"Archive of Our Own" matching MCP servers:

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.

Enables ChatGPT to read and edit local text files, apply precise string replacements, and run Bash commands on a user's own macOS or Linux machine through a secure local tunnel without exposing public ports.

Enables reading diagnostic data from remote servers over SSH using a whitelist of read-only commands, with secret redaction.

Gives Amazon Quick Desktop real shell access outside its sandbox, running commands as your own user with login-shell environment, synchronous execution, background jobs, process-tree cleanup on timeout, and an audit log. A narrow pattern-based guard blocks a handful of destructive commands while ordinary work — including targeted recursive deletes — passes through.

Enables an AI agent to run local tools on the user's own machine via stdio, including command execution, workspace file read/write, and system status checks.

AgentBridge is a local MCP server that lets Claude Code delegate coding tasks to external CLI workers like Codex and Antigravity. It assembles structured prompts, runs the workers with git snapshotting, and returns compact structured results without running its own models.

Enables MCP clients to run Google Antigravity CLI (agy) as durable, detached asynchronous jobs with a permission gate and broker-computed verdicts that do not trust agy's own exit code.

An MCP server for ABB/Hitachi Energy PCM600 that provides offline IEC 61850 SCL file analysis, .apcmp project archive inspection, ACT logic recovery, and safe read-only drive of the PCM600 CLI for project exports and validation.

An MCP server for 7-Zip archive operations (list, extract, create) with dual-engine architecture and sandbox security features. Note: currently a learning project and not yet functional.

MCP server that turns ChatGPT Web or any MCP client into a coding agent on your own repositories, enabling file editing, command execution, testing, and git workflow without an OpenAI API key.

Enables management of GNOME Boxes virtual machines through libvirt/virsh with lifecycle and snapshot operations.

Unofficial CLI to access UPC Aula Virtual (Blackboard) from the terminal, with an MCP server for Claude to manage courses, assignments, and downloads.

Enables execution of terminal commands, git operations, and automated setup of React, Vue, and Next.js projects with VSCode integration.

A CTF Pwn AI-assisted debugging platform based on MCP, enabling AI to directly interact with remote GDB and CTF services for automated heap exploitation.

A Model Context Protocol server that enables natural language interactive control of Universal Robots collaborative robots, allowing users to control robot motion, monitor status, and execute programs through direct commands to large language models.

Enables natural-language automation of LS-PrePost preprocessing and postprocessing by exposing tools that build and verify shell meshes, query nodes, parts and connectivity, run native commands, SCL and in-application Python, and read d3plot/binout results through pluggable backends. Every job runs in its own directory and returns an ID, status, log and artifacts, so results stay traceable and failures are never silently reported as success.

Enables isolated bring-up of Windows Terminal windows with split panes per named thread, and supports native harness hops through the hop CLI.

Turns your own VPS into an agent's remote computer, exposing shell and code execution, persistent workspace files, Bash PTYs, a Chromium browser, notes, scheduled tasks, and a streamed Linux desktop over MCP. Clients such as Claude Code or Codex can also use an authenticated REST API, CLI, and web console to drive the same shared workspace.

Enables running Kali Linux security tools and commands in a containerized environment for semi-automated penetration testing, with background job management and out-of-band interaction detection.

Enables AI assistants to interact with Cisco Modeling Labs (CML) using natural language, allowing creation, management, and automation of network labs.