Strava MCP Server for Google ADKGive Google ADK instant access to 12 tools to Create Manual Activity, Get Activity Details, Get Athlete Profile, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Strava as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Strava app connector for Google ADK 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
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_agent",
instruction=(
"You help users interact with Strava "
"using 12 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Strava as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 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
- 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 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.
All 12 Strava tools available for Google ADK
When Google ADK 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 Google ADK via MCP
Follow these steps to wire Strava into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Strava MCP Server
Google ADK provides unique advantages when paired with Strava 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
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 tools with BigQuery, Vertex AI, and Cloud Functions
Strava + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Strava MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Strava and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Strava tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Strava 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
Example Prompts for Strava in Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Strava to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkStrava + Google ADK FAQ
Common questions about integrating Strava MCP Server with Google ADK.