FitNotes Server

An MCP server for analyzing your FitNotes (Android & iOS) workout data. Connect with an LLM to get context-aware insights, uncover training patterns, track progress, and receive personalized recommendations based on your own fitness history.

Data

There are multiple ways to export your FitNotes data, such as exporting to CSV or using the "Android DB" option. Based on my experience, the "Android DB" export is better because it provides your workout data as a standard SQLite database with a decent schema out of the box. This makes it easy to explore and analyze and therefore the MCP server is designed to work directly with this database export.

Quick Start

1. Setup Environment

# Navigate to the project directory
cd /path/to/fitnotes_mcp

# Create virtual environment
python3 -m venv venv
source venv/bin/activate

# Install dependencies
pip install -e .

2. Add Your FitNotes Data

Export your FitNotes data (Android DB export) and place the .fitnotes file in the project directory. The server will use the FITNOTES_DB_PATH environment variable to locate your database file.

3. Configure Claude Desktop

You can use any LLM that supports MCP. We'll use Claude Desktop. Add the following to Claude desktop config.

Check this to know the location for the OS you are using.

{
  "mcpServers": {
    "fitnotes-server": {
      "command": "/path/to/your/venv/bin/python",
      "args": ["/path/to/mcp_fitnotes/run_server.py"],
      "cwd": "/path/to/mcp_fitnotes",
      "env": {
        "PYTHONPATH": "/path/to/mcp_fitnotes/src",
        "FITNOTES_DB_PATH": "/path/to/your/fitnotes.fitnotes"
      }
    }
  }
}

Important: Replace /path/to/your/venv/bin/python with your actual virtual environment Python path, /path/to/mcp_fitnotes/ with your actual project directory, and /path/to/your/fitnotes.fitnotes with the actual path to your FitNotes database file.

4. Start Chatting!

Open Claude Desktop and start asking about your workouts:

• "How's my bench press progressing?"
• "What muscle groups am I neglecting?"
• "Show me my workout summary for the last month"
• "Find my personal records"

Available MCP Tools

Core Analysis Tools

1. get_database_schema - View complete database structure
2. get_database_metadata - Get workout statistics and overview
3. execute_select_query - Run custom SELECT queries safely
4. get_sample_data - Explore table contents
5. get_workout_summary - Recent workout analysis with muscle group breakdown
6. analyze_exercise_progress - Detailed progress tracking for specific exercises
7. get_muscle_group_analysis - Training frequency and volume by muscle group

As you can see, the LLM does have a tool to execute queries but all database access is strictly read-only, with robust query validation to allow only safe SELECT statements. SQL injection protection is there and resource limits are enforced via query timeouts and result size caps.

Example Conversations

"How am I doing with my workouts lately?" Uses get_workout_summary to show recent activity, PRs, and muscle group balance

"Analyze my squat progress"
Uses analyze_exercise_progress to show weight progression, volume trends, and recent PRs

"What exercises did I do yesterday?" Uses execute_select_query with a custom date filter

"Am I training my back enough?" Uses get_muscle_group_analysis to compare back training with other muscle groups

"What exercises do I have available?" Uses execute_select_query to get a list of all exercises from the database

"Show me all my bicep exercises" Uses execute_select_query with custom filtering to find exercises by muscle group

Example Analysis

Here's a real example of the kind of analysis you can get:

Show my chest training progress of the last 3 months. Also give me insights and improvement areas.

Troubleshooting

Server won't start? Check that FITNOTES_DB_PATH environment variable points to your .fitnotes file and virtual environment is activated.

Database file not found? Verify the FITNOTES_DB_PATH variable points to the correct .fitnotes file path.

Claude can't connect? Verify MCP configuration paths in claude_desktop_config.json and restart Claude Desktop.