How do I export a route to my GPS device?

First, use list_routes to find your route ID. Then use export_route_gpx or export_route_tcx with that route ID. The GPX file can be downloaded and loaded onto Garmin, Wahoo, or other GPS devices for turn-by-turn navigation during your workout.

Can I log activities that Strava doesn't automatically track?

Yes! Use create_activity to manually log any workout — gym sessions, yoga, swimming, hiking, cross-training. Provide the name, type (e.g., "Workout", "Yoga", "Swim"), start date, elapsed time, and optionally distance and description. This keeps all your training in one place.

How do I track my bike and shoe mileage?

Use get_gear with the gear ID to see total accumulated distance. Gear IDs are found in your athlete profile or assigned to activities. You can assign gear to activities using update_activity with the gear_id parameter. Track mileage to know when to replace chains, tires, or running shoes.

Strava Planning MCP Server for Google ADK 14 tools — connect in under 2 minutes

Name: Strava Planning
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 14 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Strava Planning as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="strava_planning_agent",
    instruction=(
        "You help users interact with Strava Planning "
        "using 14 available tools."
    ),
    tools=[mcp_tools],
)

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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 Planning MCP Server

Connect Strava Planning to any AI agent and manage your training logistics — route creation, GPX/TCX export, manual activity logging, gear tracking, segment favoriting, and profile management.

Google ADK natively supports Strava Planning as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 14 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Route Management — List, view, and analyze all your saved routes with distance, elevation, and descriptions
Route Streams — Get GPS coordinates, elevation profiles, and distance data for any route
Route Export — Export routes to GPX and TCX formats for GPS devices (Garmin, Wahoo, etc.)
Manual Activity Creation — Log activities not recorded by Strava (gym, yoga, cross-training) with full details
Activity Updates — Edit activity names, descriptions, assign gear, mark commutes or indoor sessions
File Uploads — Upload FIT, TCX, or GPX files for processing by Strava with status tracking
Segment Management — Star (favorite) or unstar segments for quick training access
Athlete Profile — View and update your profile information including weight for accurate power-to-weight ratios
Athlete Zones — Review your heart rate and power zone configurations
Gear Details — Track equipment mileage, models, and primary gear assignments

The Strava Planning MCP Server exposes 14 tools through the Vinkius. Connect it to Google ADK 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 Planning to Google ADK via MCP

Follow these steps to integrate the Strava Planning MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 14 tools from Strava Planning via MCP

Why Use Google ADK with the Strava Planning MCP Server

Google ADK provides unique advantages when paired with Strava Planning through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Strava Planning

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Strava Planning tools with BigQuery, Vertex AI, and Cloud Functions

Strava Planning + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Strava Planning MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Strava Planning and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Strava Planning tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Strava Planning regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Strava Planning

Strava Planning MCP Tools for Google ADK (14)

These 14 tools become available when you connect Strava Planning to Google ADK via MCP:

create_activity

Required: name (activity name), type (activity type like "Run", "Ride", "Swim", "Walk", "Hike"), startDate (ISO 8601 format), elapsedTime (seconds). Optional: description, distance (meters). Use this to log activities recorded outside of Strava (gym workouts, yoga, cross-training, etc.). Activity types must match Strava's valid types list. Create a manual activity in Strava

export_route_gpx

GPX files can be downloaded and loaded onto GPS devices (Garmin, Wahoo, etc.) for navigation. The routeId is from Strava route URLs. Use this to export routes to your GPS device for guided training. Get the GPX export URL for a Strava route

export_route_tcx

TCX files include route data with additional training metadata. Compatible with Garmin Training Center and other fitness platforms. Use this to export routes with training metadata. Get the TCX export URL for a Strava route

get_athlete

Use this to review personal profile details, check equipment assignments, or verify account settings. Get the authenticated athlete's profile information

get_athlete_zones

Required for zone-based training analysis. Use this to review training zones, ensure zones are correctly set, or use zone data for activity analysis. Get the athlete's custom heart rate and power zones

get_gear

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

get_route

The routeId is found in Strava route URLs. Use this to review route characteristics before training or to plan similar routes. Get detailed information about a specific Strava route

get_route_streams

The "types" parameter is comma-separated: "latlng", "altitude", "distance". Use this to preview a route's elevation profile, understand the terrain, or export GPS data for navigation. Get elevation and GPS data streams for a Strava route

get_upload_status

Status values: "Your activity is ready" (success), "Your activity is still processing" (wait and retry), or error messages. The uploadId is returned by upload_activity. Poll this endpoint every 5-10 seconds after upload until ready. Check the status of a Strava activity upload

list_routes

Each route includes: name, distance, elevation gain, type (ride/run), description, and whether it's private. Use this to review saved routes, plan upcoming workouts, or export route data for GPS devices. List all routes created by the authenticated athlete

star_segment

Set starred=true to favorite, starred=false to unfavorite. The segmentId is from Strava segment URLs. Use this to manage your favorite segments for quick access and training focus. Star (favorite) or unstar a Strava segment

update_activity

The activityId is the numeric ID. Updatable fields: name, description, sport_type, gear_id (to assign equipment), commute (mark as commute: "true"/"false"), trainer (mark as indoor: "true"/"false"). Use this to correct activity details, assign gear, or add descriptions after the fact. Update an existing Strava activity

update_athlete

Currently only "weight" (in kg) is supported by the API. Accurate weight is important for power-to-weight ratio calculations and performance analysis. Use this when your weight changes to keep performance metrics accurate. Update the authenticated athlete's profile information

upload_activity

Supported data_type: "fit", "fit.gz", "tcx", "tcx.gz", "gpx", "gpx.gz". Returns an upload ID to check status with get_upload_status. Note: Actual file upload requires multipart/form-data with the file content. This endpoint initiates the process. Check upload status periodically — processing takes 10-60 seconds. Upload an activity file (FIT, TCX, GPX) to Strava for processing

Example Prompts for Strava Planning in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Strava Planning immediately.

"List all my saved routes."

"Export route 12345 to GPX format."

"Create a manual activity for today's gym session."

Troubleshooting Strava Planning MCP Server with Google ADK

Common issues when connecting Strava Planning to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Strava Planning + Google ADK FAQ

Common questions about integrating Strava Planning MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.