"Accessing Hevy workout tracking app data" matching MCP servers:

Provides Claude with SQL access to Hevy workout history and personal training conventions stored in a SQLite database. It enables detailed analysis of exercise progress, volume trends, and muscle group mappings through natural language queries.

A generic MCP server for tracking any entity type (e.g., weight, workouts, books) without predefined schemas, using SQLite with JSON columns for flexible data storage and querying.

Enables Claude/Lyra to create, monitor, and manage live sessions for long-running operations such as downloads, conversions, and agent jobs, with progress metrics, logs, error alerts, and a Textual dashboard; it also ingests updates from external media-server tools.

Connects AI assistants directly to Hevy workout data, enabling analysis of training volume, strength progression tracking, and web searches for fitness research.

MCP server that connects Claude to the Hevy fitness app, enabling AI-driven personalized strength coaching by reading lifting history and programming workouts.

Enables natural language time tracking through Claude with markdown file storage. Supports multi-company tracking, flexible time parsing, auto-calculated summaries, and commitment warnings all through conversational input.

Connects agents and other MCP hosts directly to the official Hevy Public API for reading workouts, routines, exercise templates and history, routine folders, body measurements, and account information. Writes stay gated behind a server-level opt-in plus per-call confirmation, with credentials kept local via Keychain, an environment variable, or a key file.

Tracks personal expenses with tools to add, edit, and summarize expenses, storing data locally in SQLite.

Enables users to ask directly within a Claude Code or Codex chat how much energy and CO2eq their current session or entire project has consumed, estimated locally from session logs with no telemetry or network calls. It also reports everyday-activity equivalents such as kettle boils or washing machine cycles for the resulting figures.

MCP server for creating, listing, inspecting, and validating tracking plans for ecommerce and lead-generation businesses, with JSON storage and TypeScript implementation.

Enables project and task management through a lightweight SQLite database, allowing users to create projects, add categorized tasks, track status changes, and get project statistics through natural language commands.

Enables reading Hevy workout data and creating workout routines and logged workouts through Hevy's public API.

MCP server that turns raw in-app screenshots into beautiful, store-ready marketing images for the iOS App Store and Google Play.

MCP server for looking up apps, reviews, ratings, charts, in-app purchases, privacy details, and version history on Apple's App Store. It requires no API key.

An orchestrator MCP server that takes a plain-language app description and guides agents through a full workflow from intake to deployment, including design, audit, and maintenance.

Enables MCP clients to start new Codex conversations and continue existing threads, exposing codex and codex-reply tools over stdio via the Codex app-server protocol.

An MCP server for vibe coders to generate app icons with AI, auto-resize for iOS/Android, and publish to app stores, all from an AI coding assistant.

Enables AI agents to build and edit MIT App Inventor projects as .aia files, supporting screens, components, properties, blocks, assets, and project merging.

An MCP server for reliable iOS Simulator automation that enables agents to control devices, read accessibility UI trees, and capture screenshots. It supports deterministic grounded actions like tapping, typing, and swiping to create a closed-loop observe-reason-act cycle.

MCP server for capturing real UI screenshots using Playwright. Provides tools to capture a URL or capture with login and selectors.