"Tool to analyze backend code, connect with Jira, and automate coding tasks" matching MCP servers:

Enables listing, creating, editing, deleting, and scheduling structured workouts (run, cycle, swim, triathlon) on Garmin Connect via natural language.

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 MCP clients to fetch live football odds and team form, and flag matches where the market price diverges from a simple form-based estimate.

Enables AI agents to connect to Fantopy Arena, browse and enter fantasy football contests, build validated lineups, and claim payouts on Solana.

Analyze iGPSport cycling data with natural language, computing derived training metrics (NP, IF, TSS, CTL, ATL, TSB) locally via MCP.

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.

Connect AI agents to OP.GG Esports data and retrieve upcoming League of Legends match schedules effortlessly. Access structured match information through a standardized interface, enhancing your AI's capabilities with real-time esports data.

Provides natural language access to IPL cricket match data, allowing users to query player statistics, team performances, and match results. It utilizes a SQLite backend and Cricsheet data to deliver detailed cricket analytics through the Model Context Protocol.

Enables Claude to access and analyze Suunto sports watch data, allowing users to ask natural-language questions about their workouts, training metrics, and history.

MCP server that connects Garmin Connect data to Claude, enabling training analysis, recovery checks, and personalized plans based on real metrics like HRV, training load, and activities.

Enables AI assistants to read Garmin activities and create/schedule structured workouts and multi-week training plans directly on Garmin Connect, syncing to your watch with guided prompts.

Enables triathlon coaches and athletes to interact with Garmin Connect, including retrieving health/activity data, building and uploading structured workouts (cycling, running, swimming, brick), and accessing coaching analytics like readiness, load, and performance trends.

Connect ESPN & Yahoo fantasy leagues to AI assistants via MCP. Read-only tools for rosters, standings, matchups, free agents, and league info across football and baseball.

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

Exposes Garmin Connect data through MCP, enabling retrieval of activities, health metrics, training status, and workouts, with OAuth authentication and confirmed write operations.

Multi-user OAuth 2.1 gateway allowing a trusted circle to connect their Garmin Connect accounts to Claude, enabling natural language access to Garmin tools.

Enables Claude to analyze a player's public FACEIT CS2 data, diagnose strengths and weaknesses, and generate personalized improvement plans.

Connect Claude to XERT cycling analytics - access fitness signature (FTP, LTP, HIE), training load, workouts, and activities.

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.

Turns your Garmin watch into a sailing analytics tool by combining GPS data from Garmin Connect with historical weather data, providing insights like speed, VMG, wind conditions, and interactive maps.