What data streams are available for activities?

Available streams include: time, distance, latlng (GPS coordinates), altitude, velocity_smooth (speed), heartrate, cadence, watts (power), temp (temperature), moving (moving flag), and grade_smooth (incline %). Request specific streams with comma-separated types, e.g., "heartrate,watts,velocity_smooth". Not all streams are available for every activity — it depends on the recording device.

What are activity zones and how are they calculated?

Activity zones show the time spent in each heart rate zone (Z1-Z5) or power zone during an activity. Zones are based on the athlete's personal zone configuration (set in Strava settings). Zone analysis reveals training intensity — whether a workout was aerobic (Z1-Z2), threshold (Z3), or anaerobic (Z4-Z5). This data requires a heart rate monitor or power meter.

How do I find my athlete ID on Strava?

Your athlete ID is the numeric portion of your Strava profile URL. For example, from https://www.strava.com/athletes/12345678, your athlete ID is 12345678. You can also get it from the get_athlete tool in the Strava Planning or Strava Social MCP servers.

Strava Training MCP Server for Windsurf 12 tools — connect in under 2 minutes

Name: Strava Training
Availability: InStock
Author: Vinkius

docs.windsurf.com/windsurf/mcp

Built by Vinkius GDPR 12 Tools IDE

Windsurf brings agentic AI coding to a purpose-built IDE. Connect Strava Training through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

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Classic Setup·json

{
  "mcpServers": {
    "strava-training": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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* 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 Training MCP Server

Connect Strava Training to any AI agent and unlock deep performance analysis from your Strava data — activity details, time-series streams, heart rate/power zones, segment efforts, lap splits, and lifetime athlete statistics.

Windsurf's Cascade agent chains multiple Strava Training tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 12 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

What you can do

Activity Details — Full metrics: distance, time, elevation, HR, power, speed, weather, gear
Activity Streams — Raw GPS, heart rate, power, cadence, altitude, speed, temperature, grade data
Activity Zones — Heart rate and power zone distribution for training intensity analysis
Activity Laps — Auto-split lap data with pace, distance, and elevation per split
Segment Efforts — Find, compare, and analyze all efforts on any segment with detailed metrics
Segment Streams — Elevation and grade profiles along segments for previewing difficulty
Segment Details — Distance, elevation, grade, effort count, and personal records
Athlete Statistics — Lifetime and recent totals for runs, rides, and all activities
Athlete Zones — Personal heart rate and power zone configurations
Gear Tracking — Equipment mileage, models, and primary gear assignments

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

How to Connect Strava Training to Windsurf via MCP

Follow these steps to integrate the Strava Training MCP Server with Windsurf.

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"

Add the server

Paste the JSON configuration above into mcp_config.json

Save and reload

Windsurf will detect the new server automatically

Start using Strava Training

Open Cascade and ask: "Using Strava Training, help me...". 12 tools available

Why Use Windsurf with the Strava Training MCP Server

Windsurf provides unique advantages when paired with Strava Training through the Model Context Protocol.

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

JSON-based configuration means zero code changes: paste a URL, reload, and all 12 tools are immediately available

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Strava Training + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Strava Training MCP Server delivers measurable value.

Automated code generation: ask Cascade to fetch data from Strava Training and generate models, types, or handlers based on real API responses

Live debugging: query Strava Training tools mid-session to inspect production data while debugging without leaving the editor

Documentation generation: pull schema information from Strava Training and have Cascade generate comprehensive API docs automatically

Rapid prototyping: combine Strava Training data with Cascade's code generation to scaffold entire features in minutes

Strava Training MCP Tools for Windsurf (12)

These 12 tools become available when you connect Strava Training to Windsurf via MCP:

get_activity

The activityId is the numeric ID from Strava activity URLs (e.g., strava.com/activities/12345678 → 12345678). Use this for deep analysis of any workout, ride, or run. Get detailed information about a specific Strava activity

get_activity_laps

Each lap includes distance, moving time, average speed, elevation gain, and pace. GPS devices and Strava auto-split activities into laps (typically ~1km or ~1mi). Use this to analyze pace consistency, identify fast/slow sections, and compare splits within a single activity. Get lap/split data for a Strava activity

get_activity_streams

The "types" parameter is comma-separated stream types: "time", "distance", "latlng", "altitude", "velocity_smooth", "heartrate", "cadence", "watts", "temp", "moving", "grade_smooth". Example: "heartrate,watts,velocity_smooth" for HR, power, and speed data. Each stream returns an array of values with corresponding timestamps. Use this for detailed performance analysis, visualization, or export. Get raw time-series data streams from a Strava activity (GPS, heart rate, power, cadence, altitude, speed, etc)

get_activity_zones

Requires activity ID. This data helps understand training intensity and whether the workout targeted the correct zones. Only available for activities with heart rate or power data. Summit/subscription feature. Get heart rate and power zone distribution for a Strava activity

get_athlete_stats

Use the athlete's Strava numeric ID. Returns recent_run_totals, recent_ride_totals, all_run_totals, all_ride_totals. Great for performance overview and progress tracking. Get consolidated activity statistics for any Strava athlete

get_athlete_zones

Requires profile:read_all scope. Use this to understand training zones for zone-based analysis of activities and efforts. Get the authenticated athlete's custom heart rate and power zones

get_gear

The gear ID is found in activity data or athlete profile. Use this to track equipment mileage, plan maintenance, or analyze performance with specific gear. Get details about a piece of equipment (bike, shoes) tracked in Strava

get_segment

The segment ID is found in Strava segment URLs. Use this to discover segment characteristics before attempting it or to compare segments. Get details of a Strava segment including distance, elevation, grade, and leaderboards

get_segment_effort

Includes elapsed time, distance, average speed, heart rate, power, start date, and activity reference. The effort ID is found in segment effort listings or activity details. Use this to analyze specific KOM/QOM attempts and compare efforts on the same segment. Get details of a specific segment effort (KOM/QOM/PR attempt)

get_segment_effort_streams

Same format as activity streams but limited to the segment portion. The "types" parameter is comma-separated: "time", "distance", "latlng", "altitude", "velocity_smooth", "heartrate", "cadence", "watts". Use this for granular analysis of segment performance. Get time-series data streams for a specific segment effort

get_segment_streams

Useful for previewing a segment's difficulty profile before attempting it. The "types" parameter accepts "distance", "altitude", "grade_smooth". Use this to understand elevation changes and steepness patterns along a segment. Get time-series data streams for a Strava segment (elevation profile, grade, etc)

list_segment_efforts

Filter by athlete_id (required), optionally segment_id to get efforts on a specific segment, and date range with start_date_local and end_date_local (ISO 8601 format). Use this to find PRs, analyze progress on segments over time, or compare multiple efforts on the same segment. List all segment efforts for an athlete, optionally filtered by segment and date range

Example Prompts for Strava Training in Windsurf

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

"Show my athlete statistics."

"Get activity streams for activity 12345678 with heart rate, power, and speed."

"Show my segment efforts on segment 22978."

Troubleshooting Strava Training MCP Server with Windsurf

Common issues when connecting Strava Training to Windsurf through the Vinkius, and how to resolve them.

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Strava Training + Windsurf FAQ

Common questions about integrating Strava Training MCP Server with Windsurf.

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.