"Deep research on Gemini" matching MCP servers:

Enables AI clients to search football matches by date and league, retrieve match details by ID, and access match incidents and lineups via the Sportmicro API.

An MCP server for managing kids' sports activities on Spond. Built for parents who want to give AI assistants access to upcoming matches, training schedules, and attendance.

Enables sports betting analytics and actuarial mathematics through tools that de-vig 3-way odds into unbiased probabilities and compute bivariate Poisson/Dixon-Coles scoreline probabilities locally, with no external API calls.

Enables searching and retrieving arbitration decisions from the Court of Arbitration for Sport (CAS/TAS) for sports law research.

Enables AI assistants to read a Comunio fantasy football league's squad, market, offers, standings, and transfers, and to act on the user's behalf by bidding, selling, and setting the lineup.

Read-only MCP server that lets an assistant read Club Alpin Français section websites running plateforme-club-alpin: outing and training agendas, outing details with places left and prices, and — with a member login — your own registrations, history and profile. It only issues GET requests against an allow-list, so nothing on the site can be changed.

Enables MCP clients to discover tournaments, inspect events, entrants, sets, standings, and streams for any game on start.gg using natural language.

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.

Read-only MCP server for OddsRelay odds data, with a token cap on every call that spends tokens.

MCP server that connects Claude or any MCP-capable LLM to your Garmin golf data, enabling natural-language queries on rounds, shots, strokes gained, club distances, course intel, and health-performance correlations from a private local DuckDB cache.

Turns a football take into a 1v1 challenge bet, previews the rule it settles by, shares a link the other side can accept, and pays out winnings once official match data or an AI judge resolves it. Runs against live escrow contracts on Monad testnet with free test dollars, so no one holds the stakes.

Enables AI agents to connect to Fantopy Arena, browse and enter fantasy football contests, build validated lineups, and claim payouts on Solana.

Enables MCP clients to query Sleeper fantasy football leagues, rosters, drafts, picks, and NFL player data, including a normalized on-the-clock draft view. It also supports AI-vs-AI mock draft simulation using real league settings.

Garmin Connect for Claude and any MCP client, on Garmin's official Personal API. Read-only access to sleep, HRV, Body Battery, stress, heart rate, activities and weight with a revocable key, no password or scraping.

Enables querying NBA and WNBA player-prop model picks, the daily board, public track record, games, and player search through the nbaproplab.com REST API, with optional API-key tools for backtests, pick evaluation, and player research. All tools are read-only and most require no authentication.

Enables Claude to query live MLB Stats API data and local KBO CSV files for player and team statistics, leaderboards, standings, and player lookup. Computes sabermetrics server-side — FIP, K-BB%, LOB%, ISO, BABIP, pitcher luck checks, and Pythagorean win expectations — for both leagues on a common basis, returning markdown or JSON.

Connects AI assistants to SharpEdge AI to discover +EV sports betting opportunities and arbitrage edges across major sportsbooks. It provides real-time scanner statistics, sample betting edges, and educational content on advanced betting concepts like the Kelly Criterion.

Enables MCP clients to read Garmin training and health data and manage structured workouts on a Garmin account, including creating, updating, scheduling, and deleting them.

MCP server for Parks on the Air (POTA) providing live activator spots, park details, activator/hunter stats, and scheduled activations through any MCP-compatible AI assistant.

Enables searching routes and areas on Mountain Project, applying route-finder filters, and querying personal tick lists live.

Provides bike tire pressure recommendations based on a SRAM-like formula, including live weather-adjusted front/rear pressures for configured bike profiles.

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.

A Model Context Protocol server that provides comprehensive Formula One racing data, enabling access to event schedules, driver information, telemetry data, race results, and performance analytics through natural language queries.

Gives AI assistants structured access to racing-game telemetry such as lap and sector times, lap comparisons, braking zones and tyre wear through MCP tools and resources. It works out of the box on bundled synthetic sample data and can ingest a live F1 23 UDP feed.

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.

MCP server for Summits on the Air (SOTA) — live spots, activation alerts, summit info, and nearby summits through any MCP-compatible AI assistant.

Provides Formula One data and statistics through a Model Context Protocol interface, allowing users to access race calendars, session results, driver statistics, telemetry data, and championship standings.

Enables access to live FotMob football data for fixture lookup, team and player research, match details, lineups, league discovery, and search-based entity lookup.

Enables querying volleyball match, team, and tournament data from VolleyballWorld API through SQL queries on a SQLite database.

Enables discovering public sports events without sign-in and, after OAuth consent, reviewing athlete activity, operating events, and analyzing box demand, occupancy, attendance, training load, and reports through Antigravity or Gemini CLI.