"Information about Mongo MCP (MongoDB Management Control Panel)" matching MCP servers:

This MCP server enables AI assistants to interact with a BT Panel server through natural language, allowing users to query logs, manage websites, and monitor system status without manual panel login.

Provides full control of a macOS system, enabling AI agents to execute shell commands, run AppleScript, manage files and processes, and perform human-like GUI interactions such as clicking, dragging, scrolling, and typing, with a screenshot-based perception loop.

Turns Canvas LMS into a scriptable pipeline and exposes it to AI assistants via MCP for querying courses, grades, assignments, and syncing files using natural language.

Enables comprehensive Android device control over ADB, including UI automation, screen capture/recording, app management, file operations, and log/notification access, with a built-in permission system.

Five generic MCP tools for deep Home Assistant administration, plus a native Home Assistant LLM API and a reusable agent skill.

A safety-first MCP server enabling file inspection/editing, allowlisted command execution, process listing, and optional desktop automation. It emphasizes security with disabled writes/commands/GUI by default and local feature gates.

A production-grade MCP server that lets AI cloud services control and manage your Linux server securely via HTTP/SSE.

Manage local/SSH/WinRM remote hosts via MCP, providing tools for exec, filesystem, screen, process, serial console, and configuration.

Enables users to directly edit authoritative Markdown context and tables within Codex, review the complete text before saving, and commit tracked immutable revisions with version history.

Enables integration between Claude AI and Nasuni environments to monitor appliance health, manage volumes and shares, and generate comprehensive infrastructure reports. Users can interact with the Nasuni Management Center through natural language to track performance metrics and summarize system notifications.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Provides comprehensive computer control capabilities including shell commands, file operations, screen capture, keyboard/mouse input, window management, clipboard access, and system monitoring following the OODA loop pattern.

An MCP server that lets AI clients manage game servers hosted on a Calagopus panel: list and inspect servers, read logs and files, edit configs, run console commands and power actions, and search, install, update, or remove plugins and mods from Modrinth and CurseForge. Every action is bounded by the user's panel API key and server permissions, with read-only/destructive hints and token-efficient tool responses.

A lightweight and modular framework for building MCP-based file management systems with standardized module structure, flexible configuration, and extensible functionality registration mechanisms.

Enables remote PC control and system management through MCP, including hardware info, process and file operations, with security features like blocklists and audit logging.

Enables Claude to create, edit, run, and manage reusable skills stored locally, including executing scripts with automatic dependency management and environment variables. Works across all MCP-compatible clients like Cursor, Claude Desktop, and claude.ai.

Provides comprehensive PC control capabilities including file operations (read, write, edit, delete), directory management, file search, and shell command execution through the Model Context Protocol.

Enables comprehensive directory analysis and file management operations including project structure exploration, intelligent file search, full CRUD operations on files and directories, batch operations with rollback capabilities, and Git integration.

A Python-based MCP server for local Windows diagnostics, task management, cleanup, hardware inspection, security checks, and administrative workflows.

Enables natural language management of Hammerspace storage clusters with automated file ingestion, tagging, tier management, and vector embedding generation. Supports real-time file monitoring, multi-format document processing, and Kubernetes-based ingestion workflows with Milvus integration.