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

Enables Claude to read and manage App Store listings, builds, TestFlight testers, localized store texts, screenshots, and customer reviews through Apple's official App Store Connect API, with read-only access by default and explicit approval for each change.

Connects Claude to Apple's App Store Connect API, letting you manage apps, builds, TestFlight beta groups and testers, customer reviews and replies, sales and finance reports, and team users through natural language. Write actions such as invites, beta review submissions, and review responses require confirmation before anything is sent.

Lets Claude and other AI agents work with Apple's developer API to manage app metadata, versions, review submissions, builds, TestFlight, customer reviews, reports, Xcode Cloud, devices, and team members, with optional read-only safeguards.

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.

Gives AI assistants complete, spec-driven access to Apple's App Store Connect API through 1300+ tools covering the full surface — apps and versions, TestFlight, Xcode Cloud, Game Center, App Clips, in-app purchases and subscriptions, pricing, review submissions, provisioning, analytics, sales and finance reports. It lets users automate submission workflows, manage multi-account credentials, and orchestrate builds and releases across any MCP client.

Enables operators to run executable, evidence-bounded validation of MCP apps by exposing a read-only inspect_boundary tool and an inline HTML resource, allowing observation of model-visible, component-visible, component-only, and host-capability projections without overclaiming runtime or host acceptance.

Enables management of App Store Connect and TestFlight beta testers, including adding/removing testers by email and listing apps and beta groups using an individual API key.

Enables running SQL warehouse validation checks through natural-language questions in MCP clients, while reusing the same logic for automated pipeline and CI/CD runs.

Enables AI assistants to generate realistic, synthetic test data on demand, including valid PESELs, NIPs, addresses, and more across 27 EU countries, through two tools: list_generators and generate.

Thin HTTP wrapper for the Generate-Data.com API, enabling data generation, schema proposal, and field type listing through MCP tools.

Generates fixed-length test data records with customizable field types including strings, enums, integers, dates, and fillers. Helps developers create realistic test datasets with specified formats and constraints.

Enables Baldur's Gate 3 modders to look up game data across base-game and mod layers, run static lint checks on stats and progressions, test changes in a running game through the Script Extender, and export mods for Larian Toolkit/mod.io publishing. It also packs, deploys and restarts the game so mods can be iterated on without leaving the assistant.

Generates importable Optimizely CMS 12 .episerverdata packages from content plans by reading a content-type export and writing the file, without interacting with a CMS instance.

MCP server for comparing JSON, XML, XLSX, CSV, and text data using expected templates, returning pass/fail with difference details.

Enables a stateless, horizontally scaled MCP server using the 2026-07-28 specification, with tools for load testing and instance-aware operations.

Paid remote MCP for Skybridge that packages apps, validates schemas, runs compatibility tests, and exports manifests with audit-ready JSON evidence.

An MCP server that mocks payments, third-party API responses, and test data to enable QA flows for donation, checkout, SIP, and subscription pages without depending on a live gateway.

Enables AI assistants to manage Apple App Store Connect resources like apps, builds, TestFlight, and reviews through natural language.

Gives AI agents a private, locally-run Chrome-for-Testing browser they drive directly, letting them fetch WAF-protected pages, capture network and screenshot evidence, harvest e-commerce catalogs, and run performance, accessibility, SEO, and cross-engine QA inspections through standard MCP tools. It also provides click-flow smoke tests, visual baselines, page comparison, and diagnostics, all without a cloud relay or the user's personal Chrome profile.

Enables hosts to launch an MCP App game whose view dynamically registers WebMCP tools for looking, moving, lighting lanterns, and handling tool changes and errors, so hosts can be tested for WebMCP-in-MCP-App support.

Enables live keyboard testing, timed typing tests, key-code lookup, rollover checks, layout comparison, switch discovery, and keyboard build planning through read-only tools.

A debug tool for platform developers to verify that their MCP App hosts correctly implement protocol specifications like context injection and message sending. It provides a blind selection test to ensure seamless end-to-end communication between the UI, host, and model.

Enables AI coding assistants to distribute iOS and Android builds to BetaDrop testers, manage share links, track releases, and manage API tokens entirely through natural language prompts.

Enables AI assistants to automate mobile devices (Android and iOS) through a single DSL interface, supporting actions like tap, type, swipe, and assertions.

Enables AI agents to run deterministic data-center engineering calculations and commissioning audits, including liquid-cooling hydraulics, pipe friction and flow checks, corrosion severity classification, protocol search, and defect-code lookup.

Enables authoring, validating, inspecting, blackbox-inventorying, tracing, and capability-querying SPEC.md documents through MCP tools over stdio JSON-RPC. Each tool wraps the same command modules the CLI uses and returns identical JSON envelopes.

Enables checking a public website before launch and returning a scored pass, warn, or fail report with a fix for every problem found.

Provides tools for generating fake data using Faker.js, including person, lorem, internet, and more, with support for multiple locales and customizable options.

The iOS Simulator for coding agents: builds and runs Xcode projects, reads the screen as compact text, taps and types by label, and runs XCTest and XCUITest case by case.

Enables AI-driven mobile test automation through planning, generation, and self-healing agents for Android and iOS, exposed as callable MCP tools.

Multi-dimensional data quality validation and statistical anomaly detection for LLM training data, with auto-fix pipeline and MCP tools for AI IDE integration.

An MCP server that integrates a Kanban task board into a sandboxed agent environment, with tools for task management and deterministic state snapshots for agent evaluation.

Exposes read-only tools that list projects and return a project's status, latest build, and unresolved issues as facts drawn from local sample JSON data. This gives a connected agent the raw evidence it needs to decide release readiness, without the server itself making any judgment.

Enables coding agents to read Squally CI data, including test results, flakiness, and failure diagnostics.

Enables a coding agent to answer "is this iOS release ready?" by running read-only App Store Connect checks: build processing, App Review state, a 13-point submission preflight, release-notes policy linting, and App Store Server Notification reconciliation. The lone write capability is a dry-run-first, seven-gate submission tool that always requires explicit confirmation.

Scan any project or website for privacy compliance issues directly in your AI coding tool. Detects tracking tech, cookies, and third-party data collection. Works in Claude Code, Cursor, and Windsurf.

A read-only MCP server that exposes Zephyr Scale Cloud test data to review a Jira story's test coverage, answering whether tests are adequate and passing.

Enables AI assistants to diagnose and fix iOS app issues that cause App Store rejections, such as missing privacy manifests, permission strings, and test credentials, before submission.

Generates realistic, referentially-coherent test data (SQL INSERTs, JSON, or CSV) from your database schema, resolving foreign keys and respecting constraints. Paste CREATE TABLE DDL or a JSON schema and get ready-to-run seed data with valid relationships.