Strava MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Manual Activity, Get Activity Details, Get Athlete Profile, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Strava through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Strava app connector for Vercel AI 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
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Strava, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Vercel AI SDK gives every Strava tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK
When Vercel AI 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.
Add manual workout
Get activity info
Get your info
Check totals
Get route info
Get segment info
List your activities
List joined clubs
List your routes
List favorite segments
Update workout info
Verify API key
Connect Strava to Vercel AI SDK via MCP
Follow these steps to wire Strava into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Strava MCP Server
Vercel AI SDK provides unique advantages when paired with Strava through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Strava integration everywhere
Built-in streaming UI primitives let you display Strava tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Strava + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Strava MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Strava in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Strava tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Strava capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Strava through natural language queries
Example Prompts for Strava in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Strava immediately.
"List my last 5 activities on Strava."
"Show me my training summary for the past week with distance, elevation, and heart rate zones."
"Compare my running performance this month versus last month with pace and distance trends."
Troubleshooting Strava MCP Server with Vercel AI SDK
Common issues when connecting Strava to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpStrava + Vercel AI SDK FAQ
Common questions about integrating Strava MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.