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Track any entity type with flexible fields, SQLite storage, and querying.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Tracking MCP" yet — see the docs or source repo.
Use Tracking MCP to set up a personal fitness tracker for daily weight, workout type, duration, and notes, then summarize trends over the last 30 days.
A reusable fitness log plus a summary of weight and workout trends for the last 30 days.
Use Tracking MCP to track my reading list with title, author, reading status, rating, and notes, then list books completed with ratings above 4.
Flexible reading-tracker data and a filtered list of books that match the criteria.
Use Tracking MCP to create a product experiment tracker with experiment name, goal, start date, key metrics, results, and conclusion, then find the experiment with the biggest conversion lift.
A product experiment log and a query result identifying the best-performing experiment.
Securely connect to and operate MySQL databases through the MCP protocol.
Enable AI to create, manage, and query SQLite databases with required metadata.
Query and manage multiple databases with read-only access and schema inspection.
Access multiple SQL databases with schema discovery, caching, and safety controls.
Use natural language to query, write, aggregate, and manage MongoDB collections.
Connect to PostgreSQL and MySQL, run SQL, and manage database transactions.