"Proof-of-concept examples for Multi-Component Processes (MCPs)" matching MCP servers:

Provides real-time access to League of Legends esports data including live matches, schedules, leagues, event details, and VODs through a standardized interface.

An MCP Server that provides access to League of Legends statistics via the SportData.io API, allowing agents to query and analyze LoL competitive gaming data.

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

AI-powered Yahoo Fantasy Football assistant for lineup optimization, draft strategy, and league management with player enhancement and multi-league support.

ESPN MCP — keyless multi-sport live scores, teams, and news via ESPN's public site API.

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.

Enables retrieval of live multi-sport scores, match video highlights, and match predictions via MCP.

Enables analysis of GeoGuessr game statistics, performance tracking, and strategy recommendations with automatic API monitoring and multi-user support. Features dynamic schema adaptation to handle GeoGuessr API changes automatically.

Enables AI agents to verify World Cup match evidence, check settlement readiness, purchase proof packets, and anchor results on Injective EVM testnet.

An MCP server providing domain tools for validating, risk-assessing, and replanning multi-day hiking itineraries in the Chornohora range using curated trail data.

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.

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.

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.

An MCP server for ECNL and ECRL youth soccer, providing schedules, standings, and RPI for both boys and girls.

Provides local MCP tools for fantasy football draft simulation, weekly lineup decisions, and configurable automation policies.

Read-only MCP server for sourced Dota 2 tournament, team, player, schedule, and result data from Liquipedia, with revision-level metadata and caching.

MCP server that connects AI assistants to the Statos football analytics platform, enabling natural language queries for match predictions, betting picks, league information, and admin market-suppression controls.

An MCP server that lets an LLM query a DuckDB warehouse of EuroLeague and EuroCup basketball data in natural language, offering tools for player and team stats, shot charts, boxscores, and fantasy draft analysis without contacting upstream APIs.

Enables AI agents to read and analyze your Boardsesh climbing logbook across boards like Kilter, Tension, and MoonBoard, with read-only access and optional credentials for personalized recommendations.

Searchable football data provider documentation for AI coding agents. Enables agents to look up verified docs on event types, qualifier IDs, coordinate systems, and more across 15 providers.