"Windows Performance Toolkit and xperf.exe" matching MCP servers:

An MCP server exposing three tools — a read-only PostgreSQL commerce database, a live weather API, and a calculator — behind a real MCP protocol client/server boundary. It enables natural-language questions that combine database and weather data, with real-time streaming of tool calls and model error recovery.

A local MCP server that integrates FastMCP with OpenAI to enable natural language queries for current weather, forecasts, and currency conversion using ExchangeRate-API and Open-Meteo.

Enables Claude to query a local SQLite database read-only, search and read files within a sandboxed directory, and get current weather and forecasts via Open-Meteo, all through natural language.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

An MCP server that provides real-time weather alerts, forecasts, stock market data, and news information through various API integrations.

Provides access to Hong Kong climate and weather data from the Hong Kong Observatory, including current conditions, forecasts, warnings, tides, and more.

Enables real-time weather lookup for any location via MCP, returning concise summaries from wttr.in.

Demonstrates OAuth2/OIDC authentication for MCP servers using Asgardeo, with JWT validation and a sample weather tool to showcase secured API access.

Enables scheduling of construction works against weather forecasts, using deterministic tools to check weather suitability, estimate curing times, and place dependent tasks into the earliest non-prohibited time windows.

AI assistants can size heat pumps, estimate energy costs, and verify cold-climate performance using bundled data and no API keys.

Enables pilots to assemble a preflight briefing per 14 CFR §91.103 by fetching weather, airport info, aircraft performance, fuel estimates, alternates, and NOTAMs.

Live scuba diving planning for AI agents — ranked dive-forecast windows near any place for any day, best-time climatology per destination, marine-life seasonality from GBIF sightings, and facts for 4,800+ dive sites. Free and read-only; hosted at https://pickadive.com/mcp.

Enables riders to ask an assistant for wind-sport forecasts at a named spot, combining AROME, ICON, ECMWF, GFS, UKMO and other models into one hourly table with consensus, spread, gust diagnosis, and onshore/offshore safety relative to the beach orientation. It also finds spots, lists which models apply locally, and returns rideable daytime windows within a given knot range.

Provides AI assistants with real-time and forecast airport intelligence, including security wait times, FAA delays, EU border queues, lounge and terminal info, aviation weather, and baggage performance for over 8,000 airports.

Provides personalized recommendations for optimal outdoor exercise times by integrating weather data, Garmin Connect training schedules, and user performance metrics.

Enables AI assistants to access free, open agronomic data for field briefings, spray windows, water balance, pest pressure, and more, using only public data sources without API keys.

Enables Claude to set up and manage a local garden journal by searching places, saving garden setup, logging and updating plantings, retrieving forecasts, checking frost risk, and finding planting windows.

Enables users to work out soil, mulch, compost, topsoil and potting mix volumes and bag counts for beds and pots, compare bagged versus bulk costs at their own prices, check what to sow each month, and see how often a town has had frost after Melbourne Cup Day. It runs as a read-only, stateless MCP server that connects directly inside Claude, ChatGPT, Cursor and VS Code.

Enables agents to pull live overnight forecasts for grower blocks and score frost risk with an itemised, versioned engine, returning cold-window start/end hours and a run-protection, stand-by, or no-action verdict. It also lets agents list blocks and sheets, create or update idempotent decision records, and replay their SHA-384 hash chain to verify nothing was altered.

Enables querying autumn foliage peak forecasts for Japanese viewing spots, with best-viewing windows, confidence in days, and nearest station details via read-only tools.

Enables real-time weather queries for Chinese and global cities via wttr.in, with support for both stdio and HTTP deployment.

An MCP server that analyzes upcoming weather at alpine peaks and trailheads worldwide, ranking the best windows for climbing and ascent using high-resolution forecast models.

Enables farm operators to run region-scoped climate analytics by supplying GeoJSON polygons or lat/lon/radius pins, returning season curves, frost windows, and related agricultural metrics with terrain-derived spread across the region.

Enables voice assistants to answer when to run household appliances using live solar forecasts, typical-year production, savings, battery, and multi-load planning. It remembers site details, estimates usable solar windows, and returns concise spoken guidance without inventing measurements.

A production-grade Model Context Protocol server that provides real-time weather data and 5-day forecasts using the Open-Meteo API. It offers comprehensive meteorological metrics supported by Redis caching and built-in performance monitoring tools.

Demo MCP server that provides weather data for cities, with tools to get weather and list available cities.

Provides weather information from the National Weather Service API with full MCP OAuth 2.1 compliance, including weather alerts and forecasts for US locations through secure Azure AD authentication.

A collection of lightweight servers that expose weather and financial capabilities through the Model Context Protocol, allowing users to access weather alerts, forecasts, and financial market data with technical analysis.

Enables users to ask an MCP client whether golden-hour sunrise or sunset light will be visible on Chinese snow mountains from a given viewpoint, returning golden-hour time windows, a 0-100 visibility score, and weather factors like cloud cover, humidity, and wind. It also supports searching peaks and viewpoints by name and finding nearby visible peaks by latitude and longitude for the next 1-7 days.

A Model Context Protocol (MCP) server built with the mcp-framework to provide weather-related tools and data to AI clients. It enables integration of weather capabilities and custom tools into the MCP ecosystem for use with platforms like Claude Desktop.