"Tools and Strategies for Business Automation in E-commerce Marketing Analytics" matching MCP servers:

MCP server for querying validated EuroLeague and EuroCup basketball analytics, including possession-based metrics, four factors, and lineup-level on/off data reconstructed from play-by-play events.

Governed data pipeline for NBA ticketing and attendance data, exposing typed tools for AI agents to query game performance and seat-tier sales without direct database access.

Enables natural-language querying of a local DuckDB warehouse of NFL play-by-play data, converting questions into SQL and returning results.

Enables AI agents to discover live and recent football matches, scores, and fan clips on Vublox. Supports searching by team, league, or keyword and retrieving match summaries.

Public read-only MCP server exposing today's free sports-betting projections, track record, methodology, engine versions, and per-game model reads from the Olympus Bets Analytics platform.

Enables cricket analytics via natural language, including player stats, team performance, match results, comparisons, and news, powered by OpenAI and MCP.

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

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.

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

Provides access to Fantasy NBA Israel League statistics including team rankings, player stats, roster details, and shooting analytics for a specific private fantasy basketball league.

Provides access to KenPom basketball analytics through MCP tools. Enables querying ratings, efficiency, player stats, and more using natural language.

Enables LLM-powered race engineers to compute Formula 1 pit-stop strategies from real session data, including tire degradation modeling, optimal pit windows, undercut/overcut simulation, and finish-position projection.

A Python MCP server providing 11 tools for querying KenPom basketball analytics, including efficiency ratings, game predictions, four factors, and more through Claude.

Enables AI agents to query live and historical sports analytics, consensus betting odds, predictions, scores, schedules, standings, rosters, news, play-by-play, and win probabilities through structured tools and resources.

Provides comprehensive NBA statistics via Model Context Protocol, enabling queries for player stats, game scores, team info, and advanced analytics through natural language.

MCP server that gives AI assistants direct access to RaceHooks motorsport analytics and data, enabling management of webhooks, live sessions, simulations, and account usage.

MCP server for Valorant esports analytics that exposes structured metrics and database query tools, enabling AI-assisted match analysis, player profiling, scouting reports, and coaching insights.

Provides football analytics tools including player scouting, comparisons, market-value filters, expected-goals tables, match-by-match form, team attacking profiles, match search, shot maps, and more for 10 leagues.

An MCP server that provides 118+ Formula 1 analytics tools, enabling race analysis, driver comparisons, telemetry exploration, and strategy simulation through natural language.

Provides structured Valorant esports analytics data and metrics through MCP, including match analysis, player profiling, scouting reports, and ad-hoc SQL queries. Enables AI models to generate accurate coaching insights from pre-computed analytics tables.