What software is required?
Python 3.10+, Claude Desktop, a Strava account, and the `uv` package manager (recommended).
@MCP-Mirror
基本情報
Mirror of
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"rbctmz_mcp-server-strava": {
"command": "uv",
"args": [
"pip",
"install",
"."
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
An MCP server that connects Strava data to AI assistants via the Model Context Protocol. It analyzes workouts, provides training recommendations, and manages Strava API authentication automatically.
Install Python 3.10+, clone the repository, and use uv to install dependencies. Configure a Strava API application, create a .env file from the template, run python scripts/auth.py to obtain tokens, then launch with mcp dev src/server.py.
Python 3.10+, Claude Desktop, a Strava account, and the `uv` package manager (recommended).
Run `python scripts/auth.py` after setting up your Strava API application and filling the required client ID, client secret, and callback domain in the `.env` file.
Yes, the server enforces a rate limit of 100 API requests per 15 minutes to comply with Strava’s limits.
Resources: `strava://activities`, `strava://activities/{id}`, `strava://athlete/zones`, `strava://athlete/clubs`, `strava://gear/{gear_id}`. Tools: `analyze_activity`, `analyze_training_load`, `get_activity_recommendations`.
Yes, it is released under the MIT license and contributions are welcome via GitHub pull requests.

Gives AI agents public URLs (tunnels) for localhost, live HTTP traffic inspection, snapshot publishing, and access control. Part of LocalCan, the ngrok alternative for Mac, Windows and Linux. Free plan.

Kaiva Bridge turns your API, database or documents into a managed MCP server for Claude, ChatGPT, Cursor and VS Code. Point it at an OpenAPI or Swagger spec, an API docs link, a cURL command, a Postman collection, a Grap

SSH MCP server for AI agents: remote commands, file transfer, log search and server audits through OpenSSH.

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.
コメント