"Cash App" matching MCP servers:

Free App Store competitive intelligence for Claude — rival downloads, revenue, and ASO keywords. MCP server, no subscription.

Enables AI agents to manage local Google Chrome profiles on Windows — listing, creating, launching, organizing, and syncing profiles with proxies, notes, tags, and value sets, while keeping cookies and irreversible deletion out of reach.

An MCP server for converting App Store Optimization (ASO) data from platforms like App Store Connect into Web SEO data. It enables the creation of synced websites, keyword research, and automated blog content generation based on app store metadata.

Creates new Expo React Native apps from a Feature-Sliced Design template and configures store deployment settings.

Lets coding agents manage apps in App Store Connect through workflow-level tools: shipping TestFlight builds, managing testers and groups, editing listings, replacing and reordering screenshots, handling subscriptions, replying to reviews, downloading sales reports, and submitting for App Review. It is read-only unless writes are explicitly enabled, and destructive actions run as dry runs until confirmed.

Gives Claude Code, Claude Desktop and Cursor access to Apple's full developer API surface — all 1,303 operations — so agents can manage app listings, builds and TestFlight testers, edit metadata and upload screenshots, handle pricing, in-app purchases and subscriptions, reply to customer reviews, and pull sales and finance reports. Includes searchable operation discovery, spec-validated calls, pagination, and read-only, write or full access modes with local key storage.

An MCP server for Things 3 on macOS that enables AI assistants to create, read, update, and manage tasks and projects. It utilizes the Things URL scheme for write operations and AppleScript for querying data from the app.

This MCP server allows users to create, manage, and serve web applications through Goose, storing apps in configurable directories and providing web app serving capabilities.

Enables users to upload Android .aab files to Google Play test tracks and iOS .ipa files to TestFlight, then promote or release them to production through fastlane. Also supports rollout updates, release status checks, and confirmation-gated publishing actions.

A Model Context Protocol (MCP) server that connects Cursor, Claude Desktop, and other MCP clients to the official App Store Connect API—so you can manage iOS/macOS apps, TestFlight, in-app subscriptions, and store metadata via chat or automated tool calls.

Enables AI assistants to manage Apple App Store Connect operations including app management, TestFlight, analytics, reviews, subscriptions, and more through 54 tools.

Manages App Store Connect and Google Play Console metadata, releases, and ASO workflows locally through MCP tools, enabling store management directly from AI clients without manual console navigation.

An MCP server to communicate with the App Store Connect API for iOS Developers

A Model Context Protocol (MCP) server for managing app publishing on Huawei AppGallery Connect. Integrates directly with Claude Desktop or any MCP-compatible client.

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.

Facilitates secure and type-safe interactions with both v1 and v2 of the Glide API, allowing users to manage app data and perform CRUD operations on tables via a Model Context Protocol interface.

Enables interaction with Apple's App Store Connect API through natural language to manage apps, beta testing, localizations, analytics, sales reports, and CI/CD workflows for iOS and macOS development.

Enables management of App Store Connect operations such as listing apps, managing builds, submitting for review, and handling in-app purchases through Claude Code.

Provides an interactive user interface for asking questions with support for text inputs, single/multi-select options, and confirmation dialogs. It allows LLMs to gather structured input or feedback from users through a set of predefined input types.

Drives a running FigCraft desktop app through its local control channel, letting MCP clients inspect and edit documents, run menu-level commands, and capture screenshots with live UI feedback. It also exposes a Figma-compatible tool surface so existing Figma workflows and prompts can drive FigCraft unchanged.