"IBM MCP Context Forge - Model Context Protocol Gateway Tool" matching MCP servers:

Enables AI assistants to search and retrieve encrypted local screen history, including OCR text, recent activity, context around moments, daily rollups, and screen snapshots.

Turn your Android phone into an MCP server. AI assistants connect on demand, query your health data, notifications, app usage, and take actions on your device — all end-to-end encrypted, no cloud sync.

Enables AI agents to interact with IBM i systems through SQL tools and commands, supporting secure authentication, system monitoring, and database operations via the Model Context Protocol.

A Model Context Protocol (MCP) SSH client server that provides autonomous SSH operations for GitHub Copilot and VS Code. Enable natural language SSH automation without manual prompts or GUI interactions.

A self-hosted MCP gateway that aggregates all your MCP servers behind a single Streamable HTTP endpoint, with automatic registry discovery (19,000+ servers), on-demand Docker provisioning, multi-device support via SSH, OAuth2 PKCE authentication, and a workflow engine for saving and replaying multi-step tool sequences.

SSH automation MCP server that enables Claude and ChatGPT to execute commands, manage files, install packages, and control services on remote servers over SSH — supporting password, key, and agent authentication.

This project implements a customizable MCP server to execute RTE protocol. The intention of this project is to be easily extensible. You can add your own MCP tools by using RteUtils class. Also is needed to define the RTE connection parameters and the RTE flow in a yaml format.

Lets an LLM see what's on your screen by capturing an entire monitor or a specific application window.

An MCP server that enables users to execute arbitrary shell commands on their local machine and receive the output. It provides a terminal tool for running system commands through MCP-compatible clients using the Python SDK.

Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface.

Enables AI assistants to interact with physical serial port devices across platforms (Windows COM/Linux tty) with support for asynchronous communication, URC pattern recognition, and structured logging.

A Model Context Protocol (MCP) server that provides a simple sleep/wait tool, useful for adding delays between operations such as waiting between API calls or testing eventually consistent systems.

Go server implementing Model Context Protocol (MCP) for filesystem operations.

Enables Claude to send and read iMessages on macOS, with smart contact lookup, message history retrieval, and cross-conversation search using natural language commands.

Enables AI assistants to search, update, and manage files, run terminal commands, and automate workflows on a user's computer.

Enables managing multiple Linux SSH servers from MCP clients, with structured filesystem operations, shell commands, durable long-running jobs, process listing, and CPU/RAM/disk/GPU status.

A safety-oriented Model Context Protocol (MCP) server for inspecting, controlling, diagnosing, and selectively administering a Home Assistant instance.

Wraps the mcp-locks CLI to expose coordination primitives as MCP tools, enabling multiple AI agents to claim, release, and list exclusive OS resources like browser profiles.

A TypeScript-based server that enables programmatic management of pseudo-terminal sessions. It allows users to spawn, control, and interact with terminal processes in real-time through the Model Context Protocol.

Enables MCP-speaking clients to control a real desktop via the computer_use tool, including clicking, typing, scrolling, dragging, key combos, app focus, and screen/accessibility capture. It also provides a verdict system that verifies whether input actions had their intended effect, with configurable approval modes.