"Fetching data from an MCP server" matching MCP servers:

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.

Enables point-in-England lookups to retrieve planning designations such as conservation areas, listed buildings, green belt, flood risk zones, and more from the national planning data platform.

Enables spatial analysis of large remote GeoParquet files directly from object storage without downloading or importing data, using DuckDB's predicate and projection pushdown to answer queries efficiently.

An MCP server that enables finding and qualifying local business leads through the Google Maps Places API, with tools for searching businesses, fetching details, and sweeping areas for coverage.

Provides AI agents with live access to over 1 million traffic cameras worldwide, enabling search by bounding box, radius, route, or nearest point and fetching live frames.

Enables agents to turn structured data into production-ready static maps, returning rendered PNG and SVG URLs along with an editable map link.

Enables querying current weather conditions for a named location with an optional country code, returning structured results that include units, time, resolved location, and data source.

An MCP server that lets LLMs query USGS NHDPlus HR hydrography data—streams, rivers, lakes, stream gages, and watershed boundaries—via point or GeoJSON geometry intersection queries.

Finds marked hiking routes from OpenStreetMap filtered by locally-computed elevation gain, distance, loop shape, and car/chairlift access, providing consistent and tunable metrics instead of third-party scraped data.

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.

MCP server for live Turkey data — gold & silver prices, official TCMB exchange rates, fuel pump prices, prayer times and the Kandilli earthquake feed.

An MCP server that finds real U.S. cities near a given zip code whose names match anything from The Simpsons.

Enables users to check Google organic, map pack, and local finder positions for keywords across specified locations, returning per keyword/location rows with ratings, competitors, and rank changes. It runs searches from each location via Apify and can track history with a state key.

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

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.

Enables AI assistants to retrieve current weather conditions and forecasts for specified locations by geocoding places and pulling data from Open-Meteo, with optional natural-language summaries via Groq.

Query Overture Maps data — places (POIs), buildings, and administrative divisions — from MCP-compatible LLMs with token-efficient summaries.

An MCP server that exposes Charlotte, NC and Mecklenburg County open data as tools for an LLM agent, enabling queries about trash pickup, parcels, zoning, crime, and more by geocoding addresses and querying live ArcGIS layers.

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.