"Proof-of-concept examples for Multi-Component Processes (MCPs)" matching MCP servers:

MCP server for checking historical weather data for cities using OpenWeather API. Exposes a get_historical_weather tool.

Provides 7 tools for weather (geocoding, current conditions) and country data (capital, currency, population, dial code, flag) via Open-Meteo and CountriesNow APIs, designed for multi-agent AI systems.

Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data • No API key needed, free access • Rate limit: 500 requests/hour per IP

Enables a local Grok Bot to talk to the unofficial MySubaru API over stdio, supporting vehicle status, locate, tire pressure, fuel, odometer, climate presets, and explicit lock/unlock/remote start actions without exposing secrets.

Provides Google Maps functionality through Cloud Run, enabling route calculation, traffic analysis, route comparison, and trip cost estimation with rate-limited public access.

A proof-of-concept MCP server that provides weather information using the Open-Meteo API, with tools for greeting, getting weather by coordinates, and by location name.

Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data • No API key needed, free access • Rate limit: 500 requests/hour per IP

Enables AI assistants to access real-time Transport for London data, including tube/bus arrivals, line status, journey planning, and disruptions.

Proof of concept MCP server that uses ArcGIS REST API to find places such as restaurants near a given address.

MCP server for Muovi, Argentina's local services marketplace. Enables discovery of verified service professionals, browsing services and cities, reading reviews, and generating deep-links for task creation.

MCP server providing weather forecast and geocoding tools using Open-Meteo API, with examples of basic and agent-based clients.

MCP server that provides household waste collection schedules for Horsens Kommune, Denmark, allowing address search and retrieval of next collection dates or calendars.

An MCP server that finds great espresso cafes using a curated database of specialty coffee shops and a transparent scoring algorithm, with a strong bias against flavored syrups and mass-market chains.

Enables natural language search and retrieval of data from Japan's Ministry of Land, Infrastructure, Transport and Tourism (MLIT) Data Platform, including location-based queries, attribute filtering, and data visualization capabilities.

An MCP server for holiday flight planning powered by Google Flights via SerpAPI, enabling real-time flight search, destination discovery, airport comparison, and multi-country trip planning.

Provides AI agents access to OpenStreetMap's comprehensive tagging knowledge base, enabling tag queries, preset discovery, and validation of OSM tags for mapping applications.

Unofficial MCP server for BUPT mobile academic system, enabling querying of today's empty classrooms, course schedules, and combined overview.

An MCP server that exposes geocoding, current weather, and multi-day forecast as typed, structured tools for AI agents via the Open-Meteo API.

Enables AI assistants to retrieve current weather conditions and multi-day forecasts for any location, with optional natural-language summaries.

An MCP server for out-of-home (OOH) site-reachability tooling that provides geospatial catchment scoring and multi-site comparison for billboard/ad-site evaluation using open data.