🏃 Runalyze MCP Server

Access your Runalyze health metrics through AI assistants using the Model Context Protocol (MCP)

A secure MCP server that lets you retrieve health data (HRV, Sleep, Resting Heart Rate, Activities) from your Runalyze account directly within AI chat applications like Claude Desktop and ChatGPT Desktop.

🎯 Choose Your Setup

This server can be used in two ways. Choose the option that works best for you:

🖥️ Local Setup

Run on your own computer

Pros:

• ✅ Complete privacy - data stays on your machine

• ✅ No internet required after setup

• ✅ Free to use

• ✅ Full control

Cons:

• ⚠️ Requires Node.js installation

• ⚠️ Need to build from source

• ⚠️ Only works on the computer where it's installed

Setup time: ~5 minutes

👉 Setup Locally

☁️ Hosted Setup

Use our hosted server

Pros:

• ✅ No installation required

• ✅ Works from any device

• ✅ Always up-to-date

• ✅ Quick 2-minute setup

Cons:

• ⚠️ Requires internet connection

• ⚠️ Depends on hosted service availability

Setup time: ~2 minutes

Server URL: https://runalyze-mcp-server.fly.dev

👉 Use Hosted Version

Security Note: Both options are secure. The hosted version does NOT store your API token - you provide it with each request, just like the local version stores it in your config file.

Related MCP server: Pierre Fitness Platform MCP Server

📖 Table of Contents

• Option 1: Local Setup

  • Prerequisites

  • Installation

  • Configure Your AI Tool

• Option 2: Hosted Setup

  • Configure Your AI Tool

• What You Can Do

• Troubleshooting

🖥️ Option 1: Local Setup

Run the MCP server on your own computer.

Prerequisites

Before you start, make sure you have:

• Node.js v18 or higher (via Devbox or manual install)

• Yarn package manager (Installation guide)

• A Runalyze account with premium access (Get premium)

• An AI assistant that supports MCP (Claude Desktop, ChatGPT Desktop, VS Code extensions, etc.)

Installation

Step 1: Download and Build

# Clone the repository
git clone https://github.com/floriankimmel/runalyze-mcp-server.git
cd runalyze-mcp-server

Option A: Using Devbox (Recommended)

Devbox provides isolated, reproducible dev environments.

1. Install devbox and direnv:

   # macOS
   brew install devbox direnv

2. Enable direnv in the project:

   direnv allow

3. Run devbox scripts:

   devbox run install  # yarn install
   devbox run build    # yarn build
   devbox run dev      # yarn start:dev
   devbox run dev:http # yarn start:http:dev

Option B: Manual Setup

# Install dependencies
yarn install

# Build the server
yarn build

The compiled server will be in the dist/ directory.

Step 2: Get Your Runalyze API Token

1. Log in to your Runalyze account

2. Go to Settings → Personal API: https://runalyze.com/settings/personal-api

3. Click Generate new token

4. Copy the token (you'll need it in the next step)

Configure Your AI Tool (Local)

Choose your AI assistant and follow the configuration steps:

For Claude Desktop 🟣

1. Locate your configuration file:

   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

   • Windows: %APPDATA%\Claude\claude_desktop_config.json

   • Linux: ~/.config/Claude/claude_desktop_config.json

2. Add the server configuration:

{
  "mcpServers": {
    "runalyze": {
      "command": "node",
      "args": [
        "/absolute/path/to/runalyze-mcp-server/dist/main.js"
      ],
      "env": {
        "RUNALYZE_API_TOKEN": "your-api-token-here"
      }
    }
  }
}

3. Replace the values:

   • Change /absolute/path/to/runalyze-mcp-server to where you installed the server

   • Replace your-api-token-here with your Runalyze API token

4. Restart Claude Desktop

For ChatGPT Desktop 🟢

1. Open ChatGPT Desktop settings

2. Navigate to Developer Settings → MCP Servers

3. Click Add Server and configure:

   • Name: runalyze

   • Command: node

   • Arguments: /absolute/path/to/runalyze-mcp-server/dist/main.js

   • Environment Variables:

