"How to add notes to an observation or order of business" 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.

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

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

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.

NFL fantasy football data over MCP. Compare any two players head to head, pull position rankings in PPR, half-PPR or standard, check positional scarcity and bye-week conflicts.

AI soigneur for cyclists: turns your Strava ride into an Ien-Vitse-validated nutrition plan (carbs/hour, hydration, timing) and assembles a ready-to-order musette. Works alongside the Strava MCP in Claude and ChatGPT.

Provides access to official MLB statistics via a keyless API, enabling AI agents to query MLB data through natural language or direct tools.

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.

Enables AI agents to query sports data including teams, players, events, and standings from TheSportsDB through natural language or direct tool calls.

An MCP server that provides access to over 12 years of NFL play-by-play data through a local DuckDB database. It enables users to query player performance, team statistics, and situational efficiency metrics like EPA and WPA using natural language.

Wraps CricAPI to provide live cricket data, enabling AI agents to query cricket information through natural language or direct tool calls.

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

An MCP server that exposes Stockfish chess analysis to LLM chat clients, enabling move analysis, game review, and explanation of engine choices.

MCP server for MaxPreps that reads US high school team schedules, scores, records, rosters, stat leaders, and athlete careers without needing an account or API key.

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.

Analyzes chess positions via Stockfish, returning best moves and evaluations from FEN or PGN input.

A local MCP server that gives Claude (or any MCP-compatible AI client) access to Formula 1 race data. Load any session from 2018 onwards, ask questions in natural language, and get answers backed by real telemetry, timing, and strategy data.

Free MCP server for the World Cup 2026 Tour public schedule API. It enables AI assistants to fetch the 2026 FIFA World Cup schedule, next match, match by ID, and dataset JSON-LD without an API key.

MCP server for Formula 1 data via the FastF1 library. Ask Claude (or any MCP-compatible client) about race results, lap times, telemetry, standings, pit stops, and qualifying — with historical data back to 1950 via the Ergast API.

An MCP server that provides access to ESPN Fantasy Basketball APIs, enabling Claude and other MCP clients to fetch league teams, rosters, free agents, matchups, NBA schedules, and live draft assistant tools.