"Converting Natural Language to SQL Queries" matching MCP servers:

Enables AI assistants to scrape Google Maps business data (names, addresses, phones, emails, websites, ratings, etc.) through natural language queries, with tools for synchronous and asynchronous scraping and credit checking.

Connects MCP-compatible AI clients to BMLT root servers, enabling natural language queries for NA meeting data including search by location, day, format, and more.

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 that connects your PinMeTo locations to AI assistants, enabling natural language queries for insights from Google, Facebook, and Apple Maps.

Access French geographic data from IGN (Institut national de l'information géographique et forestière) including cadastral parcels, agricultural land registry, protected natural areas, urban planning zones, and wine appellations through natural language queries.

Enables AI assistants to look up live weather data, including current conditions and up to 16-day forecasts, by converting place names to coordinates and fetching data from the Open-Meteo API without requiring an API key.

Provides real-time South African load shedding data through the EskomSePush API. Enables users to check current load shedding stages, monitor API usage, and access area-specific schedules and searches with natural language queries.

Provides access to Google Maps Platform APIs for places search, geocoding, turn-by-turn directions, route matrices, elevation, and time zones. Enables natural language queries for location-based information and routing.

Connects AI tools to the ViaCEP API, allowing natural language queries for Brazilian addresses by CEP or address details.

Enables natural language queries about UK postcodes and vehicles, including flood risk, crime rate, broadband coverage, property prices, MOT history, and ULEZ compliance.

Enables natural-language queries about real filming locations and the productions recorded at them, including search, proximity, and ranking tools.

An MCP server exposing Greater Helsinki public transport data from Digitransit, enabling LLM hosts to answer live transit queries, plan journeys, and fetch stop departures via natural language.

Bridges the AlayaCare home care platform with AI agents, enabling natural language queries for PSW details, client info, visit schedules, and geo-based proximity analysis.

MCP server for Atlanta MARTA real-time transit data, enabling queries about train arrivals and bus positions via natural language.

An MCP server that provides location-based services using Amap APIs, enabling AI assistants to answer navigation queries by resolving addresses, converting coordinates, and comparing walking, driving, and transit routes.

Enables AI assistants to interact with 3DCityDB v5 through natural language, dynamically resolving object classes, properties, and codelists to answer spatial questions and execute SQL queries on CityGML data.

Provides location-based place recommendations in South Korea using the Kakao Map API, optimized for Korean language queries. Supports recommending various places like restaurants, shops, public facilities, and tourist attractions based on user queries.

Exposes real-time ADS-B aircraft data from a feeder, enabling natural language queries for aircraft positions, receiver statistics, and flight searches.

A Python MCP server that provides unified access to satellite and geospatial data through natural language queries, with automatic place name geocoding and support for raster, vector, and Zarr formats.

A Model Context Protocol server that connects Large Language Models to the GeoServer REST API, enabling AI assistants to query and manipulate geospatial data through natural language.