"Co-op" matching MCP servers:

Enables AI agents to run WP-CLI commands on WordPress sites, including byte-faithful post and meta copying with checksum verification, over local Docker, Pantheon Terminus, or SSH.

A self-hosted MCP server providing a governed interface for AI agents to interact with local Docker infrastructure, featuring a two-phase confirm protocol for state-changing operations and append-only audit logging.

MCP server that gives Claude Desktop and other desktop MCP clients filesystem powers—read, write, edit, and manage files like AI coding assistants.

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

Enables AI-assisted remote server diagnostics by auto-executing known read-only commands and routing high-risk changes to a real human for approval through DingTalk interactive cards. It uses structured argv instead of shell strings, default-deny policy, and HMAC-signed agent execution with hash-chained auditing so the model never holds SSH keys or approval power.

Enables Codex to manage a local Claude Code companion through MCP, implementing a dual-agent workflow where Codex handles reasoning and review while Claude Code performs engineering tasks.

Remote-first tmux co-pilot that lets LLMs operate inside real tmux sessions with SSH-aware discovery, deterministic window/pane control, and pull-based state snapshots for grounded terminal assistance.

Provides Claude with direct access to the Open Porous Media (OPM) reservoir simulation stack, enabling running simulations, inspecting results, and automating workflows via natural language.

Provides typed, paginated tools for evidence-driven Linux performance analysis including profile analysis, comparison, and report generation with server-side authorization.

Enables controlled local developer operations including file and process management, shell execution, SSH, WSL, Docker, Git, browser and desktop automation, media processing, and asynchronous jobs through MCP.

MCP server for monitoring and managing long-running processes on a remote VPS via SSH, with tools for status, logs, record summaries, and arbitrary command execution.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Enables secure SSH-based operations on Oracle Linux 8+ hosts through a curated, YAML-defined capability catalog, with typed parameters, two-phase confirmations for mutations, and full audit logging.

Converts any Python Click or Typer CLI into an MCP server automatically — zero-code transformation that introspects CLI commands and exposes them as MCP tools.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

Enables AI assistants to execute shell/PowerShell commands, manage files, run git and Django operations, and control IIS or systemd services on remote Windows or Linux machines over HTTP.

Enables Codex to observe a physically separate computer or tablet through HDMI capture and control it with USB HID keyboard and mouse, pairing each action with the latest observation.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Enables MCP clients to invoke the local Claude Code and Codex CLI binaries as tools over a streamable HTTP endpoint, with each contextId mapped to a persistent underlying session so multi-turn conversations keep their context. Also injects instructions to suppress clarifying questions, kills overrunning subprocesses with a structured timeout state, and enforces per-agent Bearer token authorization.