"A search for information about Whoop (fitness tracker or other usage)" matching MCP servers:

Enables AI agents to sync WHOOP recovery, sleep, workouts, cycles, and body-measurement data into a local Postgres database and query it through fast, offline-capable MCP tools without repeatedly hitting WHOOP API rate limits.

A personal expense tracker exposed over MCP, enabling users to log and query expenses in natural language sentences. It features category inference, recurring expenses, soft deletes, and SQLite storage with no external database.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Enables local-first expense logging, editing, and analysis through natural language conversation, backed by a SQLite database and accessible via MCP over stdio.

A Model Context Protocol (MCP) server for tracking personal expenses. This server provides tools to add, list, and summarize expenses, utilizing a local SQLite database for storage.

Parses PDF receipts to extract grocery and shopping expenses, automatically categorizes items using smart rules and LLM fallback, and stores them in a local SQLite database for querying purchase history and spending patterns.

Enables AI assistants to track, query, summarize, and delete personal expenses stored in a local SQLite database via natural language.

Enables LLMs to record, list, update, and delete expenses and credits in a local SQLite database, with enforced categories and running balance summaries.

Enables tracking and managing personal expenses through a local SQLite database. Supports adding, editing, deleting, listing, and summarizing expenses by category, as well as managing credit accounts.

A lightweight MCP server for recording, browsing, and summarizing expenses locally using SQLite, with a customizable categories resource.

Tracks and manages personal expenses with tools to add, view, filter by category, and summarize spending over date ranges using SQLite storage.

Enables recording and analyzing personal expenses locally in a SQLite database, with tools for adding expenses, listing them by date range, summarizing spending by category, and accessing a categories resource.

Enables managing expenses and credits through natural language, with tools for adding, listing, summarizing, editing, and deleting transactions stored in PostgreSQL.

An MCP server that lets Claude track, list, and summarize personal expenses through natural conversation, backed by SQLite and deployable locally or to FastMCP Cloud.

Enables read-only SQL queries and transaction classification tools for local expense tracking, including listing, filtering, and bulk account assignment with dry-run mode.

A Model Context Protocol (MCP) server that provides access to a trip tracking SQLite database. This server enables AI assistants to query and manage flight trip information including users, airports, and flight details.

A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.

An intelligent MCP server that integrates Gmail and MySQL to track subscriptions, detect gaps, and send proactive renewal alerts (3 days in advance) to reduce costs.

Enables tracking food intake and nutrition using the USDA FoodData Central database. Supports logging meals, setting daily nutrition goals, viewing food diaries, and analyzing nutrition trends over time with local SQLite storage.