"The Sounds Resource" matching MCP servers:

Exposes persistent, stateful remote Bash sessions to AI agents via SSH, enabling command execution with preserved working directory and environment.

Enables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.

Automates Spine asset pipeline tasks such as export, texture packing, resource validation, and file summarization through the Spine CLI.

Creates short-lived, offline JavaScript sandbox containers for safe code execution via MCP, with no network access and strict resource limits.

A secure MCP server for executing whitelisted shell commands with resource and timeout controls, designed for integration with Claude and other MCP-compatible LLMs.

An MCP server that plays local sound files on macOS using the afplay command, allowing AI assistants to trigger audio notifications after responding.

A secure terminal execution server that enables controlled command execution with security features and resource limits via the Model Context Protocol (MCP).

The Yeepay MCP service provides integration with Yeepay services via the Model Context Protocol (MCP).

An MCP execution layer that lets capable AI models safely control a developer workstation for file edits, terminal and process execution, Git operations, language-server analysis, browser and Windows UI automation, media processing, job/resource control, and checkpointing. It also coordinates durable single- or multi-agent tasks across providers with leases, dependency graphs, evidence logs, repair loops, and separate verification gates.

Enables administrators to manage a single standalone VMware hypervisor through 63 stdio tools covering virtual machine operations, host-resource controllers, guest operations, OVF workflows, background file transfers, durable operation tracking, and optional command-line administration.

Enables MCP clients to execute shell commands, manage long-running processes, and read/write files on the host machine with the permissions of the user running the server.

Wraps the OrcaSlicer CLI to enable AI agents to slice 3D models, run parameter sweeps, and analyze G-code.

Provides agentic MCP tools for the Flux Framework, enabling job submission, management, and resource scheduling for HPC workloads.

Enables execution of ROS 2 CLI commands through the Model Context Protocol, supporting configurable timeouts, working directories, and secure command whitelisting.

Enables AI agents to launch and manage system processes with strict security controls through executable allowlists, resource monitoring, and output capture capabilities.

MCP server that exposes compiled rote pipelines as callable tools. The rote CLI compiles a proven agent skill into a deterministic workflow, and rote serve lets any MCP client trigger the deployed pipelines and poll their status.

Enables MCP clients to remotely drive a vibeOS desktop, including reading the desktop, managing files, editing OS files, and executing commands in the VM.

This MCP server enables AI tools to interact with your Apple Photos library via the osxphotos CLI, providing tools for querying and managing photos.

A server that enables accessing and managing ApiFox API information through the Model Context Protocol, supporting both HTTP services and CLI commands.

A framework for building Model Context Protocol (MCP) servers using pure Bash scripts, allowing for the creation of tools, resources, and prompts without Node.js or Python runtimes. It provides a complete implementation of the MCP spec compatible with any environment running Bash 3.2+ and jq.