"Ways to Control or Operate a Computer" matching MCP servers:

Enables triage, installation validation, and controlled automation of X-Ways Forensics and related tools through structured MCP tools for agents.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

An open-source MCP server that gives parents real-time oversight and guardrails over their children's AI agent interactions, with features like content filtering, spiral detection, and approval flows.

The control plane for AI prompts that scores, enforces policy, locks config, and audits every prompt decision.

A governance and control layer for MCP tools that manages tool requests as intents through policy-based approval, queuing, or blocking. It enables secure human oversight and audit trails for consequential agent actions across platforms like Claude Desktop and Cursor.

Safety middleware for AI computer use agents that monitors, enforces policies, and provides guardrails to enable safe desktop interaction.

Enables a constrained subagent to perform foreground GUI actions on Hyprland—observing, focusing windows, clicking, typing, scrolling, dragging, and managing the clipboard—under per-action approval with lease, audit log, and kill-switch gating.

Enables AI agents to automate macOS desktop GUI applications through a policy-governed MCP proxy over Cua Driver, with fail-closed per-app allowlisting, a hardcoded sensitive-app denylist, an emergency kill-switch, masked audit logging, and self-healing app recovery with durable task journaling.

Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Secures MCP tools as an OAuth 2.1 resource server, validating short-lived delegated tokens, enforcing policy-as-code, and auditing AI agent actions.

A hardened MCP gateway that lets AI agents securely call infrastructure APIs like Kubernetes, Terraform, and Jenkins, with authentication, rate limiting, and OPA policy enforcement.

Provides search, detail lookup, and gap listing tools for a security control inventory, enabling natural language queries about control status and gaps.

An MCP server that sends plain-text Gmail messages only to a predefined allowlist, using generated recipient IDs instead of email addresses to enforce security.

Provides AI agents with programmatic access to Zscaler AI Guard, enabling autonomous management of detection policies, match rules, LLM applications, and LLM providers.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

Enterprise AI governance layer for spend tracking, runtime guardrails, policy enforcement, and budget limits. Connects Claude, ChatGPT, and any MCP client to ThinkNEO's control plane for SOC2/GDPR/HIPAA compliance monitoring and real-time provider health.

Governs AI agent tool calls by checking them against Agentic Control Plane policies, returning allow/deny/ask decisions with audit logging and identity attribution for MCP clients like Claude and ChatGPT. Exposes acp_check and acp_status tools for policy enforcement and connection verification.

Provides agent certification and trust verification tools for AI agents, enabling certification checks, trust score calculations, audit ticket issuance, and emergency kill switch activation through the A-SOC trust network.

A local observation-only MCP server for macOS that provides secure, atomic evidence capture with strict target approval and manifest-based output.