"Official Atlassian MCP Server by Atlassian" matching MCP servers:

This read-only MCP Server allows you to connect to SAP Sybase data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for SAP Sybase (https://www.cdata.com/drivers/sybase/download/mcp).

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.

Mac file and terminal tools for local AI clients, plus an opt-in ChatGPT Developer Mode relay. Checked edits, bounded reads and real exit codes. Free MIT agent; OpenAI listing under review. Owner-level access, not a sandbox.

A Model Context Protocol (MCP) server with HTTP transport that implements JWT authentication, allowing secure tool execution and prompt handling with role-based access control.

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

Gives AI agents shell access by providing a run_command tool for executing shell commands and returning stdout, stderr, and exit code.

Enables stdio-only MCP clients like Claude Desktop to connect to a running OpsMaxx desktop app by relaying messages to its authenticated HTTP MCP bridge, so they receive the same access controls, approvals, secret redaction, and audit logging as HTTP clients.

Enables ChatGPT to control multiple registered Windows devices through a self-hosted gateway, routing Desktop Commander tool calls to specific workers by device ID.

An MCP server that solves permission fatigue by letting you pre-approve commands, enabling Claude to run them without asking for permission each time.

Provides AI agents with an unrestricted VPS root shell by executing arbitrary shell commands and returning structured results such as exit code, stdout, stderr, timeout, and truncation status.

Enables agents to use secrets without exposing them, by injecting values into commands and redacting them from all outputs and transcripts.

A hardened suite of two MCP servers — a terminal command executor and a file organizer — built on one shared, deny-by-default safety core.

A Python-based server that enables AI assistants to interact with an Unraid server through the official Unraid GraphQL API, providing read-only access to system information, Docker containers, VMs, storage, and more.

Enables AI assistants to call any CLI tool by scanning its help output and serving it as an MCP server.

Enables LLMs to interact with Discord channels by sending and reading messages through Discord's API, with a focus on maintaining user control and security.

An MCP server that publishes CLI tools on your machine for discoverability by LLMs

A minimal MCP server that executes commands on remote hosts by delegating to the local ssh binary, supporting batch-mode execution and optional timeout.

Enables terminal and filesystem capabilities through local stdio or remote device modes, backed by a contract and validation layer.

Turns any command-line tool into an MCP server by parsing its --help, enabling AI assistants to discover and safely invoke CLI tools with validation, allow-listing, and sandboxing.

Bypasses Claude Desktop sandbox network restrictions by providing tools to fetch any URL, execute network-capable CLI commands (yt-dlp, curl, ffmpeg), and read files created by those tools.

Enables MCP clients on Linux to drive the official Codex Computer Use and Browser Use runtime on a remote Windows PC over SSH, operating in the logged-in Windows desktop session.

Enables AI assistants to interact with serial port devices by sending commands, capturing output, and managing connections, with real-time browser-based terminal monitoring.

Enables ChatGPT web to read local files, search code, run shell commands, and drive a local Codex CLI via an official MCP connector, with human approval for risky commands and full audit logging.

A bridge that enables the ChatGPT web interface to use local file and shell tools through the official MCP protocol, turning the workspace into an agentic coding environment.

Enables local/remote execution infrastructure through the official Codex Runtime, providing shell, files, Git, sessions, browser, computer use, recoverable tasks, multi-host routing, dynamic MCP integration, and skill lifecycle management.

Provides persistent SSH access to servers using OpenSSH ControlMaster multiplexing, allowing AI agents to run commands on registered hosts by name without re-entering credentials.

Connects MCP clients to a Kali Linux terminal for AI-assisted penetration testing and CTF challenge solving by executing commands like Nmap, Metasploit, and custom scripts.

Connects LLMs to a Kali Linux host over SSH for authorized penetration testing, exposing tools organized by pentest phases (recon, enumeration, exploitation) with scope guardrails.

An MCP server that wraps the Azure CLI. As LLMs are very good at generating Azure CLI commands, this server allows your LLM to list resources, update/create/delete them, fix errors (by looking at the logs), fix security issues...

A secure Docker-based environment that allows AI assistants to safely execute code without direct access to the host system by running all code within isolated containers.

MCP server to perform various OSINT tasks by leveraging common network reconnaissance tools.

Interactive, streaming SSH tool for LLM agents that enables spawning long-running remote commands with live line-by-line output, signal handling, stdin input, and SFTP file transfer.

Enables AI agents to securely use real secrets (API keys, database passwords) by requiring human approval for each release, ensuring secrets never enter the model's context.

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.

Offline server that explains any shell command token-by-token and flags destructive ones (rm -rf /, curl | sudo bash, dd/mkfs/shred to a disk device, chmod -R 777 /) — a safety gate for agentic shell execution.

Enables LLMs to perform live debugging, dump analysis, and remote debugging by exposing Microsoft CDB capabilities through MCP. It manages cdb.exe sessions, forwards commands, and returns raw debugger output.

Enables AI coding agents to avoid irreversible mistakes by intercepting risky deletions, overwrites, and commands before execution, applying path, pattern, and blast-radius safeguards with quarantine backups.

Enables Claude to work with iTerm2 terminal sessions by staging commands for user approval, executing them after approval, creating new tabs, and returning only new output.

Enables AI models to run interactive tmux terminal sessions that a human can watch and type into, with all output logged and split into searchable per-command regions so only needed lines enter context. Also guides models through unfamiliar tools by returning exit statuses and key output alongside advice on the tool being used.

Runs commands on machines you cannot SSH into by publishing steps to a transport the far side already reaches (git, file share, S3, relay), then reads back a log with every line timestamped in UTC. Seven tools cover send, status, logs, stall detection and a pre-flight check.