"Analyzing Football Statistics and Strategies" matching MCP servers:

A local MCP server that integrates FastMCP with OpenAI to enable natural language queries for current weather, forecasts, and currency conversion using ExchangeRate-API and Open-Meteo.

Enables AI assistants to validate and standardize US addresses using the official USPS Address Validation API with secure OAuth2 authentication.

A self-contained MCP server that gives AI agents the ability to calculate high-precision astronomical data. It provides tropical zodiac coordinates, planetary speeds, retrograde detection, and house cusps using the trusted Swiss Ephemeris engine. 100%

Enables reading and analysis of vector spatial data through Claude Desktop, supporting formats like FileGDB, Shapefile, GeoJSON, and GeoPackage with tools for layer listing, schema inspection, field statistics, feature extraction, and interactive map rendering.

Wraps the RentCast API to search houses for sale, get valuations, rent estimates, and market statistics.

Enables AI coding agents to score any geographic coordinate for ecological and agricultural land suitability by analyzing satellite and climate data, returning a weighted score with per-metric breakdowns for vegetation, water, terrain, and more.

Provides real-time rocket alerts, historical statistics, shelter search, and city data through 12 MCP tools.

Enables IOTA group lookup, island search, DXCC mapping, nearby groups, and programme statistics through any MCP-compatible AI assistant.

MCP server for the Stream.estate French real estate API. Search properties, get market statistics, manage saved searches with webhook notifications.

Provides AI assistants with live tools for Portuguese public data including fuel prices, weather, postal codes, statistics, and open data.

Provides destination-based public parking lot recommendations in Seoul. It converts destinations to coordinates, finds nearby public parking lots, and estimates wait times using real-time availability and historical statistics.

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 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.

Enables geospatial analysis by chaining MCP tools that resolve areas, select datasets, pull statistics, and generate insights, with session state passing data between tools.

A Model Context Protocol server that integrates TAK Server with AI systems, providing geospatial-aware tools for querying, analyzing, and interacting with tactical data.

Enables AI assistants to perform geospatial analysis, spatial data processing, vector and raster operations, coordinate transformations, spatial statistics, mapping, and access to climate, satellite, and other geospatial data through MCP-compatible clients.

Provides statistics on OpenStreetMap tags (keys and key=value pairs) via MCP tools, enabling querying of tag usage and metadata.

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

A Model Context Protocol server for personal location tracking that stores GPS points, detects frequent places via clustering, and provides AI-accessible tools for querying location history, visit statistics, and place management.

Provides French address data from DVF, Géorisques, and SSMSI sources, including property prices, risks, and crime statistics.