"How to connect to my AWS accounts" matching MCP servers:

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 agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.

An MCP server that enables large language models to connect to remote servers via SSH, execute commands, and transfer files securely.

Enables AI assistants to execute AWS CLI commands and access AWS documentation, resources, and prompt templates through the Model Context Protocol with support for Unix pipes and secure Docker-based deployment.

Connects AI assistants to AWS infrastructure through AWS IAM Identity Center for secure, natural language management of cloud resources across multiple accounts. It enables users to execute AWS CLI commands, monitor resources, and run remote shell commands on EC2 instances via Systems Manager.

A local MCP runtime for macOS and Windows that enables ChatGPT to read, edit, search, run tests, and capture screenshots in your local project folder while keeping your source code on your machine.

An MCP server that enables Claude to generate and execute AWS CLI commands, allowing users to manage AWS resources through natural language conversations.

A Codex-style MCP server providing 126 tools to operate a Kali Linux machine from ChatGPT or any compatible MCP client, including shell execution, filesystem operations, Git, Docker, browser automation, and security tool wrappers.

Enables MCP-compatible AI clients to connect to a Windows machine for file operations, PowerShell execution, Git inspection, task management, memory, and skills.

A simple MCP server that exposes a terminal tool, allowing AI agents to execute shell commands.

A lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), allowing AI tools to retrieve AWS documentation and interact with AWS services.

The m2m-mcp-server-ssh-client provides a unified MCP server interface, securely connecting via SSH to the m2m-mcp-server-ssh-server back-end which aggregates MCP servers. This setup offers secure, single-point access to diverse remote tools using robust SSH key-based authentication.

MCP server bridging ChatGPT to local OpenHarness tools, enabling file reads/writes, grep, LSP, and shell execution on a workspace.

An MCP server that enables AI assistants to execute shell commands and manage files on remote servers via SSH. It supports recursive directory uploads, archive extraction, and direct file creation from text content.

A custom Model Context Protocol server that gives Claude Desktop and other LLMs access to file system operations and command execution capabilities through standardized tool interfaces.

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.

Enables MCP-capable agents to discover or connect to a phone-hosted MCP service and forward SSH command execution, session, and sudo command tools over stdio.

Enables Claude to connect to servers via SSH, execute commands, transfer files, and manage connections through natural language.

An MCP server that provides secure code execution capabilities using AWS Bedrock AgentCore's CodeInterpreter, supporting Python, JavaScript, TypeScript, shell commands, and file operations.

Enables AI agents to connect to and control a Virtual Private Server via SSH. It provides a comprehensive suite of tools for remote file system operations, session management, and shell command execution.

An SSH MCP server that enables users to connect to and manage remote servers directly from Claude Code. It provides tools to execute commands, monitor connection status, and dynamically manage server configurations through natural language.

Enables AI assistants to securely connect to and manage remote servers via SSH, supporting command execution, file transfers via SFTP, and multi-server management with both password and SSH key authentication.

Enables LLMs and automation agents to securely connect to and operate Linux/Unix hosts over standard OpenSSH, including command execution, interactive PTY sessions, SFTP file management, and dynamic multi-host connection handling. It also includes safety rules that block dangerous commands and truncates large outputs to protect model context.

DEPRECATED — succeeded by SSH-Connect (Rust rewrite): https://github.com/mixelpixx/SSH-Connect

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).

Persistent Linux environments for AI agents, with interactive terminals, input-wait event feedback, background tasks, file transfers, and HTTPS previews. Connect through a local stdio MCP server. Requires an agend account; bring your own agent and model.

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 AI assistants to securely connect to and execute commands on a remote Linux server via Cloudflare Tunnel, with bearer-token authentication.

Enables SSH connection management with remote command execution and file transfer capabilities, plus App Store Connect integration for managing applications, team members, and TestFlight operations.

Enables MCP clients to connect to a local workspace over a public tunnel and lets them run shell commands and transfer files bidirectionally.