Strava MCP Chatbot

by marekratho

332 downloads

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GitHub

Description

# Strava MCP Chatbot This is a simple Python chatbot that connects to a locally hosted MCP (Model Context Protocol) server. The chatbot acts as an elite cycling coach, analyzing Strava activities and providing interactive, data-driven feedback. ## Features - Connects to a local…

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Details

Author: marekratho
Downloads: 332
Categories: AI

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Strava MCP Chatbot

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

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.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

Strava MCP Chatbot

This is a simple Python chatbot that connects to a locally hosted MCP (Model Context Protocol) server. The chatbot acts as an elite cycling coach, analyzing Strava activities and providing interactive, data-driven feedback.

Features

- Connects to a local MCP server via stdio.
- Uses OpenAI GPT-4o for generating responses.

Setup

1. Strava MCP Server
- Setup Strava MCP server in accordance with instructions in this repository

2. Install Python dependencies:

   pip install -r requirements.txt

3. Set up your environment variables:
- Create a .env file in the src directory.
- Add the following params into your .env:

     OPENAI_API_KEY

     MCP_SERVER_PATH=/path/to/your/mcp-server.js

4. Run the chatbot:

   python src/chatbot_agent.py

Usage

- When prompted, enter your message or Strava activity details.
- Type exit or quit to stop the chatbot.

License

MIT License

---

This project is for demonstration purposes and is not affiliated with Strava or Mathieu van der Poel.

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Description

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

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Strava MCP Chatbot

Features

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