"Pine Script v6 Python integration or comparison" matching MCP servers:

Compare Uber and Lyft prices for any route, get supported cities, and retrieve booking links using Claude Desktop.

Enables AI agents to retrieve current atmospheric conditions for a specified location via OpenWeatherMap.

An MCP-based project that integrates Zhipu AI and Tencent Map APIs to provide weather queries, geocoding, and web search functionality through both command-line and web interfaces.

MCP server that provides Korean weather information using grid coordinates and the Korea Meteorological Administration API, allowing users to query current weather conditions and forecasts for specific locations in Korea.

MCP server for converting PLSS legal descriptions to GPS coordinates and vice versa, enabling AI agents to work with U.S. Public Land Survey System data.

Enables AI assistants to interact with the Open Charge Map API, allowing exploration of endpoints, test requests, and using documentation to integrate the SDK.

Enables querying weather data through natural language, providing current conditions, daily and hourly forecasts, and city comparisons using the wttr.in API.

Provides weather forecast and alert information for US locations using the National Weather Service API. Enables users to get detailed weather forecasts by coordinates and retrieve active weather alerts by state.

Provides current weather data for any location using the OpenWeatherMap API.

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).

Provides real-time US weather data for AI assistants via MCP, including current conditions, forecasts, alerts, severe weather outlooks, radar, upper-air analysis, and surface analysis. Supports optional personal weather station integration.

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.

Enables AI assistants to query live arrivals, vehicle positions, routes, stops, and timetables across the Athens public transport network, with stop lookups by name or coordinate in Greek or Latin script. Results cover OASA buses, trolleys, metro, and tram, falling back to cached reference data when the upstream API is unreachable.

An MCP server for holiday flight planning powered by Google Flights via SerpAPI, enabling real-time flight search, destination discovery, airport comparison, and multi-country trip planning.

A Model Context Protocol (MCP) server for Google Maps — routing, place discovery, and commute comparison over stdio.

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.

MCP server providing Korean weather forecasts from the KMA (short-term, hourly, daily) and timezone utilities (current time, conversion, lookup) using only standard Python zoneinfo.

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.

MCP server that exposes real-time weather, forecasts, air quality, and multi-city comparison tools via the OpenWeather API for LLM agents.

Provides IP address geolocation and related info via an API, with MCP server integration for easy use in AI tools.

Enables AI agents to search and read Divar classified ads across Iranian cities, covering homes, cars, phones and more, with price statistics, deal finding, fair-price appraisal, ad comparison and map browsing. It is read-only, needs no account or API key, and returns compact JSON with prices in Toman.

Beach Safety MCP — comprehensive beach and surf conditions for any beach worldwide: waves, swell, wind, air and water temperature, UV index, rip current risk, and a 1-10 safety score. No API keys needed. Python, stdio transport.

Provides current weather data for any city using the Open-Meteo API, exposed as an MCP tool for integration with MCP clients.

Provides seamless access to TomTom's location services including search, routing, traffic and static maps data, enabling easy integration of precise geolocation data into AI workflows and development environments.

Enables integration with Boxberry delivery services, allowing users to search cities and pickup points, calculate delivery costs and times, track shipments, check postal indexes, and list services.

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.

An AI-powered server that helps users discover and book restaurants based on location, cuisine preferences, mood, and event type, with integration to Google Maps Places API for accurate recommendations.

A Model Context Protocol server that provides Google Maps API integration, allowing users to search locations, get place details, geocode addresses, calculate distances, obtain directions, and retrieve elevation data through LLM processing capabilities.

Enables integration with Mapbox API for navigation and location services, including directions between coordinates or places, travel time/distance matrices, and geocoding to search places and convert addresses to coordinates.

A Python MCP server for discovering and analyzing Sentinel-2 L2A imagery, enabling AI agents to search scenes, check quality, and compute spectral indices like NDVI, NDWI, and NBR from remote COG windows.