"How to connect to a SQL Server database" 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.

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.

A TypeScript implementation of a Model Context Protocol server that enables language models to securely query PostgreSQL databases, including those behind SSH bastion tunnels.

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.

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.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.

A cooperative guardrail for AI agents that blocks destructive shell commands, SQL statements, or cloud operations until a human approves them out-of-band, with a tamper-evident local ledger.

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.

MCP server for managing remote servers via SSH, enabling command execution, file transfer, rsync, tunnels, health checks, backups, and database operations.

Give AI agents a persistent, interactive terminal with support for SSH, REPLs, database CLIs, TUI apps, and long-running processes.

MCP server that gives AI agents real interactive terminal sessions for running REPLs, SSH, database clients, and any interactive CLI with clean text output and smart completion detection.

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.

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

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.

Enables AI agents to ask users for credentials, secrets, and sensitive data through local browser forms that the model never sees, then resolve and use those values only at approved points of use. Also supports blind web capture, SSH key provisioning, and writes to .env files, SQL databases, and APIs, with the agent receiving only structural results.

MCP server for managing a self-hosted Coolify instance. