"How to deploy Solana applications" matching MCP servers:

Enables AI agents and hackathon teams to query Glendale, California hazard zones and city GIS data by address or coordinates, including nearby resources and dataset metadata for emergency-preparedness applications.

Enables AI agents to perform due diligence on Irish properties by querying public datasets for planning applications, sold prices, flood risk, radon risk, and zoning.

Thirteen read-only Google Maps Platform tools for an agent: where a place is, what is around it, how long it takes to get there, and what the conditions are when it arrives.

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

Tracks how long you've been indoors, nags you to touch grass, detects frustration, and recommends nearby parks with live weather.

Integrates Korean APIs (Naver, Kakao, TMAP) into LLM applications for search, maps, and directions.

Provides map services such as geocoding, POI search, and route planning through the Amap API, enabling AI applications to interact with map data via natural language.

A local job-hunting MCP server for discovering jobs across pluggable web sources, tracking applications through a status lifecycle, and managing profiles/resumes, with geo/map-region search.

Enhances LLM responses by grounding them in official Google Maps Platform documentation and code samples via MCP tools for developing applications.

A fully MCP-compliant, open-source maritime data service that provides real-time vessel tracking, port information, route planning, and weather/tide data for maritime applications.

Enables real-time queries about vessels currently near Poole, such as what is on the water, whether a specific ferry is running, and how many boats are moving.

Encode latitude/longitude to geohash strings and decode geohashes to coordinates with offline, keyless operation.

Deploy QGIS in Docker as an MCP server, enabling AI assistants to perform spatial analysis, data loading, cartography, and multi-format export without local installation.

Enables geocoding and reverse geocoding of addresses, including batch processing up to 10,000 addresses and optional data fields such as congressional district, census/FIPS, timezone, and demographics.

Enables AI models to retrieve user geolocation information using EdgeOne Pages Functions through the Model Context Protocol, providing location data in JSON format for context-aware applications.

Provides AI applications with geospatial intelligence through Mapbox APIs, enabling geocoding, POI search, routing, travel time analysis, isochrone generation, and static map creation for location-aware functionality.

Integrates SkyFi satellite imagery and OpenStreetMap services with AI applications to enable high-resolution image searching, ordering, and area monitoring. It provides 21 tools for geospatial tasks, including geocoding, tasking quotes, and satellite pass prediction.

MCP server providing tools for spatial grid applications including calculations, MongoDB management, asset management, project creation, and experience publishing.

A server implementation demonstrating how AI models can interact with external tools and services through Model Context Protocol, featuring integrations for calculator functions, GitHub repositories, and Google Maps searches.

Enables satellite imagery analysis through Google Earth Engine, allowing users to search datasets, calculate vegetation indices like NDVI, filter collections by location and date, and export imagery to cloud storage. Supports major satellite datasets including Sentinel-2, Landsat, and MODIS for applications like agriculture monitoring and deforestation tracking.