Strava Planning MCP Server for Claude Desktop 14 tools — connect in under 2 minutes
Claude Desktop is Anthropic's native application for interacting with Claude AI models on macOS and Windows. It was the first consumer application to ship with built-in MCP support, making it the reference implementation for the Model Context Protocol standard.
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{
"mcpServers": {
"strava-planning": {
// Your Vinkius token. get it at cloud.vinkius.com
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Claude Desktop is the definitive way to connect Strava Planning to your AI workflow. Add Vinkius Edge URL to your config, restart the app, and Claude immediately exposes all 14 tools in the chat interface. ask a question, Claude calls the right tool, and you see the answer. Zero code, zero context switching.
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 Claude Desktop 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 Claude Desktop via MCP
Follow these steps to integrate the Strava Planning MCP Server with Claude Desktop.
Open Claude Desktop Settings
Go to Settings → Developer → Edit Config to open claude_desktop_config.json
Add the MCP Server
Paste the configuration above into the mcpServers section
Restart Claude Desktop
Close and reopen Claude Desktop to load the new server
Start using Strava Planning
Look for the 🔌 icon in the chat. your 14 tools are now available
Why Use Claude Desktop with the Strava Planning MCP Server
Claude Desktop by Anthropic provides unique advantages when paired with Strava Planning through the Model Context Protocol.
Claude Desktop is the reference MCP client. it was designed alongside the protocol itself, ensuring the most complete and stable MCP implementation available
Zero-code configuration: add a server URL to a JSON file and Claude instantly discovers and exposes all available tools in the chat interface
Claude's extended thinking capability lets it reason through multi-step tool usage, chaining multiple API calls to answer complex questions
Enterprise-grade security with local config storage. your tokens never leave your machine, and connections go directly to Vinkius Edge network
Strava Planning + Claude Desktop Use Cases
Practical scenarios where Claude Desktop combined with the Strava Planning MCP Server delivers measurable value.
Interactive data exploration: ask Claude to query DNS records, look up WHOIS data, and cross-reference results in a single conversation
Ad-hoc security audits: type a domain name and let Claude enumerate subdomains, check DNS history, and flag configuration anomalies. all through natural language
Executive briefings: generate comprehensive domain intelligence reports by asking Claude to compile findings into a formatted summary
Learning and training: new team members can explore API capabilities conversationally without needing to read documentation
Strava Planning MCP Tools for Claude Desktop (14)
These 14 tools become available when you connect Strava Planning to Claude Desktop 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 Claude Desktop
Ready-to-use prompts you can give your Claude Desktop 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 Claude Desktop
Common issues when connecting Strava Planning to Claude Desktop through the Vinkius, and how to resolve them.
Server not appearing after restart
~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\\Claude\\ (Windows).Authentication error
Tools not showing in chat
Strava Planning + Claude Desktop FAQ
Common questions about integrating Strava Planning MCP Server with Claude Desktop.
How does Claude Desktop discover MCP tools?
claude_desktop_config.json file and connects to each configured MCP server. It calls the tools/list endpoint to fetch the schema for every available tool, then surfaces them as clickable options in the chat interface via the 🔌 icon.What happens if the MCP server is temporarily unavailable?
Can I connect multiple MCP servers simultaneously?
mcpServers section of the config file. Each server appears as a separate tool provider, and Claude can use tools from multiple servers in a single conversation turn.Is there a limit on the number of tools per server?
Does Claude Desktop support Streamable HTTP transport?
Connect Strava Planning with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Planning to Claude Desktop
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.
