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Strava MCP Chatbot

@marekratho

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

marekratho

关于 Strava MCP Chatbot

暂无概览

#mcp-server#chatbot#cycling-coach

Strava MCP Chatbot 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Strava MCP Chatbot 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

常见问题

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.

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