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Strava MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create Manual Activity, Get Activity Details, Get Athlete Profile, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Strava through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Strava app connector for OpenAI Agents SDK 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

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Strava Assistant",
            instructions=(
                "You help users interact with Strava. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Strava"
        )
        print(result.final_output)

asyncio.run(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.

The OpenAI Agents SDK auto-discovers all 12 tools from Strava through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Strava, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

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

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from Strava

Why Use OpenAI Agents SDK with the Strava MCP Server

OpenAI Agents SDK provides unique advantages when paired with Strava through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Strava + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Strava MCP Server delivers measurable value.

01

Automated workflows: build agents that query Strava, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Strava, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Strava tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Strava to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Strava in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Strava to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Strava + OpenAI Agents SDK FAQ

Common questions about integrating Strava MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.