"Using Strava Data for Analysis or Integration" matching MCP servers:

Privacy-first MCP server for Strava activities, streams, routes and training data.

Enables full integration with Strava API v3 for managing activities, athletes, clubs, segments, and routes through MCP-compatible clients like Claude Desktop.

MCP server for Strava integration, enabling LLMs to query activities, athlete stats, segments, routes, and perform training analysis.

Exposes your Strava data to Claude, enabling training load analysis, activity comparison, and lap splits via conversation.

An MCP server that integrates Strava OAuth for remote connections, enabling users to authenticate with their Strava account and access Strava data through the MCP protocol.

An MCP server that supplements the official Strava connector with write access, segments, routes, photos, derived analysis, and interactive visualizations.

MCP server to fetch Strava activities using OAuth authentication with automatic token refresh. Allows retrieving recent activities, activities by date range, activity details, and athlete stats.

Integrates Strava data for marathon coaching and training analysis, enabling Claude Desktop to access recent runs, weekly mileage, and pace trends.

Enables querying and analyzing personal Strava activity data through natural language, including activities, segments, gear, and training trends.

Enables AI assistants to read your Strava training data and answer plain-language questions about activities, splits, and totals across sports like running, skiing, and hiking.

Exposes Strava training data to Claude for coaching, planning, and analysis via a read-only MCP server with OAuth and Docker support.

Connects Strava training data to Claude, enabling personalized coaching through analysis of training load, workout planning, gear maintenance, and power metrics.

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

An MCP server that enables interaction with the Strava API v3 to manage fitness activities, athlete profiles, segments, and routes. It supports retrieving detailed performance metrics, exploring geographic data, and managing club information through natural language.

Enables AI agents to interact with the Strava API to retrieve athlete statistics and activity data. It provides tools for listing recent activities and fetching detailed information for specific workout sessions.

A TypeScript server that acts as a bridge to the Strava API, enabling LLMs to access users' activities, routes, segments, and athlete data through natural language interaction.

A read-only local MCP server for querying your own Strava data from Codex, providing tools for activities, athlete profile, stats, gear, and more.

A local, read-only Model Context Protocol server for an athlete's Strava profile and activities, enabling retrieval of profile data, activity lists (with paging and date filters), and detailed activity information via standard input/output for MCP hosts.

Enables users to interact with their Strava data through natural language to analyze workouts, track fitness progress, and explore routes. It supports retrieving detailed activity stats, heart rate data, and segment insights directly within AI assistants.

Connects Claude or any MCP client to the Strava API v3, enabling access to fitness data such as activities, athletes, clubs, segments, routes, and streams.