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Strava MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Create Manual Activity, Get Activity Details, Get Athlete Profile, and more

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Strava through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The Strava app connector for Mastra AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "strava": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Strava Agent",
    instructions:
      "You help users interact with Strava " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Strava?"
  );
  console.log(result.text);
}

main();
Strava
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Strava MCP Server

Connect your Strava account to any AI agent to automate your athletic performance tracking and activity orchestration. Strava provides a premier platform for athletes to track their progress, and this integration allows you to retrieve activity metadata, monitor athlete statistics, and explore routes through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Strava tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Activity & Workout Orchestration — List all your athletic activities and retrieve detailed metadata, including distance, heart rate, and elevation programmatically.
  • Athlete Performance Monitoring — Access and monitor your athlete statistics and profile metadata to track your progress over time directly from the AI interface.
  • Route & Segment Intelligence — List available routes and starred segments to ensure your training paths are always synchronized via natural language.
  • Club & Social Insight — Access and monitor the clubs you belong to to maintain a clear overview of your athletic community engagement.
  • Data Management — Create and update activities programmatically to ensure your training log is always current and accurate using simple AI commands.

The Strava MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Strava tools available for Mastra AI

When Mastra AI connects to Strava through Vinkius, your AI agent gets direct access to every tool listed below — spanning activity-tracking, fitness-data, workout-logs, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_manual_activity

Add manual workout

get_activity_details

Get activity info

get_athlete_profile

Get your info

get_athlete_statistics

Check totals

get_route_details

Get route info

get_segment_details

Get segment info

list_athlete_activities

List your activities

list_athlete_clubs

List joined clubs

list_athlete_routes

List your routes

list_starred_segments

List favorite segments

modify_activity

Update workout info

test_strava_auth

Verify API key

Connect Strava to Mastra AI via MCP

Follow these steps to wire Strava into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 12 tools from Strava via MCP

Why Use Mastra AI with the Strava MCP Server

Mastra AI provides unique advantages when paired with Strava through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Strava without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Strava tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Strava + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Strava MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Strava, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Strava as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Strava on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Strava tools alongside other MCP servers

Example Prompts for Strava in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Strava immediately.

01

"List my last 5 activities on Strava."

02

"Show me my training summary for the past week with distance, elevation, and heart rate zones."

03

"Compare my running performance this month versus last month with pace and distance trends."

Troubleshooting Strava MCP Server with Mastra AI

Common issues when connecting Strava to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Strava + Mastra AI FAQ

Common questions about integrating Strava MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.