"How to Read and Write Data with a Discord Server" matching MCP servers:

Enables local read-only access to TheRundown Product API data including sports, affiliates, market definitions, events, futures, and open main lines using your own API key.

Enables searching golf courses for free and retrieving premium data such as scorecards, GPS mappings, course details, and green slope images via a credit-based API with explicit spend confirmation.

Provides read-only access to sports data, odds intelligence, and historical stats via 10 MCP tools, with fast response times through Redis caching.

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.

Provides seamless access to iRacing's racing simulation data, enabling AI assistants to retrieve driver profiles, career statistics, and team information. It features automatic authentication and tools for real-time driver lookups and season performance analysis.

Access football (soccer) data including competitions, matches, standings, and team details via the Football-Data.org API.

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.

Enables AI agents to access comprehensive sports data including football, basketball, American football, and hockey leagues via 11 tools, with no API key required.

Enables querying ATP and WTA match results, schedules, and current rankings by date or date range, with filters for tours, draws, statuses, tournaments, and players.

Enables MCP clients to query documented Sportmicro football endpoints for players, teams, matches, player statistics, and weekly/season projections through narrow, read-only, validated tools.

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.

Enables AI agents to query matched prediction markets listed on both platforms, returning side-by-side prices, the gap and pre-fee edge between them, gap alerts, and 30-day price history across politics, economics, crypto and sports. Coverage includes 10,000+ verified pairs plus game winners, spreads and totals across 100+ leagues, refreshed hourly.

An open-source MCP server that connects to the SoccerDataAPI to deliver up-to-date football match information via natural language interactions.

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

Provides read-only access to the Sleeper Fantasy Sports API for league info, rosters, matchups, drafts, transactions, and player data.

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

Provides read-only access to pre-kick-off football match outcome probabilities and the open record of how those predictions turned out, including match listings, per-match analysis, and aggregate hit rates with baselines. It requires no account or API key and lets users query results by date, week, language, and time zone.

A stateless, read-only MCP gateway for the public Chess.com API, enabling agents to fetch player profiles, stats, games, and club data without storing credentials.

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.

Enables read-only access to public Swedish sports competition data, including federations, districts, schedules, results, standings, team searches, matches by date, and detailed match protocols. It provides these capabilities through MCP tools without requiring login, a browser, or credentials.

MCP server for NBA live data and stats, providing read-only tools to query live scores, box scores, player info, standings, and more from NBA.com.

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.

Python MCP server that provides comprehensive access to MLB statistics and baseball data through a FastAPI-based interface. Acts as a bridge between AI applications and MLB data sources, enabling seamless integration of baseball statistics, game information, player data, and more.

Enables MCP clients to interact with the Strava REST API through tools generated from Strava's official Swagger spec, supporting OAuth, activity and athlete data retrieval, and configurable write/delete operations.

Provides MCP-compatible LLMs with read-only access to normalized ESPN Fantasy Football league snapshots, team rosters, and free-agent data.

Enables AI agents to access Sleeper fantasy football league data, rosters, matchups, projections, waivers, trends, and league chat, with read-only safety and optional authorized chat posting.

A private, read-only MCP server that gives local Codex and Claude Desktop sessions access to athletics and wellness data from a Garmin Forerunner 55. It runs locally over stdio, exposes read-only tools for daily health, recovery, performance, and workouts, and caches data in SQLite.

Enables AI agents to read training data and, with explicit approval, replace planned workouts in a user's Intervals.icu account.

Enables sportsbook operators to run an entire ARENA360 account in plain language, covering TRADE ordering and configuration, DEFEND risk controls, ENGAGE content and Coverage Hub, and BOOST benchmarking of coverage, uptime and margin. Every write is displayed and approved by an operator before it is applied, with read and write access for modules that expose tools.

Enables AI assistants to read training, sleep, recovery, nutrition, body composition, race and goal data, and with permission write workouts, daily targets, meal plans, logged meals and notes. Also supports checking for updates since the last look.

Lets AI agents read a live sports data API, looking up league schedules, live scores and game situations, play-by-play, drives, and box scores in response to natural-language questions. It runs locally over stdio, is read-only, and keeps each tool call small so usage stays within the account's request budget.

Provides read-only access to Sleeper fantasy football data including user info, leagues, rosters, matchups, and NFL state through MCP tools.

A Model Context Protocol server that provides read-only access to Yahoo Fantasy Sports data, enabling AI assistants to query league standings, player stats, matchups, and rosters.

Enables AI assistants to answer tennis tactical questions using shot-by-shot charted match data, producing game plans, serve and return tendencies, scouting reports, match forecasts, and explanations of why a match turned. Exposes read-only tools for player reports, head-to-head game plans, match breakdowns, and tactical leaderboards, each with confidence margins and links to full pages.

Enables AI agents to search and analyze Japanese horse-racing data in a PostgreSQL database, including races, entries, odds, jockeys, trainers, pedigrees, training, and predictive metrics. Also provides forecasting knowledge resources and safe read-only custom SQL querying for deeper analysis.

Enables interaction with the CopaMind platform via MCP, exposing read-only and write tools for querying match predictions, Monte Carlo simulations, team rankings, and RAG-based explanations, all while maintaining full traceability and reproducibility.

Enables natural-language querying of historical NBA game data from a read-only SQLite database.

A local, read-only stdio MCP server that bridges Codex to the COROS MCP gateway, enabling sport data queries through an allowlisted set of tools while excluding file and write operations.

Gives AI assistants read-only access to a WHOOP account for recovery, sleep, HRV, strain and workout data, including personal baselines, trends, period comparisons, sleep debt, and HYROX/triathlon race readiness with auditable local dashboards.

Connects AI agents to Garmin Connect so they can read fitness data (activities, sleep, steps, heart rate, weight, workouts, profile) and schedule or manage Garmin Calendar workouts with an explicit confirmation flow.