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Strava Training MCP

Connect Strava training data to Claude for training load analysis and activity insights

Developer Tools stdio pypi pypistdioArjanLig
RUN IN TERMINAL
claude mcp add rjanig-strava-mcp -- uvx strava-training-mcp
ADD TO claude_desktop_config.json
{ "mcpServers": { "rjanig-strava-mcp": { "command": "uvx", "args": ["strava-training-mcp"] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "rjanig-strava-mcp": { "command": "uvx", "args": ["strava-training-mcp"] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "rjanig-strava-mcp": { "command": "uvx", "args": ["strava-training-mcp"] } } }

About This MCP Server

The io.github.ArjanLig/strava-mcp server is a developer tool that enables connection to Strava training data, allowing it to be used with AI coding assistants like Claude for analysis of training load and activity insights. This server facilitates the integration of Strava data into Claude's capabilities, providing developers with a means to access and utilize this data for various applications. Developers would use this server when they need to incorporate Strava training data into their projects for tasks such as training load analysis and activity insights.

Connect Strava training data to Claude for training load analysis and activity insights. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with developer tools capabilities via the stdio transport.

Package

strava-training-mcp on pypi

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.

What tools does it provide?

The Strava Training MCP server extends your AI assistant with developer tools capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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