Strava Server

БесплатноНе проверен

Connects Claude to the Strava API to provide direct access to fitness data, including athlete statistics, detailed activity logs, and time-series performance me

автор: KerkhofMe

GitHub Embed

Описание

Connects Claude to the Strava API to provide direct access to fitness data, including athlete statistics, detailed activity logs, and time-series performance metrics. It enables users to analyze training progress, compare workouts, and retrieve specific segment details through natural language queries.

README

An MCP (Model Context Protocol) server that connects Claude to the Strava API, giving Claude direct access to your training data.

Features

Athlete Profile — Get your Strava profile info
Athlete Stats — Lifetime and recent totals (runs, rides, swims)
Activities — List recent activities or filter by date range
Activity Details — Deep dive into any single activity
Activity Streams — Time-series data: GPS, heartrate, power, cadence, altitude
Segments — Starred segments and segment details

Setup

1. Create a Strava API Application

Go to strava.com/settings/api
Create an application — set the Authorization Callback Domain to localhost
Note your Client ID and Client Secret

2. Install & Authorize

npm install
npm run setup

The setup wizard will:

Ask for your Client ID and Client Secret
Open your browser to authorize with Strava
Automatically catch the callback and exchange tokens
Write your .env file

3. Build

npm run build

Manual setup (alternative)

Open this URL in your browser (replace CLIENT_ID):

https://www.strava.com/oauth/authorize?client_id=CLIENT_ID&response_type=code&redirect_uri=http://localhost&scope=read_all,activity:read_all

After authorizing, you'll be redirected to http://localhost?code=AUTHORIZATION_CODE. Copy the code and exchange it:

curl -s -X POST 'https://www.strava.com/oauth/token' \
  -F 'client_id=CLIENT_ID' \
  -F 'client_secret=CLIENT_SECRET' \
  -F 'code=AUTHORIZATION_CODE' \
  -F 'grant_type=authorization_code'

Save the refresh_token from the response and create a .env file:

STRAVA_CLIENT_ID=your_client_id
STRAVA_CLIENT_SECRET=your_client_secret
STRAVA_REFRESH_TOKEN=your_refresh_token

4. Configure Claude Desktop

Option A: Docker (recommended)

Build the Docker image:

docker build -t strava-mcp-server .

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "strava": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "--env-file", "/absolute/path/to/your/.env",
        "strava-mcp-server"
      ]
    }
  }
}

Replace /absolute/path/to/your/.env with the full path to your .env file.

Option B: Node.js (local)

{
  "mcpServers": {
    "strava": {
      "command": "node",
      "args": ["/Users/USERNAME/Apps/StravaMCP/dist/index.js"],
      "env": {
        "STRAVA_CLIENT_ID": "your_client_id",
        "STRAVA_CLIENT_SECRET": "your_client_secret",
        "STRAVA_REFRESH_TOKEN": "your_refresh_token"
      }
    }
  }
}

Restart Claude Desktop. You should see the Strava tools available in the tools menu (hammer icon).

Available Tools

Tool	Description
`get_athlete`	Get your Strava profile
`get_athlete_stats`	Get lifetime and recent statistics
`get_activities`	List recent activities (paginated)
`get_activities_between`	Get all activities within a date range (auto-paginated)
`get_activity`	Get detailed info for one activity
`get_activity_laps`	Get lap/split data for an activity
`get_activity_zones`	Get HR and power zone distribution
`get_activity_streams`	Get time-series data (GPS, HR, power, etc.)
`get_starred_segments`	Get your starred segments
`get_segment`	Get details for a specific segment
`get_segment_efforts`	Get your efforts on a segment (with optional date filter)

Example Prompts

Once connected, try asking Claude:

"What were my activities this week?"
"Analyze my running performance over the past month"
"Compare my cycling times in January vs February"
"Show me my heartrate data from my last run"
"What are my all-time stats?"

Development

# Run in dev mode (no build step)
npm run dev

# Build for production
npm run build
npm start

License

MIT

from github.com/KerkhofMe/StravaMCP

Как установить

Выполни в терминале:

claude mcp add strava-mcp-server -- npx

Compare Strava Server with

Strava ServervsFetch Strava ServervsAWS KB Retrieval Strava ServervsSpring AI MCP Server Strava Servervsllm-analysis-assistant

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Strava Server

БесплатноНе проверен

Connects Claude to the Strava API to provide direct access to fitness data, including athlete statistics, detailed activity logs, and time-series performance me

автор: KerkhofMe

GitHub Embed

Описание

README

An MCP (Model Context Protocol) server that connects Claude to the Strava API, giving Claude direct access to your training data.

