MCP server for AI agents: manage Strava data (activitie

This automation template enables AI agents to interact directly with Strava data via an MCP server built on n8n and LangChain. It processes AI requests to retrieve, create, and update workout records, including detailed metrics like laps, heart rate zones, comments, and kudos. The workflow acts as a bridge between AI platforms and Strava’s fitness tracking ecosystem, eliminating the need for custom API clients.

## Who it´s for
- AI agent developers integrating fitness data
- App owners building athlete-facing tools with Strava API
- Analysts automating workout data collection
- Health-tech companies creating activity-based personalization

## What the automation does
- Accepts requests from AI agents via MCP interface
- Retrieves activity details: route, pace, duration, heart rate zones, streams
- Creates new Strava activities upon AI command
- Updates existing entries: title, description, visibility settings
- Fetches comments, kudos, and lap segments
- Returns structured data back to the AI system

## What´s included
- Ready-to-run n8n workflow
- Request handling logic for LangChain MCP client
- Integrations with Strava API and AI Agent Platform
- Basic setup and adaptation guide

## Requirements for setup
- n8n instance with external API access
- Strava API credentials (OAuth token)
- Running LangChain MCP client
- AI agent capable of sending requests to an MCP server

## Benefits and outcomes
- Accelerates Strava integration with AI tools
- Eliminates manual parsing of workout data
- Enables voice and text commands for activity management
- Provides centralized access to fitness metrics
- Reduces development effort with pre-built API logic

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via в чате.