"The dio-odi-mcp server" matching MCP servers:

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

MCP server for controlling and reading Rigol DHO800/DHO900 oscilloscopes over LAN via SCPI commands.

Enables dynamic creation and execution of custom tools/functions in multiple programming languages at runtime, exposing them to MCP clients like Claude.

Lets AI coding agents read an outline of a large file or a digest of noisy command output instead of the full text, while every hidden line stays retrievable on disk through a run handle. Agents can request only the line ranges, slices, or grep matches they need and list recent runs, cutting token spend without losing information.

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

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.

A Windows control server built using nut.js and Model Context Protocol (MCP), providing programmatic control over Windows system operations including mouse, keyboard, window management, and screen capture functionality.

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.

Enables authenticated remote MCP clients to manage a Kali Linux environment, run modular tools in sandboxed or optional host contexts, configure networking, and monitor jobs through a live WebUI.

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.

Enables an LLM to drive the Wine debugger through MCP tools: start or attach a winedbg session to a program or PID, run debugger commands against it, and stop the session along with the process group it launched. It wraps the interactive Wine-dbg> prompt, parsing replies and enforcing timeouts and argument validation so debugging sessions can be automated conversationally.

This MCP server exposes a Telegram client that runs on the user's own account, enabling AI agents to read, search, send, and manage messages, press bot buttons, and work with chats, groups, and channels from the terminal. It is read-only by default, with writes requiring explicit human approval and every action logged for safety.

Safety-gated SSH MCP server for DeepSeek Harness and standard MCP clients, enabling agents to use a laboratory server's GPU, runtime, and configured source workspace while keeping the server isolated from the public internet.

Enables MCP clients such as ChatGPT and Claude chats to control a Windows desktop by taking screenshots, moving the mouse, typing text and key chords, focusing windows, reading or writing the clipboard, and launching applications. Access is gated by local approval modes, input kill switches, and an optional authenticated relay for remote clients.

Enables interaction with Cisco network devices through the RADKit SDK, allowing users to discover device inventory, fetch device attributes, and execute CLI commands via natural language.

An MCP server for the Talon accessibility framework that surfaces logs, configuration details, and status information. It enables users to interact with the Talon Python REPL to execute code and manage the framework through natural language.

Enables remote MCP clients to access local MCP servers and command-line tools over the web, with user approval required for every connection.

Enables running shell commands on the local machine via MCP, using bash.

Automates Ansys Fluent simulation workflows, enabling environment checks, case execution, UDF management, and result export through MCP tools.

Enables AI coding agents to run one-shot commands and copy single files to and from remote servers through The Bastion, which authenticates, authorizes, and records each action. Access is controlled by the bastion rather than allowlists or deny lists.

MCP server that routes Docker operations across a fleet of Docker hosts via the Scotty API.

MCP server for managing Incus containers and VMs via the incus CLI. Supports operations on remotes, instances, images, networks, storage, profiles, projects, and snapshots.

Enables LLMs to safely write and run bpftrace scripts against the Linux kernel for observability, with explicit probe allowlists and execution timeout.

An interactive coding agent and MCP server that provides access to various AI models via the Tsinghua University lab proxy API. It enables users to inspect files and execute shell commands within their local directory using models like DeepSeek, GLM, and Qwen.

MCP server for overseer.nvim — gives any MCP-capable coding agent running inside Neovim (Claude Code, Codex, Gemini CLI, opencode) the same visibility and control over tasks the user has: list, run, tail, restart, stop. Agent-started dev servers land in the user's own task list instead of becoming invisible orphaned processes.

A persistent Python REPL MCP server for AI agents with stateful execution, real timeouts, crash isolation, and an MCP bridge to call other tools in the project.

An MCP front-end for AnB. The tool surface is "use-don't-reveal": no tool returns a plaintext secret. Reveal paths require a TTY the server doesn't have, so the no-reveal guarantee is structural, not prompt-based — it holds even against a prompt-injected agent. Runs as a dedicated, narrowly-scoped AnB identity; exec is default-deny (only allowlist rules tagged scope=mcp run); command output

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.

Provides a set of tools to interact with Tecton clusters, manage feature stores, and execute Tecton CLI commands through the Mission Control Protocol.

A Python MCP server that lets MCP-compatible clients inspect and operate AWS through the AWS CLI, with command execution, suggestions, region lookup, and caller identity checks.

Infrastructure access broker for AI agents — SSH & Kubernetes. Per-operation ephemeral credentials minted by a separate signer; the model never touches one. MCP stdio / HTTP+OIDC.

Provides blocking await tools to poll commands, URLs, or files until a condition is met, eliminating the need for sleep loops in agent workflows.

An MCP server that gives coding agents hands and eyes on an Android device, providing 19 tools for building, testing, installing, UI inspection, input, logs, and toolchain diagnosis. It returns concise, structured results to make the build-debug loop efficient.

Exposes the official lark-cli as an MCP server, enabling agents to execute arbitrary CLI commands, query API schemas, and manage authentication.

Provides the current date in multiple formats (e.g., European, ISO, US) via a simple MCP tool.

An MCP server that lets AI agents list sessions, read terminal screens, type commands, and run commands (with optional waiting for exit status) in Rex terminal blocks on the local machine through the rex CLI. It exposes a single allowlisted passthrough CLI tool plus a guide tool, deliberately excluding destructive or cross-host operations.