"Coolify - An Open-source Self-hosting Platform" matching MCP servers:

Self-hosted MCP servers that let Claude, ChatGPT, or any MCP client answer questions about your own Google Maps data — where you were at a given moment, visits to specific places, dwell time, trips, distance traveled by mode, and your current position from a live feed. All tools are read-only and gated behind OAuth 2.1 tokens with configurable precision, so credentials and coordinates never leave your server.

Provides MCP-compatible agent clients with current weather, forecasts, and place-name geocoding from the Open-Meteo API without requiring an API key.

An MCP server that provides weather forecasts and current conditions for any city via the free Open-Meteo API, with no API key or account required.

Provides comprehensive weather data (forecasts, historical, air quality, marine) from Open-Meteo through 12 tools, with support for single and batch location queries.

Enables users to get weather forecasts, snow conditions, air quality, and location search via the Open-Meteo API, with guided prompts for ski trips and outdoor activities.

MCP server that gives AI agents instant access to public camera feeds worldwide via simple HTTP GET, saving snapshots to disk.

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.

Enables AI assistants to query French public open data through read-only tools: geocoding and reverse geocoding of addresses, company lookups by name, address, leader or SIREN, and commune listings by name, postcode or département. It wraps free, keyless government APIs (IGN Géoplateforme/BAN, Recherche d'entreprises/SIRENE, geo.api.gouv.fr) over stdio or Streamable HTTP with validated inputs and rate limiting.

Enables AI agents to resolve place names into coordinates and fetch current conditions and multi-day or hourly forecasts, with units, local timezones, and WMO weather descriptions, without requiring an API key.

Gives AI assistants read-only, key-free access to Sentinel-2 NDVI time series, ESA WorldCover land-cover shares, and Copernicus 30 m elevation and slope for a point or small area, returning the scene IDs, units, and caveats behind every number. Built-in sanity checks and a verify tool recompute key values through an independent path so the assistant can flag cloudy, low-confidence, or mismatched results instead of guessing.

A lightweight MCP server for Open-Meteo weather API, providing current weather, forecasts, location search, and more without requiring an API key.

Enables users to geocode city names and retrieve current weather conditions plus a 1–7 day forecast through a public weather API, with no API key required, for MCP clients such as Claude Desktop or Cursor.

A comprehensive MCP server providing tools for real-time, forecast, and historical weather data, alongside air quality, marine conditions, and climate projections. It also includes geocoding services to search for locations and retrieve precise coordinates for environmental analysis.

Provides comprehensive access to Open-Meteo weather APIs, including forecasts, historical data, air quality, marine weather, and geocoding, enabling LLMs to retrieve weather information and location data.

Provides comprehensive access to Open-Meteo APIs for weather forecasts, historical data, air quality, and marine conditions. It enables LLMs to query specialized meteorological models, perform geocoding, and access advanced climate or flood projections.

Enables discovery, analysis, and explanation of open satellite data through MCP, with support for STAC catalogs and NASA GIBS.

Enables agents and developers to discover indicators, query observations, compare Argentine territories, and retrieve provenance through bounded MCP tools and a shared REST API.

Gives language models weather tools for place search, multi-day forecasts, and location comparison, with no API key or configuration required.

MCP server for Open-Meteo free weather APIs, offering 16 tools for forecast, historical, air quality, marine, flood, ensemble, climate, seasonal, and scheduled data collection with no API key required.

Enables MCP clients and LLMs to compute Vedic astrology charts, including 47 ayanamsha modes, 20 divisional charts, Vimshottari dasha, transits, Panchanga, and related calculations from birth details. It also resolves places to timezone and coordinates and exposes configuration and server-status tools.

Enables fetching terrain elevation in metres above mean sea level for a single latitude/longitude coordinate. No authentication required, part of Pipeworx gateway.

This MCP server provides access to Open-Meteo weather APIs including forecast, historical reanalysis, geocoding, air quality, marine weather, and flood risk data, enabling AI agents to retrieve weather information using natural language.

Enables answering business questions about Spanish places by resolving place names and returning population, household and income statistics down to municipality, district and census tract level from official INE data, cross-checked between sources with province, region and country benchmarks. Every figure is delivered with its publisher, dataset id, data year and retrieval date, alongside caveat checks for suppressed, stale, thin-sample or estimated values.

An MCP server for out-of-home (OOH) site-reachability tooling that provides geospatial catchment scoring and multi-site comparison for billboard/ad-site evaluation using open data.

Enables finding wheelchair-accessible toilets in Tokyo public facilities and train stations by latitude and longitude, with optional filters for ostomate facilities, warm water, universal sheets, and baby changing tables.

MCP server platform enabling agents to self-register and access geo MCP tools (read-only geo_entities) plus hello ping services via a public MCP endpoint.

Geocode places, fetch global weather forecasts, ERA5 historical climate, marine conditions, air quality, and terrain elevation via MCP. Provides 11 tools over STDIO or Streamable HTTP.

Enables AI agents to geocode Japanese addresses, retrieve GSI map tiles, query e-Stat statistics, and access MLIT school-district and real-estate-related geospatial data, with core tools requiring no API keys.

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.

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

Enables MCP-capable clients to query verified physical context through location sensing, operability checks, and domain listing, while preserving evidence provenance and explicitly reporting unavailable inputs.

MCP server for AI-native restaurant discovery with three-tier search (verified, menu_indexed, discovered), Menu Protocol menus, and structured menu validation.

Enables users to compute point-to-point distances, filter and rank comparable sales, and generate transparent parcel value estimates with intervals and confidence from supplied JSON data via MCP tools or CLI.

Provides MCP tools for Google Maps services including directions, geocoding, distance matrix, and places search.

MCP server that retrieves up-to-date Google Maps Platform documentation and code samples to ground AI-generated code in official guidance.

Provides real-time access to Bangalore's public transportation information including bus tracking, schedules, routes, and service updates to improve passenger experience.

Enables agents to score a Bangalore address against hard home-buying gates for commute, hospital access, schools, and market risk, and to retrieve growth corridors, hospital quality, and school shortlists through read-only tools.

Provides access to French public data through data.gouv.fr, IGN cartographic services (maps, tiles, geographic data), address geocoding, and administrative divisions with demographic information.

Enhances LLM capabilities with location-based services and geospatial data, enabling users to geocode addresses, find nearby points of interest, get directions, optimize meeting points, and analyze neighborhoods.

Enables LLMs to geocode and reverse geocode places, find nearby points of interest, search categories within an area, get turn-by-turn routing, suggest meeting points, and analyze neighborhoods, commutes, schools, EV charging, and parking through OpenStreetMap data services. It also serves place and map tile resources over stdio, SSE, or Streamable HTTP transports.