utility tools for daily operations, including file format conversion, web page monitoring with change detection, Telegram polls, trading signals from Binance, weather alerts, and more. It includes retry/backoff handling, state persistence, and observability features.

62 live, cryptographically signed data tools for AI agents and robots: weather, natural hazards, flights, shipping, space, CVEs, sanctions, software versions, sea ice and more. Every datapoint carries source, licence, timestamp and an Ed25519 signature.

Enables users to check weather conditions using Open-Meteo's free API with GitHub OAuth authentication and personalized location management. Users can save custom location labels (like 'home' or 'office') and query weather using these convenient shortcuts.

Provides real-time weather forecasts for any global location using the UK Met Office DataHub API, with hourly, 3-hourly, and daily forecasts in Markdown or JSON.

Provides real-time hydrological data from Korea's Flood Control Office via MCP protocol, optimized for AI assistants with features to prevent infinite loop calls and standardize data structures.