"Signal" matching MCP servers:

Enables Claude sessions to send Signal messages, ask questions, request permissions, and check replies through an existing signal-cli daemon.

An MCP integration for signal-cli that allows AI agents to send and receive Signal messages, supporting direct messages, group messages, and async message handling.

Enables LLMs like Claude to interact with PicoScope oscilloscopes for signal acquisition, measurement, and analysis. Supports device management, data capture, triggering, and signal generation through natural language commands.

Enables AI assistants to interact with running Godot 4 C# games in real-time, providing scene tree inspection, signal debugging, runtime property modification, and enhanced logging capabilities through 48 MCP tools.

Exposes MCP tools that start, query, signal and approve durable Temporal workflows which diagnose and remediate broken Kubernetes pods, so a crashed or restarted server simply re-attaches to the same deterministic heal instead of losing state or applying a fix twice.

Enables AI coding assistants to drive Xilinx Vivado through natural language, letting users open .xpr projects, run synthesis, implementation, and bitstream generation, inspect timing, resource, and clock reports, and launch simulations to read signal values or set breakpoints. It also exposes design hierarchy queries and arbitrary TCL execution, so FPGA design flows can be operated conversationally on Windows.

An MCP server for remotely controlling touchscreens on Linux devices over SSH using virtual touch input. It enables actions like tapping and swiping without requiring any software installation on the target machine.