"Setting up multiple MCP servers within one MCP server" matching MCP servers:

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.

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 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.

An MCP server that enables interaction with MLB (Major League Baseball) v3 projections through the SportsData.io API, allowing access to baseball statistics and projections through natural language.

An auto-generated Multi-Agent Conversation Protocol server that enables interaction with professional golf data through the SportsData.io Golf v2 API.

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.

An MCP server for accessing college basketball statistics through the SportsData.io CBB v3 Stats API, enabling AI agents to retrieve and analyze college basketball data through natural language interactions.

An MCP server that enables agents to interact with soccer data including scores, matches, players, and teams using the sportsdata.io Soccer V3 Scores API.

An MCP Server that enables interaction with MLB scores and statistics via the SportsData.io MLB V3 Scores API, allowing users to access baseball data through natural language queries.

An MCP Server that provides access to NHL (National Hockey League) scores and statistics via the SportsData.io NHL v3 Scores API.

This MCP server enables interaction with NASCAR racing data via the sportsdata.io API, allowing access to race statistics, driver information, and event details through natural language queries.

An MCP server providing access to college football statistics sourced from the College Football Data API within Claude Desktop.

Enables management of sports video metadata with PostgreSQL backend, supporting CRUD operations, advanced search, and tracking of game information including teams, scores, player statistics, and match details.

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

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.

Enables AI assistants to query MyFantasyLeague rosters, standings, trades, free agents, and draft picks across private, dynasty, and IDP leagues in read-only mode. It supports multiple leagues and current or previous seasons without making changes in MFL.

A Model Context Protocol server for TrainingPeaks with an analytics focus — enabling real-time querying of training data, performance trends, CTL/ATL/TSB analysis, and training load optimization through Claude Desktop.

An MCP server that connects Claude Desktop to Hudl, enabling live access to team stats, player stats, and game results through natural language queries.

Enables AI agents to search and retrieve detailed information about US golf courses, including course details, tees, climate, and nearby points of interest.

Enables MCP-compatible LLM clients to access live NBA data, including stats, standings, rosters, scores, and box scores via callable tools.