     • Key: RUNALYZE_API_TOKEN

     • Value: your-api-token-here

4. Save and restart ChatGPT Desktop

For Cline (VS Code Extension) 💙

1. Open VS Code settings (JSON)

2. Add this configuration:

{
  "mcp.servers": {
    "runalyze": {
      "command": "node",
      "args": [
        "/absolute/path/to/runalyze-mcp-server/dist/main.js"
      ],
      "env": {
        "RUNALYZE_API_TOKEN": "your-api-token-here"
      }
    }
  }
}

3. Replace the path and token with your values

4. Reload VS Code

For Continue (VS Code Extension) 🔵

1. Open Continue configuration file (~/.continue/config.json)

2. Add to the mcpServers array:

{
  "mcpServers": [
    {
      "name": "runalyze",
      "command": "node",
      "args": [
        "/absolute/path/to/runalyze-mcp-server/dist/main.js"
      ],
      "env": {
        "RUNALYZE_API_TOKEN": "your-api-token-here"
      }
    }
  ]
}

3. Replace the path and token with your values

4. Restart Continue

For Zed Editor 🌟

1. Open Zed settings (~/.config/zed/settings.json)

2. Add this configuration:

{
  "mcp": {
    "servers": {
      "runalyze": {
        "command": "node",
        "args": [
          "/absolute/path/to/runalyze-mcp-server/dist/main.js"
        ],
        "env": {
          "RUNALYZE_API_TOKEN": "your-api-token-here"
        }
      }
    }
  }
}

3. Replace the path and token with your values

4. Restart Zed

☁️ Option 2: Hosted Setup

Use our hosted MCP server - no installation required!

Server URL: https://runalyze-mcp-server.fly.dev

Get Your Runalyze API Token

1. Log in to your Runalyze account

2. Go to Settings → Personal API: https://runalyze.com/settings/personal-api

3. Click Generate new token

4. Copy the token (you'll need it in the next step)

Configure Your AI Tool (Hosted)

Choose your AI assistant and follow the configuration steps:

For Claude Desktop 🟣

Note: Claude Desktop currently only supports STDIO transport. To use the hosted version, you would need an HTTP-to-STDIO bridge. For now, we recommend using the Local Setup with Claude Desktop.

For ChatGPT Desktop 🟢

Note: Check if ChatGPT Desktop supports HTTP transport for MCP servers. If not, use the Local Setup instead.

For MCP Clients with HTTP Support

If your AI tool supports MCP over HTTP, configure it with:

• Endpoint URL: https://runalyze-mcp-server.fly.dev/mcp

• Authentication: Bearer token

• Token: Your Runalyze API token

Example configuration format:

{
  "mcpServers": {
    "runalyze": {
      "url": "https://runalyze-mcp-server.fly.dev/mcp",
      "transport": "http",
      "headers": {
        "Authorization": "Bearer YOUR_RUNALYZE_TOKEN"
      }
    }
  }
}

Direct HTTP API Usage

You can also use the hosted server directly via HTTP:

Health Check (no authentication required):

curl https://runalyze-mcp-server.fly.dev/health

Get HRV Data:

curl -X POST https://runalyze-mcp-server.fly.dev/mcp \
  -H "Authorization: Bearer YOUR_RUNALYZE_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "method": "tools/call",
    "params": {
      "name": "get-runalyze-hrv-data",
      "arguments": {"page": 1}
    }
  }'

Get Activities:

curl -X POST https://runalyze-mcp-server.fly.dev/mcp \
  -H "Authorization: Bearer YOUR_RUNALYZE_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "method": "tools/call",
    "params": {
      "name": "get-runalyze-activities",
      "arguments": {"page": 1}
    }
  }'

Get Activity Details:

curl -X POST https://runalyze-mcp-server.fly.dev/mcp \
  -H "Authorization: Bearer YOUR_RUNALYZE_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "method": "tools/call",
    "params": {
      "name": "get-runalyze-activity-detail",
      "arguments": {"id": 12345}
    }
  }'

🎯 What You Can Do

Once configured, you can ask your AI assistant questions like:

Activities

• "Show me my recent activities from Runalyze"

• "What workouts did I log this week?"

• "Get details for activity 12345"

• "Analyze my running data from last month"

Heart Rate Variability (HRV)

• "What's my latest HRV data?"

• "Show me my HRV trends over the past month"

• "How is my recovery looking based on HRV?"

