"A service for finding newly registered businesses in Serbia to offer website services" matching MCP servers:

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.

A unified MCP server that aggregates 32 sports API providers into a single service, providing 336 tools for scores, stats, odds, esports, and more across 70+ sports.

Read-only MCP server for the Palloliitto's result service API, enabling AI applications to search and inspect football & futsal data including clubs, teams, matches, competitions, and league tables.

Enables AI agents to interact with ActiveNet OpenAPI services for managing organizations, activities, customers, facilities, and more.

Enables fast real-time web search and access to premium data from trusted sources including news, financial markets, sports, and more. Supports AI agents with live data and curated content from various domains.

MCP server for real-time surf conditions at 5,000+ beaches worldwide. Enables checking surf conditions, finding nearest spots, and listing spots via natural language.

Provides comprehensive soccer/football data including standings, team search, league search, match predictions, and head-to-head records via the API-Football service.

Enables AI assistants to query the latest F1 news from the official F1 website in real-time, with pagination support and automatic Chinese translation.

Enables MCP-capable assistants to perform post-match Valorant analysis by inspecting stats, reviewing rounds and deaths, rendering tactical maps, and finding community lineups from a Riot ID or match link.

Exposes Zwift training history stored in a local SQLite database to MCP clients and a REST API, enabling queries for activities, power curves, race results, and training load.

Enables natural language querying of football/soccer data via the API-Football service, providing access to leagues, teams, players, fixtures, standings, and statistics.

Provides real-time access to football (soccer) data including fixtures, standings, teams, players, transfers, and injuries through the API-Football service via the Model Context Protocol.

Exposes court-availability data as a read-only panel rendered in MCP hosts (Claude Desktop, VS Code, test host) via a UI resource.

An MCP server that provides real-time surf intelligence, including wave quality scoring, beach discovery, session planning, and forecast analysis across 12+ global data sources. It turns AI assistants into surf-savvy copilots for finding the perfect wave.

MCP server for RapidOddsAPI that provides bookmaker odds, live scores, arbitrage and value bets to AI assistants. It supports querying sports, odds, results, and betting opportunities with credit-based usage.

MCP server providing Claude live access to USL Super League data—teams, matches, standings, rosters, and schedule-strength analytics—via the ESPN public API.

Provides access to the Statbotics API for FIRST Robotics Competition statistical data and predictions. Enables AI assistants and other MCP clients to retrieve FRC team EPA ratings, event predictions, and match analytics.

Gives Claude read-only access to your ESPN fantasy football team, including roster, weekly matchup, free agents, and player profiles.

Interprets advanced hockey player cards to translate metrics into plain-language assessments, supporting player evaluation, claim verification, and player comparisons with deterministic rules.