Model Context Protocol server for Strava API integration
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# Strava MCP Server  A Model Context Protocol (MCP) server for Strava integration. Access your activities, athlete stats, segments, and routes through Claude, ChatGPT, and other LLMs. [](https://www.python.org/downloads/) [](https://pypi.org/project/mcp-strava/) [](https://github.com/eddmann/strava-mcp/pkgs/container/strava-mcp) ## Overview This MCP server provides 11 tools to interact with your Strava account, organized into 5 categories: - Activities (2 tools) - Query and analyze your Strava activities - Athlete (1 tool) - Access profile, statistics, and training zones - Segments (3 tools) - Explore and track segment efforts - Routes (2 tools) - Manage and export routes - Analysis (3 tools) - Training insights, comparison, and similarity search Additionally, the server provides: - 1 MCP Resource - Athlete profile with stats and zones for ongoing context - 6 MCP Prompts - Templates for common queries (training analysis, segment performance, activity analysis, run comparison, training summary, race performance) **Deployment Options:** - **Stdio Mode**: Single-user local deployment (e.g., Claude Desktop, Cursor) - **HTTP Mode**: Multi-user deployment (e.g., ChatGPT, remote MCP deployment) ## Prerequisites - [uv](https://github.com/astral-sh/uv) (the package requires Python 3.11+, which uv can manage), OR - Docker ## Strava API Application Setup Before installation, you need to create a Strava API application: 1. Go to https://www.strava.com/settings/api 2. Create a new application with the following settings: - Application Name: Your choice (e.g., "My Strava MCP") - Category: Your choice (e.g., "Data Importer") - Club: Leave blank (optional) - Website: Can be anything (e.g., `http://localhost`) - **Authorization Callbac…
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