Sleep Data

• "Show me my sleep data from last week"

• "How many hours did I sleep last night?"

• "What's my sleep pattern this month?"

Resting Heart Rate

• "What was my resting heart rate this morning?"

• "Show me my resting heart rate trend"

• "Is my resting heart rate improving?"

The AI will automatically fetch your data and provide insights!

Available Tools

The server provides these tools to your AI assistant:

1. get-runalyze-activities - Get your activity list (runs, rides, workouts)

2. get-runalyze-activity-detail - Get detailed info for a specific activity

3. get-runalyze-hrv-data - Retrieve Heart Rate Variability measurements

4. get-runalyze-sleep-data - Get sleep tracking data

5. get-runalyze-heart-rate-rest-data - Get resting heart rate measurements

All tools support pagination for browsing through historical data.

🔒 Security Notes

Local Setup

• Your API token is stored in your MCP client's configuration file on your computer

• All communication happens locally on your machine

• No data is sent to third parties

• Token is validated at startup

Hosted Setup

• No tokens are stored on the server

• Each request requires your Runalyze API token in the Authorization header

• You only access your own data

• All communication is over HTTPS

• The server is stateless - it doesn't remember anything between requests

Both options are secure. Choose based on your preference:

• Local = Maximum privacy, everything on your machine

• Hosted = Convenience, no installation needed

🐛 Troubleshooting

Local Setup Issues

Server won't start

• ✅ Check your API token is valid: https://runalyze.com/settings/personal-api

• ✅ Verify the path to dist/main.js is absolute and correct

• ✅ Ensure Node.js v18+ is installed: node --version

• ✅ Check you ran yarn build successfully

• ✅ Try running node /absolute/path/to/dist/main.js manually to see error messages

"Configuration validation failed"

• ✅ The RUNALYZE_API_TOKEN environment variable is missing in your config

• ✅ Double-check your MCP client configuration syntax (valid JSON)

• ✅ Ensure the token has no extra spaces or quotes

No data returned

• ✅ Verify you have data in your Runalyze account

• ✅ Check your account has premium/supporter access (required for API)

• ✅ Ensure your API token has the necessary permissions

• ✅ Try accessing https://runalyze.com/api/v1/metrics/hrv directly in your browser while logged in

AI assistant doesn't see the tools

• ✅ Restart your AI assistant after configuration changes

• ✅ Check the MCP server appears in the AI assistant's MCP server list

• ✅ Look for error messages in the AI assistant's logs/developer console

• ✅ Verify the JSON configuration is valid (use a JSON validator)

Hosted Setup Issues

Connection fails

• ✅ Check the server is running: curl https://runalyze-mcp-server.fly.dev/health

• ✅ Verify you have internet connectivity

• ✅ Ensure the URL is correct: https://runalyze-mcp-server.fly.dev/mcp

Authentication errors (401 Unauthorized)

• ✅ Ensure you're including the Authorization: Bearer YOUR_TOKEN header

• ✅ Verify your Runalyze API token is valid and not expired

• ✅ Check there are no extra spaces in the token

• ✅ Make sure you copied the complete token from Runalyze

404 or other errors

• ✅ Verify the endpoint path is /mcp not just /

• ✅ Check you're using POST method, not GET

• ✅ Ensure Content-Type header is application/json

AI tool doesn't support HTTP transport

• ✅ Many MCP clients currently only support STDIO transport

• ✅ Use the Local Setup instead

• ✅ Or use the HTTP API directly with curl/scripts

General Issues

Still having problems?

1. Check your Runalyze API token at https://runalyze.com/settings/personal-api

2. Verify you have premium access: https://runalyze.com/premium

3. Review Runalyze API Documentation

4. Check MCP Documentation

5. Open an issue on GitHub

📚 Learn More

• 🏃 Runalyze - Training analysis platform

• 📖 Model Context Protocol - MCP specification

• 🤖 Claude Desktop - AI assistant

• 💬 ChatGPT - AI assistant

🚀 For Developers

Want to contribute or deploy your own instance? Check out:

• GitHub Repository

• CONTRIBUTING.md - Development setup and guidelines

• Fly.io Deployment Guide - Host your own instance

📝 License

MIT

Made with ❤️ for the Runalyze community