Features

Athlete Profile — Get your Strava profile info
Athlete Stats — Lifetime and recent totals (runs, rides, swims)
Activities — List recent activities or filter by date range
Activity Details — Deep dive into any single activity
Activity Streams — Time-series data: GPS, heartrate, power, cadence, altitude
Segments — Starred segments and segment details

Setup

1. Create a Strava API Application

Go to strava.com/settings/api
Create an application — set the Authorization Callback Domain to localhost
Note your Client ID and Client Secret

2. Install & Authorize

npm install
npm run setup

The setup wizard will:

Ask for your Client ID and Client Secret
Open your browser to authorize with Strava
Automatically catch the callback and exchange tokens
Write your .env file

3. Build

npm run build

Manual setup (alternative)

Open this URL in your browser (replace CLIENT_ID):

https://www.strava.com/oauth/authorize?client_id=CLIENT_ID&response_type=code&redirect_uri=http://localhost&scope=read_all,activity:read_all

After authorizing, you'll be redirected to http://localhost?code=AUTHORIZATION_CODE. Copy the code and exchange it:

curl -s -X POST 'https://www.strava.com/oauth/token' \
  -F 'client_id=CLIENT_ID' \
  -F 'client_secret=CLIENT_SECRET' \
  -F 'code=AUTHORIZATION_CODE' \
  -F 'grant_type=authorization_code'

Save the refresh_token from the response and create a .env file:

STRAVA_CLIENT_ID=your_client_id
STRAVA_CLIENT_SECRET=your_client_secret
STRAVA_REFRESH_TOKEN=your_refresh_token

4. Configure Claude Desktop

Option A: Docker (recommended)

Build the Docker image:

docker build -t strava-mcp-server .

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "strava": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "--env-file", "/absolute/path/to/your/.env",
        "strava-mcp-server"
      ]
    }
  }
}

Replace /absolute/path/to/your/.env with the full path to your .env file.

Option B: Node.js (local)

{
  "mcpServers": {
    "strava": {
      "command": "node",
      "args": ["/Users/USERNAME/Apps/StravaMCP/dist/index.js"],
      "env": {
        "STRAVA_CLIENT_ID": "your_client_id",
        "STRAVA_CLIENT_SECRET": "your_client_secret",
        "STRAVA_REFRESH_TOKEN": "your_refresh_token"
      }
    }
  }
}

Restart Claude Desktop. You should see the Strava tools available in the tools menu (hammer icon).

Available Tools

Tool	Description
`get_athlete`	Get your Strava profile
`get_athlete_stats`	Get lifetime and recent statistics
`get_activities`	List recent activities (paginated)
`get_activities_between`	Get all activities within a date range (auto-paginated)
`get_activity`	Get detailed info for one activity
`get_activity_laps`	Get lap/split data for an activity
`get_activity_zones`	Get HR and power zone distribution
`get_activity_streams`	Get time-series data (GPS, HR, power, etc.)
`get_starred_segments`	Get your starred segments
`get_segment`	Get details for a specific segment
`get_segment_efforts`	Get your efforts on a segment (with optional date filter)

Example Prompts

Once connected, try asking Claude:

"What were my activities this week?"
"Analyze my running performance over the past month"
"Compare my cycling times in January vs February"
"Show me my heartrate data from my last run"
"What are my all-time stats?"

Development

# Run in dev mode (no build step)
npm run dev

# Build for production
npm run build
npm start

License

MIT

from github.com/KerkhofMe/StravaMCP

Как установить

Выполни в терминале:

claude mcp add strava-mcp-server -- npx

Compare Strava Server with

Strava ServervsFetch Strava ServervsAWS KB Retrieval Strava ServervsSpring AI MCP Server Strava Servervsllm-analysis-assistant

Не уверен что выбрать?

Найди свой стек за 60 секунд

Автор?

Embed-бейдж для README

Похожее

Все в категории ai

Command Palette

Strava Server

Описание

README

Features

Setup

1. Create a Strava API Application

2. Install & Authorize

3. Build

4. Configure Claude Desktop

Option A: Docker (recommended)

Option B: Node.js (local)

Available Tools

Example Prompts

Development

License

Как установить

Похожие MCP

Fetch

AWS KB Retrieval

Spring AI MCP Server

llm-analysis-assistant

Compare Strava Server with

Strava Server

Описание

README

Features

Setup

1. Create a Strava API Application

2. Install & Authorize

3. Build

4. Configure Claude Desktop

Option A: Docker (recommended)

Option B: Node.js (local)

Available Tools

Example Prompts

Development

License

Как установить

Похожие MCP

Fetch

AWS KB Retrieval

Spring AI MCP Server

llm-analysis-assistant

Compare Strava Server with