"Telegram MCP Server by DLHellMe" matching MCP servers:

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.

Finds marked hiking routes from OpenStreetMap filtered by locally-computed elevation gain, distance, loop shape, and car/chairlift access, providing consistent and tunable metrics instead of third-party scraped data.

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.

Every FIFA World Cup since 1930 wrapped as 15 MCP tools — squads, brackets, stadiums, matches, awards, trivia. Powered by the Zafronix WC API.

MCP server that gives Claude programmatic access to a local En Croissant chess opening trainer, enabling conversational opening prep by reading its SQLite database, PGN files, and Lichess API. It supports repertoire review, due cards, and opponent statistics directly from chat.

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.

Allows Claude to access French Chess Federation public data in conversation, including player search, department tournament listings, tournament details, rankings, and round-by-round player results.

Enables AI assistants to query a user's own Garmin Connect training, health, and recovery history through Garmin's official Personal API, backed by a local cache and built-in analysis tools.

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 LLM clients to plan Swiss mountain outings by public transport, providing computed facts such as launch sites, flyability probabilities, and train connections.

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-assisted live ESPN fantasy football snake drafts by providing league-specific draft context, VORP-based value rankings, tier analysis, and real-time draft state.

Enables users to check whether a beach suits a beach day or a surf session today or up to six days ahead, using Open-Meteo weather and marine forecasts scored by deterministic, documented rules. It exposes tools for raw hourly forecast data, suitability scores and verdicts by activity and skill level, and finding the best multi-hour window within a day.

Enables AI assistants to monitor a Sleeper fantasy football draft in real time by retrieving draft picks, available players, current turn, and roster needs through Sleeper's public keyless API.

Real-time tennis data for ATP, WTA, Challenger and ITF: live scores, player rankings, match-winner odds, and model win-probability. 12 read-only tools; a tier-gated endpoint returns a plain-English explanation of which plan it needs rather than a bare 403. Requires a paid API key.

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.

Race nutrition planning for endurance athletes. Calculates carb, sodium and fluid targets for marathons, ultras, cycling and triathlons. Returns personalised Lecka product recommendations by race type, conditions and athlete weight.

Gives your MCP host (Claude Desktop, Cursor, Continue, Zed) access to live scores, match details, standings, top scorers, knockout brackets and player stats across football, basketball, cricket and tennis. Backed by the free public SportScore API — no key, no signup, CORS-open.

Enables rules-aware Fantasy Premier League decision-making by evaluating your squad, transfer options, chips, and signals to return legal hold, transfer, and chip recommendations with reasoning, risk, and outlook.

Enables querying composite NFL questions by requiring explicit definitions for ambiguous terms, rejecting unresolved ones and grounding answers in chosen definitions.

MCP chess runtime that lets LLMs play, analyze, and adapt strength by exposing Stockfish, human move likelihood (Maia3), and Lichess statistics, with the LLM handling strategy and the server handling computation.

Turns your own wearable data into coaching for hybrid fitness races by exposing readiness, running coach plans, fitness trends and training summaries as tools an agent can query. Keeps your data read-only at the provider and lets you log the station work and race profile your watch can't see in a local database.

Enables Claude and other MCP clients to answer NFL questions using 25+ years of real nflverse play-by-play and player statistics. Provides tools for situational stats, leaderboards, player game logs, team schedules, and player name disambiguation.

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.

Connects Claude to the SportRadar MLB API to access real-time baseball data including game schedules, live scores, player statistics, team standings, injury reports, and play-by-play information 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.

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.

Enables natural-language querying of a local DuckDB warehouse of NFL play-by-play data, converting questions into SQL and returning results.

Enables AI agents to safely interact with golf course operations by providing real-time inventory, booking rules, pricing policies, and a self-learning memory system.

Enables answering questions about your disc golf rounds, courses, hole-by-hole scores and scoring trends, plus practice-throw speed, distance, spin and angle, read entirely from your own CSV exports with no credentials or network access.