"C# Azure .NET development assistance" matching MCP servers:

Enables rapid exploration and integration of Omelet's Routing Engine and iNavi's Maps API for building Transport Management Systems, providing endpoint discovery, schema exploration, integration patterns, and troubleshooting guides.

A read-only MCP server for OpenStreetMap offering geocoding, routing, route optimization, isochrones, and POI search—requiring no API key and built for AI travel planning.

MCP server that provides AI-powered tools including YouTube search, trip planning, notes management, web search, product price comparison, and clock/alarm/reminder features with email notifications.

Provides access to 250,000+ Canadian government datasets and specialized querying of transportation infrastructure including bridges, airports, cycling networks, transit systems, railways, and tunnels across multiple provinces.

Cost-of-living and quality-of-life comparison across ~165 cities: take-home pay, the equivalent salary you'd need, and the safety-net deltas (childcare, healthcare, vacation, parental leave).

Gives AI assistants map capabilities — geocoding, places search, routing, distance matrices, isochrones and static maps — from Google Maps Platform, OpenStreetMap, open-source routing engines and open geocoders behind one provider-agnostic tool surface. Early development: both stdio and streamable HTTP transports run and a ping tool is exposed, but provider adapters are not yet implemented.

It enables documented checks on Milan's Area B and Area C vehicle access, MoVe-In budget calculations, and anti-smog restriction status, returning structured MCP responses with references and clear limitations.

Enables proactive voice assistance for flight disruptions, including alerts, rebooking, refund eligibility and requests, bag status, accessibility assistance, and stranded-traveler support through MCP tools, subscriptions, and approval-based elicitation.

Provides tools for vehicle service search, mechanic matching, and booking generation as part of a multi-agent AI system for roadside assistance.

Evaluates airport layover time budgets of 3–8 hours, factoring immigration clearance buffers and round-trip metro/taxi latencies into a net usable exploration window. Curates timed sightseeing and culinary micro-tours with safety advice and zero connection risk.