"How to get information about Telegram channels" 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.

Bridges Suunto watch data to AI assistants like Claude, enabling natural language queries about workouts, sleep, and recovery.

Read-only MCP server for Counter-Strike schedules, results, teams, players, and events from HLTV.org, offering tools to search entities, list matches, and get match details.

Enables AI assistants to access World Cube Association speedcubing data including world records, competitor profiles, competition information, and championship results. Supports queries about rankings, competition schedules, and detailed speedcubing statistics through natural language.

Connects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.

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

Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.

An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.

A Model Context Protocol server that provides access to Fantasy Premier League data, allowing users to compare players, find team information, view gameweek data, and get FPL-related advice through Claude for Desktop and other MCP-compatible clients.

Provides access to Chess.com player data, game records, and public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information.

Provides Formula 1 data via the Ergast API, enabling users to check current standings, get race results, view the season schedule, and look up driver profiles.

Enables fetching football fixtures, match details, league tables, and squad information from the matchday app through natural language.

Enables any MCP client to read and change your Teamarr sports-EPG configuration, including teams, event groups, templates, settings, channels, and Dispatcharr sync. Also provides curated tools for safe settings updates, template fillers, event channel summaries, unmatched stream discovery, and TheSportsDB gating checks.

Self-hosted football social-media agent that drafts posts, generates assets, and requires Telegram approval before publishing, with stateful SQLite storage and async image jobs.

Provides access to the Intervals.icu API for interacting with training data, activities, events, and wellness information.

Enables fetching sportsbook odds, live scores, and event information across 70+ books and 30+ leagues, with tools to list sports, get scores, and discover events.

CLI and MCP server for EdgeFinder sports analysis. Get AI-powered NFL, NBA, and MLB betting recommendations, player stats, odds, schedules, and Polymarket portfolio tracking from your terminal or AI agent.

Connects Claude to Strava data for natural language queries about rides, stats, and activities.

A server for querying surf spot data and searching spots, with tools to list regions, spots, get spot info, find spots by criteria, and get mock forecasts.

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