"How to control my computer remotely or locally" matching MCP servers:

Enables LLM agents to monitor Mac thermals and control fan speed with safety limits enforced by a root daemon.

MCP server for Windows desktop automation. It provides mouse, keyboard, screen capture, and AI-driven UI element detection via OmniParser.

A cluster of 8 independent MCP servers for intranet automation, enabling file operations, browser automation, data query, and system monitoring through natural language.

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.

Provides read-only access to query and retrieve information about devices, fleets, events, and configurations managed by Flight Control through a safe integration layer supporting filtering and selector-based queries.

A lightweight MCP server that lets agents send email alerts for notifying humans when scheduled jobs fail, data is missing, or attention is needed.

A read-only MCP server that bridges AI assistants to SAP Cloud ALM, exposing read APIs through four intent-based tools. It runs locally over stdio or remotely over Streamable HTTP, and can be deployed to SAP BTP Cloud Foundry.

Enables AI agents to alert users locally by playing a notification sound and showing a system banner when a task finishes or attention is needed, with support for custom sounds and multiple MCP clients.

Enables AI agents to investigate Splunk exports or live queries using deterministic detectors and an iterative analysis loop, all running locally without data leaving the machine.

MCP Server for notify to telegram / weixin

An async MCP server for Jamf Pro integration, providing AI assistants with tools for computer health analysis, inventory management, and policy monitoring.

Enables agents to diff inventory snapshots from CSV files or live Shopify stores, surfacing SKU mismatches, oversell risks, blank-vs-zero issues, barcode conflicts, and sync health, with data processed locally.

Enables Claude Code and claude.ai to read error tracking data and triage issues from a self-hosted Bugsink instance through a remotely deployed, OAuth-gated MCP server.

Enables AI agents to diagnose Windows computer problems safely through a consent-first, read-only default remote diagnostics bridge.

Enables Claude to query Microsoft Clarity analytics remotely via HTTP, with bearer token authentication and caching to manage API quotas.

Enables coding agents to log friction events (tried, failed, minutes lost) and allows reviewers to cluster, rank, and resolve these vents locally without network access.

More than just an MCP server that covers the entire range of Docker management tasks, it helps you create workflows to easily manage your Docker environments at scale. It allows you manage multiple local or remote (TCP, TLS, SSH) docker instances and exposes things like logs and stats as resources so that you can monitor and triage all of them.

Enables AI agents to check the health of internet infrastructure and specific services, helping diagnose whether issues are local or external.

A locally-hosted MCP (Model Context Protocol) server that gives Claude real tools to debug Docker containers — fetch logs, inspect memory/CPU, and run diagnostic commands inside a container, all from a chat with Claude Desktop.