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Strava MCP Chatbot

@marekratho

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

marekratho

Strava MCP Chatbot について

概要はまだありません

#mcp-server#chatbot#cycling-coach

Strava MCP Chatbot の設定

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": {
    "mcp_server_playground": {
      "command": "python",
      "args": [
        "src/chatbot_agent.py"
      ]
    }
  }
}

Strava MCP Chatbot のツール

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。

概要

What is Strava MCP Chatbot?

Strava MCP Chatbot is a Python-based chatbot that connects to a locally hosted Model Context Protocol (MCP) server for Strava. It uses OpenAI GPT-4o to act as an elite cycling coach, analyzing Strava activities and delivering interactive, data-driven feedback.

How to use Strava MCP Chatbot?

First, set up the Strava MCP server following the instructions in the linked repository. Then install Python dependencies with pip install -r requirements.txt, create a .env file in the src directory with OPENAI_API_KEY and MCP_SERVER_PATH, and run python src/chatbot_agent.py. Enter your message or Strava activity details at the prompt; type exit or quit to stop.

Key features of Strava MCP Chatbot

  • Connects to a local MCP server via stdio.
  • Uses OpenAI GPT-4o for response generation.
  • Acts as an elite cycling coach analyzing Strava activities.
  • Provides interactive, data-driven feedback.
  • Simple text-based interface with exit/quit commands.

Use cases of Strava MCP Chatbot

  • Analyzing cycling activities from Strava with AI-powered coaching feedback.
  • Interactive conversational analysis of performance data.
  • Data-driven coaching advice for cyclists.

よくある質問

1

What does Strava MCP Chatbot do?

It connects to a Strava MCP server and uses OpenAI GPT-4o to provide an elite cycling coach experience, analyzing your Strava activities and giving interactive feedback.

2

What are the prerequisites?

You need the Strava MCP server set up, Python, an OpenAI API key (stored in a `.env` file), and the path to the MCP server JavaScript file.

3

How do I run Strava MCP Chatbot?

After setting up the server and environment, run `python src/chatbot_agent.py` from the project directory.

4

How do I stop the chatbot?

Type `exit` or `quit` at the input prompt to end the session.

5

What kind of input does the chatbot expect?

You can enter any message or Strava activity details. The chatbot will process them in the context of a cycling coach.

コメント

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