"Telegram MCP Server by DLHellMe" matching MCP servers:

Stop Package Chaos: Unveil Your Mac’s Setup for Targeted ML Debugging

MCP server that enables AI agents to start, monitor, and stop background processes like dev servers, builds, and tests, with a web dashboard.

Enables AI agents to control macOS by capturing screenshots and performing mouse clicks, movement, dragging, text typing, hotkeys, and scrolling, with support for Gemini's normalized coordinate protocol and Retina display scaling.

Enables management of system users through a simple sample API, exposed as MCP tools for natural-language interaction.

A modular MCP server that provides comprehensive system automation capabilities including file operations, Telegram integration, job scheduling, system control, and YouTube downloads. Features persistent data storage and a clean architecture for easy extension and maintenance.

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

MCP server for macOS disk cache management. Enables AI agents to free disk space on demand by scanning and clearing developer caches.

Enables secure filesystem operations with directory sandboxing and optional read-only mode. Supports file reading/writing, directory management, file searching, and text operations while restricting access to specified directories.

MCP server that lets Claude use your Mac — native apps and the browser — by remembering what it has seen instead of screenshotting every step.

Mac window manager AI agents can drive: see every monitor and window, apply multi-monitor layouts in one call, save and relaunch whole workspaces, snap zones, keep-awake, and annotated screenshots. Backed by a native macOS menu bar app over a local-only loopback API — no cloud, no telemetry.

Enables an agent to drive an Android phone attached via USB by reading the screen, deciding next steps, executing actions, and verifying results, all through adb.

Enables natural-language diagnosis of Linux system issues by providing sandboxed, typed tools for system, service, filesystem, and git inspection, with human approval for mutating actions.

Enables AI agents to query Windows process, window, and console information via structured JSON instead of screenshots, reducing token usage by 94-98%.

Inspect a cronstable job scheduler's jobs, logs, run history, DAG workflows, and cluster health, and ask why a job did or didn't run. Read-only by default; tools that run, pause, or approve jobs and workflow runs need opt-in.

Enables an AI agent to control a genuinely visible Windows terminal window by spawning it, sending keystrokes, reading the rendered console buffer, and closing it so a human can watch every action in real time.

jobd is a self-hostable, GPU-aware job broker that queues and routes shell commands across your own machines — picking workers by available VRAM and tool tags, streaming logs back, and surviving across sessions. It ships native MCP integration, so agents can submit, monitor, and control long-running or GPU jobs as tools.

Enables AI assistants to control Windows PCs by executing shell commands, managing files, capturing screenshots, and monitoring system information through a comprehensive set of MCP tools.

Enables MCP-capable LLM clients to perform read-only Linux system observation and OS algorithm experiments by exposing typed tools for memory, filesystem, process, and CPU scheduling data with controlled, safe boundaries.

Enables Claude Code to interact with Linux X11 desktops by performing mouse actions, keyboard input, and capturing screenshots. It provides a suite of tools for automation tasks such as clicking, typing, and zooming on specific screen regions.

A MCP server that enables human-in-the-loop workflow in AI-assisted development tools by allowing users to run commands, view their output, and provide textual feedback directly to the AI assistant.

Windows desktop automation MCP server — screenshot, mouse, keyboard & UI Automation. Lets LLM agents see and control your Windows desktop directly.

Enables AI agents to control Android devices through the Android Debug Bridge, covering device listing, shell commands, app install/uninstall, logcat reading, screenshots, UI automation (tap/swipe/type/key events), dumpsys queries, file transfer, port forwarding, permission management, and Wi-Fi pairing. Failures are mapped to typed, actionable causes and tool calls are safety-annotated and guardrailed, with multi-device calls scoped explicitly by serial.

Enables AI assistants to interact with macOS windows through yabai, providing window listing organized by Spaces and screenshot capture capabilities.

A private MCP server that lets ChatGPT create, manage, and operate Box by ASCII Linux environments through secure MCP tools.

Enables low-cost agent models to control Windows applications through a compact, state-safe proxy over Open Computer Use, reducing model-visible context by up to 99.8% with support for record/replay and reusable UI component memory.

Enables AI assistants to control Mac sleep settings by preventing sleep for configurable durations and modes using natural language commands.

MCP server that exposes Ansible modules to AI agents with a search-schema-check-execute workflow, enabling safe ad-hoc runs via check mode by default. It provides tools to search modules, fetch schemas, run modules, and list collections.

Enables an agent to observe and operate desktop apps and browsers through an accessibility-tree-first view, with clicking, typing, scrolling, dragging and waiting tools. Screenshot handling, coordinate mapping and fail-closed safety rules (risk confirmation, deny-listed apps, stale-observation refusal) are enforced inside the server.

One local MCP server for Mail, Calendar, Reminders, Notes, Messages and five more macOS apps. Searches return pointers, not full bodies; deletes, moves and sends preview first; sending is off by default.

Enables an AI client to control an Android emulator or USB device over ADB by selecting a device, inspecting the UI hierarchy, and performing taps, swipes, text entry, key presses, and app launches. It relies only on Android platform-tools and exposes a compatible tool surface for phone automation.