"Android Studio" matching MCP servers:

An MCP server that enables AI assistants to capture and analyze HTTP/HTTPS traffic from Android devices. It supports smart searching of network requests and provides tools for detailed traffic analysis via natural language.

Local MCP server for observing and controlling an authorized Android device over USB using ADB and scrcpy, providing screen capture, UI automation, app inspection, logcat, and evidence recording.

Enables managing releases, monitoring Android vitals, analyzing earnings and search terms, optimizing ASO, and preflighting store assets through natural language, with a confirmation gate before destructive writes.

Read-only MCP server exposing Android phone timeline data, including events, hourly/daily features, data coverage, and gaps, so Claude can answer questions about observed phone activity.

Paid remote MCP for AI Studio Workspace with approval gate, structured receipts, audit logs, and reviewer-ready evidence, enabling workspace change checks, model run approval, spend estimation, and audit export.

Enables AI assistants to answer operators' questions about their Dreambooth Studio booths via a read-only API wrapper, providing session, project, revenue, credit, and wallet data with OAuth device flow authentication.

Enables MCP clients to inspect Google Play releases, reviews, Android vitals, and scoped bulk reports, and to prepare explicitly authorized changes using locally supplied service-account credentials. Reads are default, while optional writes and sensitive reads require explicit configuration and single-use execution.

Read-only VMware vCenter/ESXi monitoring. 8 MCP tools for VM inventory, host status, datastore capacity, cluster info, alarms, events, and VM details. Code-level enforced safety — no destructive operations exist in the codebase. Supports vSphere 6.5–8.0. Works with local models via Ollama/LM Studio.

AI-powered VMware vCenter/ESXi monitoring and operations. 20 MCP tools for inventory queries, health monitoring, VM lifecycle management, fast provisioning (Linked Clone, OVA, template deploy), snapshot management, and datastore browsing. Supports vSphere 6.5–8.0. Works with local models via Ollama/LM Studio.

Enables AI agents to manage Google Play Console reviews and Android app releases, including replying to reviews, promoting releases, managing staged rollouts, and checking crash/ANR vitals.

A fail-closed MCP server for Msty Studio on macOS that provides read-only diagnostics and an optional bounded local-generation tool, without accessing chats, keys, or configuration.

Manage the full Google Play Store release lifecycle directly — from uploading artifacts to managing testers, rollouts, and Android Vitals.

Enables Microsoft Copilot Desktop and Microsoft 365 Copilot Studio to post/read Slack messages, query GitHub repository status, and monitor live pod health and fleet runtime briefs.

Enables reading and building Splunk dashboards via the management REST API, using SSO for permissions and supporting both Studio and Classic formats.

Provides AI assistants with token-efficient access to Google Play Android Vitals, enabling them to diagnose ANRs, track crashes, analyze startup performance, and compare app versions for release optimizations.

Exposes WAVE streaming APIs as tools for AI assistants to manage live streams, studio productions, and real-time analytics. It enables users to control stream lifecycles, monitor health metrics, and access billing usage through the Model Context Protocol.

A Model Context Protocol server that lets AI assistants interact with the Sentry API to retrieve and analyze error data, manage projects, and monitor application performance.

The complete MCP server for Google Play, offering 150 tools to fully control Android Publisher API v3 and Play Developer Reporting API v1beta1.

Comprehensive MCP server for administering Msty Studio Desktop with 36 tools across 6 phases, Bloom behavioral evaluation, and support for four service backends.

Enables safe operation of Pterodactyl panel services through AI-driven monitoring, log and crash analysis, cross-server incident investigation, and selective remediation with approval workflows and automatic rollback.