MCP server for generic entity tracking with JSON Hybrid storage
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# Tracking MCP [](https://pypi.org/project/tracking-mcp/) [](https://pypi.org/project/tracking-mcp/) [](https://github.com/mindfullabai/tracking-mcp/blob/main/LICENSE) [](https://pypi.org/project/tracking-mcp/) [](https://github.com/mindfullabai/tracking-mcp/stargazers) **Generic MCP server for tracking any entity type with schema-less JSON Hybrid storage.** Track body weight, daily scorecards, fitness sessions, books, or any custom entity without defining rigid schemas. Auto-discovery, self-documenting, and SQL-queryable. ## Features - **Schema-less Design**: Track any entity type (weight, scorecard, fitness, books, custom) without ALTER TABLE - **Auto-Discovery**: Entity types automatically registered on first use - **Self-Documenting**: MCP Resources expose schema examples and usage guides - **SQL-Queryable**: Use `json_extract()` for advanced analytics - **Local-First**: Privacy-friendly, zero external dependencies - **Hybrid Storage**: SQLite with JSON columns for flexibility + performance - **CRUD Operations**: Insert, update, query, delete via MCP Tools - **Built-in Prompts**: Pre-configured templates for common tracking scenarios ## Installation ### From PyPI (when published) ```bash pip install tracking-mcp ``` ### From Source ```bash git clone https://github.com/mariomosca/tracking-mcp.git cd tracking-mcp pip install -e . ``` ### Initialize Database ```bash # Database will be auto-created in data/tracking.db # Or manually initialize: cd data sqlite3 tracking.db < schema.sql ``` ## Quick Start ### Claude Desktop Configuration Add to your Claude Desktop MCP settings (`~/Library/Application …
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