"Integrating Automated Payment Systems" matching MCP servers:

An MCP server for the iNavi Maps API that gives AI assistants iNavi Maps API specifications and ready-to-use HTML templates for interactive map visualizations (geocoding, POI search, route planning).

Provides a validation suite for VAT, IBAN, email, geo lookup, and VIN decoding, with per-call pricing and optional x402 payment support.

A Model Context Protocol server that provides geocoding services by integrating with the Nominatim API, allowing AI assistants to perform location-based lookups.

MCP server for birding trip planning with migration forecasts, hotspot analysis, and daily email briefings, integrating eBird, BirdCast, NWS, and iNaturalist data.

MCP server providing AI agents with access to Japanese data APIs (address, furigana, transit, diet, holiday, weather, houjin) via a pay-per-use x402 payment protocol.

Provides a local stdio server with tools for searching places, checking ride history and active ride status, listing payment methods, getting quotes, booking rides, and canceling active rides through a reverse-engineered Waymo rider API.

Enables agents to search places, get live fares and route previews, list payment methods, book rides, monitor ride and vehicle status, preview and confirm cancellations, and retrieve ride history for Tesla Robotaxi rider accounts.

Enables AI assistants and developers to search 1,000+ public bikeshare systems and fetch live station, free-floating vehicle, alert, and vehicle-type data through the General Bikeshare Feed Specification.

Provides tools to search, download, and manage satellite imagery from all Copernicus Sentinel missions via the Copernicus Data Space ecosystem. It enables advanced geospatial queries, temporal coverage analysis, and automated data management for Earth observation tasks.

Enables complex travel planning by integrating flight and hotel search via Booking.com API and Google Maps for location context.

Lets users search nearby stores and products, inspect their Rappi cart, manage saved addresses, and track orders locally, with payment and checkout actions disabled by default unless explicitly enabled and confirmed. It uses an undocumented Rappi API and protects privacy through redaction and local token storage.

A Model Context Protocol server that integrates TAK Server with AI systems, providing geospatial-aware tools for querying, analyzing, and interacting with tactical data.

Provides real-time bus and train information across 10+ cities in Malaysia, including live vehicle tracking, arrival predictions, stop search, and route discovery for public transit systems.

An MCP server providing geospatial analysis tools for raster and vector data, integrated with a reflection system that requires AI agents to justify their methodological decisions. It enables accurate mapping and spatial operations by ensuring reasoned choices for coordinate systems, resampling, and data transformations.

Enables comprehensive travel planning by integrating Google Travel Services and Amadeus GDS for dual flight and hotel searches, plus event discovery, weather forecasting, currency conversion, and location services. Combines consumer-friendly search with professional travel industry data for optimal trip planning.

A unified MCP server for US transit systems, supporting Washington DC Metro and NYC Subway with real-time predictions, station info, and service alerts.

Answers campus questions by voice, such as room availability, class locations, and deadlines, using existing institutional systems like iCalendar, LDAP, and a room inventory.

Enables deploying an Earth Engine MCP server in Docker, integrating with Claude Desktop to perform geospatial analysis using 11 Earth Engine tools for tasks like wildfire risk, flood risk, and agricultural monitoring.

Enables weather queries using Baidu Maps API, providing real-time weather conditions, 5-day forecasts, hourly predictions, lifestyle indices, and weather alerts. Supports queries by administrative district codes or coordinates with multiple coordinate systems.

AI-powered running course generator that creates custom routes on Seoul's pedestrian network based on natural language requests (distance, elevation, shape), integrating slope, lighting, and facility data.