Which MCP clients are supported?

Any client that speaks MCP including ChatGPT, Claude, QBot and chatMCP.

How are permissions handled?

All permissions, rate limits and audit logs come from the original Strava API.

HAPI Strava MCP Server

Verified

Strava API exposed as MCP tools via HAPI for AI agents.

MCP ServerAI & KnowledgeRemote (streamable-http) 8

View on GitHub

Updated 2026-06-16

What is the HAPI Strava MCP Server MCP server?

Built on the HAPI MCP framework, this server automatically lifts an existing Strava API specification into MCP-compatible tools. No additional business logic or sidecar services are required; governance and security remain those of the original Strava API.

The resulting streamable-http MCP endpoint works with any compliant client including ChatGPT, Claude and custom agents, enabling deterministic access to Strava data inside AI workflows.

Install & connect

Add this to your MCP client config. Pick your client below and copy.

{
  "mcpServers": {
    "strava": {
      "url": "https://strava.run.mcp.com.ai/mcp"
    }
  }
}

Tools it exposes

5 tools your AI client can call once connected.

athletes— Strava athlete profile and stats access

activities— Strava activity listing, details and creation

segments— Strava segment exploration and leaderboards

clubs— Strava club membership and activity data

routes— Strava route management and export

Example prompts

Once connected, try asking your AI client:

“List my last 10 Strava activities with distance and time

“Show athlete stats for user ID 12345

“Find popular segments near my location

“Export a route by its ID

Security & permissions

Requires a valid Strava OAuth token or API key passed via environment variables; runs as a remote streamable-http service and touches only data the authenticated Strava account can access.

What you can do with HAPI Strava MCP Server

Training analytics

Pull recent activities and segment efforts to generate personalized training insights.

Club management

Query club rosters and shared activities for community dashboards or reports.

Route planning

Retrieve and analyze saved routes to suggest new cycling or running paths.

How to use HAPI Strava MCP Server

1Install the HAPI CLI from the latest GitHub release.
2Provide your Strava OpenAPI spec to the hapi serve command.
3Supply Strava credentials through environment variables or OAuth.
4Start the server with the --headless flag to expose the MCP endpoint.
5Connect any MCP client to the published streamable-http URL.