"A tool for using Claude to edit locally stored code" matching MCP servers:

Exposes a single tool for Claude to fetch recent Strava activities, including detailed metrics and lap breakdowns, for automatic training summaries.

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.

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.

Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.

Enables Claude to securely read Sleeper fantasy football league data over the internet via the public API, supporting access from both Claude Desktop and mobile devices.

Provides a tool to retrieve today's 2026 FIFA World Cup matches, including teams, time, venue, and scores.

Connects Claude to your Strava account so you can query your activities, stats, routes, and segments using natural language.

MCP server that enables Claude Desktop to access real-time sports data including live scores, fixtures, standings, and NBA statistics using free APIs.

Enables AI assistants to discover, explore, and query Formula 1 data stored in AWS, using Athena and Glue for schema inspection, sample data, and custom analytical queries.

A private, read-only MCP server that gives local Codex and Claude Desktop sessions access to athletics and wellness data from a Garmin Forerunner 55. It runs locally over stdio, exposes read-only tools for daily health, recovery, performance, and workouts, and caches data in SQLite.

A minimal Python MCP server that provides surf forecasts for a single Surfline spot. It fetches both conditions and rating data through the get_surf_forecast tool.

Enables Claude to answer Formula 1 questions using real public data: race, sprint and qualifying results back to 1950, lap and sector times, 4 Hz car telemetry, tyre stints, pit stops and undercut strategy, plus locally drawn speed-trace and gear-shift plots. Also covers live session timing — positions, gaps, tyres, flags and weather — through 77 read-only tools that need no account, login or API key.

Enables LLMs to accurately convert climbing grades across different rating systems using a data-driven approach.

Enables fast real-time web search and access to premium data from trusted sources including news, financial markets, sports, and more. Supports AI agents with live data and curated content from various domains.

AI-powered MCP server for sports predictions providing news sentiment analysis, injury impact assessment, and weather intelligence using Claude (Bedrock) and OpenWeatherMap.

Enables AI assistants like Claude to read a single user's own Strava account through its API: profile and totals, activities with laps, splits, zones and per-second streams, plus segments, routes, gear and clubs. It is strictly read-only, using the user's own Strava API application and OAuth tokens stored locally, and returns model-friendly, context-sized data.

Enables Claude to interact with Sleeper fantasy football leagues via MCP tools for roster, waiver, matchup, and transaction queries, plus a dashboard for daily reports, live scoring, and game-day alerts.

Optimizes your starting XI for Biwenger World Cup 2026 using fixed prices, with API endpoints for lineup optimization, player comparisons, and captain picks. Operates locally without accessing your actual Biwenger account.

Live CS2 FACEIT data for Claude — query player stats, match history, head-to-head comparisons, recent form, per-map breakdowns, and full match scoreboards for any public FACEIT player using natural language.