Strava Tool MCP Server: All 9 Activity Operations

Zero-config n8n MCP server exposing all 9 Strava activity operations (create, get, update, comments, kudos, laps, streams, zones) to AI agents via webhook.

n8n
Strava Tool MCP Server: All 9 Activity Operations

This n8n workflow creates a fully functional MCP (Multi-Chain Protocol) server that exposes every Strava Tool operation—9 in total, all focused on activities—for seamless integration with AI agents. Simply import, activate, and copy the webhook URL from the MCP trigger node to connect tools like Claude Desktop or custom AI apps. It uses native n8n Strava Tool nodes with AI expressions ($fromAI()) for automatic parameter population, full error handling, and retry logic.

Setup is effortless: no credentials or configurations needed beyond Strava API access in n8n. The workflow includes a central MCP trigger that routes requests to dedicated nodes for each operation, ensuring reliable responses in native Strava API format. This eliminates manual workflow building, saving hours of development time.

Key operations include creating activities, retrieving single/multiple activities, fetching comments, kudos, laps, streams, and zones, plus updates. Ideal for AI-driven fitness apps: automate activity logging from voice commands, analyze performance data, generate reports, or integrate with coaching bots.

Benefits include rapid AI agent enablement for Strava data management, scalability for high-volume requests, and robust error management. Use cases span personal fitness tracking, team analytics, content creation from workout data, and e-commerce fitness products with real-time stats.

$24.99
Last updated October 3, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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