3,400+ MCP servers ready to use
Vinkius
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Bring Activity Tracking
to Mastra AI

Learn how to connect Strava to Mastra AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create Manual ActivityGet Activity DetailsGet Athlete ProfileGet Athlete StatisticsGet Route DetailsGet Segment DetailsList Athlete ActivitiesList Athlete ClubsList Athlete RoutesList Starred SegmentsModify ActivityTest Strava Auth

What is the 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.

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.

How it works

1. Subscribe to this server
2. Enter your Strava Access Token (OAuth2) from your developer settings
3. Start managing your athletic data from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Athletes & Fitness Enthusiasts — quickly retrieve recent workout details and monitor performance stats without switching apps.
  • Coaches & Trainers — automate the retrieval of athlete activity logs and monitor training progress via natural conversation.
  • Data Analysts — streamline the retrieval of workout metadata and monitor segment performance directly within the chat.

Built-in capabilities (12)

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

Why Mastra AI?

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.

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

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

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

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

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See it in action

Strava in Mastra AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Strava and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Strava to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Strava in Mastra AI

The Strava 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Strava
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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

The Vinkius Advantage

How Vinkius secures Strava for Mastra AI

Every tool call from Mastra AI to the Strava MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I find my Strava Access Token?

Log in to Strava Developers, create an API application, and you will find your Access Token in the settings. Note that you may need to use the OAuth flow to generate a long-lived or refreshed token.

02

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.

03

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.

04

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.

05

createMCPClient not exported

Install: npm install @mastra/mcp