An MCP server that lets AI assistants manage an OpenMediaVault NAS over SSH using OMV's own RPC interface, covering disks, filesystems, shares, users, S.M.A.R.T. health, services, and configuration changes. It exposes a small set of generic tools to discover and call RPC methods, plus optional shell access.
An all-in-one MCP server for local LLMs that provides live web access, math, shell/code execution, filesystem access, memory, and RAG over local files using LM Studio embeddings.
Local Dev Doctor turns an unfamiliar development checkout into an evidence-backed diagnosis. It discovers how the project is meant to run, checks safe prerequisites, and executes only the exact probe that a user approves.
Sandboxed bash execution MCP server for AI agents, using an in-memory virtual filesystem overlay to prevent real filesystem damage, with configurable network access, timeouts, and optional Python/JS runtimes.
Enables executing commands and transferring files over SSH on multiple hosts concurrently, with auto-discovery from SSH config and support for various authentication methods.
A locally-running Python REPL server that integrates with Claude Desktop through the Model Context Protocol, offering shell bridge, streaming, and operational memory features for secure code experimentation and system automation.
Enables read-only Linux system diagnostics and troubleshooting on local and remote RHEL-based systems via SSH, including services, processes, logs, network, and storage analysis.
Enables read-only Linux system diagnostics and troubleshooting on RHEL-based systems, including system info, services, processes, logs, network, and storage analysis. Supports both local and remote SSH execution across multiple hosts.
Provides a governed command plane for MCP agents to manage PostgreSQL databases, SSH sessions, and HTTP APIs with encrypted credential storage and prescriptive workflows.
ai-runtime-guard is an MCP server that sits between your AI agent and your system, enforcing a policy layer before any file or shell action takes effect. No retraining, no prompt engineering, no changes to your agent or workflow, just install, configure once, and your agent operates within the boundaries you set.
Terminal\[X]MCP is a Model Context Provider (MCP) server that enables intelligent terminal automation through a multi-agent system with distributed specialized roles for command execution, security validation, and real-time monitoring.
Enables SSH operations including connecting to remote servers, executing commands, and transferring files between local and remote systems. Supports multiple SSH connections with both password and private key authentication methods.
PiloTY is an MCP server that provides AI agents with a persistent, interactive terminal, enabling long-running commands, log monitoring, and stateful shell interactions across tool calls.
Enables managing Google Cloud Platform resources through natural language commands in Claude Desktop, supporting comprehensive operations across compute, storage, databases, networking, monitoring, and IAM without manual credential setup.
MCP server with 24 tools for live workspace state resolution. Pre-resolves git status, service health, file queries, memory federation, and multi-agent coordination into markdown before the AI sees it. Single-file Python (pyyaml only), MIT. Serves over stdio and SSE. Published as io.github.tcconnally/perseus on the MCP Registry.