Strava Social MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Strava Social as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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_social_agent",
instruction=(
"You help users interact with Strava Social "
"using 10 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 Social MCP Server
Connect Strava Social to any AI agent and explore the social side of Strava — activity feeds, kudos, comments, club memberships, and segment discovery.
Google ADK natively supports Strava Social as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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 Feed — Browse your recent activities with full details, kudos counts, and comment counts
- Activity Comments — Read all comments on any activity with author names and text
- Activity Kudos — See who liked/supports your activities with full athlete profiles
- Athlete Profile — Get your Strava profile details including location, follower counts, and equipment
- Club Membership — List all clubs you belong to with member counts and sport types
- Club Details — Explore any club's description, location, and community focus
- Club Members — Browse club membership to find training partners and local athletes
- Club Activities — See what club members have been doing recently
- Starred Segments — Review all your favorited segments with PR times and characteristics
- Segment Discovery — Explore segments in any geographic area by bounding box, filterable by type and difficulty
The Strava Social MCP Server exposes 10 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 Social to Google ADK via MCP
Follow these steps to integrate the Strava Social 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 10 tools from Strava Social via MCP
Why Use Google ADK with the Strava Social MCP Server
Google ADK provides unique advantages when paired with Strava Social 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 Social
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 Social tools with BigQuery, Vertex AI, and Cloud Functions
Strava Social + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Strava Social MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Strava Social and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Strava Social tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Strava Social 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 Social
Strava Social MCP Tools for Google ADK (10)
These 10 tools become available when you connect Strava Social to Google ADK via MCP:
explore_segments
g., "-74.00,40.70,-73.95,40.75" for Manhattan). Optional filters: activity_type ("running" or "riding"), min_cat/max_cat (category 0-5, where 0 is hardest/steepest). Returns segments with name, distance, elevation, grade, and climb category. Use this to discover new training routes, find popular segments in an area, or plan rides/runs in a new city. Explore and discover Strava segments in a geographic area
get_activity_comments
Each comment includes athlete name, text, and creation date. The activityId is the numeric ID from Strava activity URLs. Use this to see community engagement on a workout, read feedback, or track conversation around a specific activity. Get all comments on a specific Strava activity
get_activity_kudos
Each entry includes athlete name, profile picture, and city. The activityId is the numeric ID from Strava. Use this to see who supported an activity, understand social engagement, or track training partners' interactions. Get the list of athletes who gave kudos (likes) to a specific activity
get_athlete
Use this to understand the athlete's identity, location, and equipment setup. Get the authenticated athlete's profile information
get_club
The clubId is found in Strava club URLs. Use this to explore club details before joining or to understand a club's focus and community. Get detailed information about a specific Strava club
list_activities
Activities are sorted by most recent first. Optional filters: "before" (epoch timestamp, defaults to now), "after" (epoch timestamp for date range), "page" and "per_page" (pagination, max 200 per page, max 2000 total). Each activity includes: name, type, distance, moving_time, elevation, kudos_count, comment_count, start_date, and basic stats. Use this to get the activity feed, analyze recent workouts, or review training history. Epoch timestamps can be generated from dates. List the authenticated athlete's activities with optional date filtering and pagination
list_athlete_clubs
Each club includes name, member count, city, country, sport type (cycling/running/triathlon), and privacy status. Use this to discover club memberships, find training groups, or understand community affiliations. List all clubs the authenticated athlete belongs to
list_club_activities
Each entry includes athlete name, activity name, type, distance, and date. Paginated (30 per page). The clubId is from Strava club URLs. Use this to stay updated on club training activity, discover what members are doing, or find group workout opportunities. Get recent activities from members of a Strava club
list_club_members
Paginated (30 per page). The clubId is from Strava club URLs. Use this to discover training partners in a club, find athletes in your area, or explore club community composition. List members of a specific Strava club
list_starred_segments
Each segment includes: name, distance, elevation gain, average grade, activity type, city, country, and the athlete's PR time if any. Use this to review favorite segments, plan training routes, or track progress on key segments over time. List all segments starred (favorited) by the authenticated athlete
Example Prompts for Strava Social in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Strava Social immediately.
"Show my recent activities."
"Explore cycling segments in Manhattan, NYC."
"Show comments on my latest activity."
Troubleshooting Strava Social MCP Server with Google ADK
Common issues when connecting Strava Social to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkStrava Social + Google ADK FAQ
Common questions about integrating Strava Social MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Strava Social with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Strava Social to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.