"Information about SQLite: a lightweight database engine" matching MCP servers:

MCP server for interacting with Google Earth Engine, enabling geospatial analysis such as dataset visualization, statistics computation, and search via AI assistants.

Enables exploration of geographical data including countries, cities, states/provinces, and regions through a SQLite database. Supports searches by name, location coordinates, currency, and regional groupings with comprehensive statistical queries.

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.

Enables local AI-powered retail location intelligence by exposing database schema and spatial query tools to LLMs. It supports executing validated SQL, retrieving example spatial analyses, and generating strategic business insights from retail siting data.

Provides real-time Dutch railway (NS) travel information including train schedules, delays, journey planning, ticket prices, and station details for navigating the Netherlands by train.

Enables querying parking lot information through an MCP server built with fastMCP, allowing users to retrieve parking facility data via API calls.

Provides Estonian public transport timetables, trip planning, stop search, and real-time vehicle tracking.

Provides read-only query tools over OpenStreetMap data in PostGIS, enabling natural language queries for features, categories, and spatial analysis.

Provides real-time access to Israeli emergency alerts from the official Pikud Haoref (Home Front Command) API. Enables AI assistants to check current alerts, retrieve alert history with intelligent city filtering, and monitor emergency notifications including rocket alerts, aerial intrusions, and earthquakes.

Enables AI agents to answer civic questions about Virginia state, county, and municipal public data, including zoning, parcel, boundary, and Code of Virginia lookups, with provenance on every answer.

Provides live California road conditions, route planning, and an AI assistant over MCP, enabling natural-language queries about traffic, closures, chain controls, and more.

MCP server that provides statistically rigorous weather and climate context by exposing the Baseline API as agent tools, enabling queries about climate conditions and comparisons against historical data.

Enables booking premium private chauffeur transfers in Paris and across Europe directly from AI agents. Provides tools to list vehicles, get quotes, book rides, and retrieve service information.

A developer-focused server that exposes information from VW vehicles via a Model Context Protocol (MCP) interface. This project is designed for integration, automation, and experimentation with connected car data.

Exposes Mireye Earth's geospatial data API as MCP tools (mireye_ask and mireye_fetch) for querying location-based information like elevation, flood zones, and wildfire risk for US places.

A Model Context Protocol server that retrieves detailed geographic information about IP addresses using the ipinfo.io API, helping determine user location and network details.

Provides AI assistants with live information about who is currently in space and the location of the ISS, using the free Open Notify API.

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.

MCP server for ANWB traffic information, route planning, and location search in the Netherlands. Provides real-time traffic incidents, route calculation with turn-by-turn directions, and location search via natural language.

Provides AI agents with environmental sensing capabilities including current time, IP-based geolocation, system information, and hardware details. Enables more contextual and accurate AI responses based on user's environment.