Strava

by ctvidic

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About

Integrates with the Strava API to enable access to fitness tracking data and activity information for analyzing workout patterns and athletic performance.

Details

Author: ctvidic
Repository: ctvidic/strava-mcp-server
GitHub stars: 2
License: MIT License
Categories: Cloud Service, Other, API, Design, Developer Tools, AI, Infrastructure, Knowledge Base
Tags: #integration

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

Command (node, npx, python, etc.) python
Arguments
- Argument 1 src/strava_server.py
Environment
- STRAVA_CLIENT_ID your_client_id
- STRAVA_CLIENT_SECRET your_client_secret
- STRAVA_REFRESH_TOKEN your_refresh_token
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": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "strava": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "strava": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

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": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "strava": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "strava": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

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": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "strava": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "strava": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

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": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "strava": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "strava": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

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": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "strava": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "strava": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

From the repository

Prerequisites

- Python 3.12+
- Strava API credentials
- pip (Python package installer)

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "strava": {
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            },
            "args": [
                "src/strava_server.py"
            ],
            "command": "python"
        }
    }
}

Linux

{
    "cwd": "/path/to/strava_mcp",
    "env": {
        "STRAVA_CLIENT_ID": "your_client_id",
        "STRAVA_CLIENT_SECRET": "your_client_secret",
        "STRAVA_REFRESH_TOKEN": "your_refresh_token"
    },
    "args": [
        "src/strava_server.py"
    ],
    "command": "python"
}

Macos

{
    "cwd": "/path/to/strava_mcp",
    "env": {
        "STRAVA_CLIENT_ID": "your_client_id",
        "STRAVA_CLIENT_SECRET": "your_client_secret",
        "STRAVA_REFRESH_TOKEN": "your_refresh_token"
    },
    "args": [
        "src/strava_server.py"
    ],
    "command": "python"
}

Windows

{
    "cwd": "/path/to/strava_mcp",
    "env": {
        "STRAVA_CLIENT_ID": "your_client_id",
        "STRAVA_CLIENT_SECRET": "your_client_secret",
        "STRAVA_REFRESH_TOKEN": "your_refresh_token"
    },
    "args": [
        "src/strava_server.py"
    ],
    "command": "python"
}

Strava MCP Server

A Model Context Protocol (MCP) server that provides access to the Strava API. This server enables language models to interact with Strava data, including activities, athlete information, and more.

Features

- 🏃‍♂️ Activity tracking and analysis
- 📊 Athlete statistics
- 🗺️ Route visualization
- 🏆 Achievement tracking
- 🤝 Social features (kudos, comments)

Prerequisites

- Python 3.12+
- Strava API credentials
- pip (Python package installer)

Installation

1. Clone the repository:

git clone https://github.com/yourusername/strava_mcp.git

cd strava_mcp

2. Create a virtual environment:

python -m venv venv

source venv/bin/activate  # On Windows: .\venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

Configuration

1. Create a config/.env file with your Strava API credentials:

STRAVA_CLIENT_ID=your_client_id

STRAVA_CLIENT_SECRET=your_client_secret

STRAVA_REFRESH_TOKEN=your_refresh_token

2. To obtain Strava API credentials:
- Go to https://www.strava.com/settings/api
- Create a new application
- Note down the Client ID and Client Secret
- Follow the OAuth 2.0 flow to get your refresh token

Usage

Using with Claude

Once connected, you can interact with your Strava data through Claude in various ways:

Activity Queries

- "Show me my recent activities" - "Get details about my last run" - "What was my longest ride this month?" - "Show me activities where I set personal records" - "Display the route map for my latest activity"

Performance Analysis

- "What's my average running pace this year?" - "Compare my cycling performance between last month and this month" - "Show me my heart rate zones from yesterday's workout" - "What's my total elevation gain for all activities?" - "Calculate my weekly mileage for running"

Social Interactions

- "Who gave kudos on my latest activity?" - "Show me comments on my marathon run" - "List all my club activities" - "Find activities I did with friends"

Achievement Tracking

- "List all my segment achievements" - "Show my personal records on local segments" - "What achievements did I earn this week?" - "Display my progress on yearly goals"

Data Available Through Claude

1. Activity Details: - Distance, duration, pace - Route maps and elevation profiles - Heart rate, power, and cadence data - Splits and lap information - Weather conditions during activity

2. Athlete Statistics:
- Year-to-date and all-time totals
- Personal records and achievements
- Training load and fitness trends
- Equipment usage and maintenance

3. Social Data:
- Kudos and comments
- Club activities and leaderboards
- Friend activities and challenges
- Segment efforts and rankings

4. Route Information:
- Detailed maps with elevation data
- Segment analysis
- Popular routes and segments
- Route planning and analysis

As an MCP Server

Update your Claude Desktop configuration:

{
    "mcpServers": {
        "Strava": {
            "command": "python",
            "args": ["src/strava_server.py"],
            "cwd": "/path/to/strava_mcp",
            "env": {
                "STRAVA_CLIENT_ID": "your_client_id",
                "STRAVA_CLIENT_SECRET": "your_client_secret",
                "STRAVA_REFRESH_TOKEN": "your_refresh_token"
            }
        }
    }
}

As an HTTP Server

1. Start the server:

./run_server.sh

2. Access the API at http://localhost:8000

Available endpoints:
- GET /activities/recent - List recent activities
- GET /activities/{id} - Get activity details
- GET /activities/{id}/map - Get activity map visualization
- GET /athlete/stats - Get athlete statistics

Development

Project Structure

strava_mcp/
├── src/
│   ├── strava_server.py      # MCP server implementation
│   ├── strava_http_server.py # HTTP API server
│   ├── map_utils.py          # Map visualization utilities
│   └── templates.py          # HTML templates
├── config/
│   └── .env                  # Environment variables (not in git)
├── requirements.txt          # Python dependencies
└── run_server.sh            # Server startup script

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

Security

- Never commit .env files or API credentials
- The .gitignore file is configured to prevent sensitive data from being committed
- Use environment variables for all sensitive configuration

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

- Strava API Documentation
- Model Context Protocol (MCP) Specification
- Contributors and maintainers 29:["$","div",null,{"className":"my-8 pb-8 h-full max-w-5xl mx-auto","children":["$","d

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About

Details

Jump to

Setting up with Highlight

From the repository

Prerequisites

Claude Desktop / Cursor

Linux

Macos

Windows

Strava MCP Server

Features

Prerequisites

Installation

Configuration

Usage

Using with Claude

Activity Queries

Performance Analysis

Social Interactions

Achievement Tracking

Data Available Through Claude

As an MCP Server

As an HTTP Server

Development

Project Structure

Contributing

Security

License

Acknowledgments

Install

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