"Roblox Studio" matching MCP servers:

A Roblox MCP bridge that connects Codex and other MCP clients to a live Roblox client, enabling live inspection, control, and authorized reverse engineering.

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.

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.

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.

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.

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.

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.

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.

Provides read-only production observability through a small set of tools for health, job status, latest data, approved logs, and deployment metadata, enabling AI planning and review without a production write path.

Enables autonomous self-healing scraper fleet management for Bright Data Scraper Studio, with health checking, anomaly detection, and automated AI-driven scraper repair and approval.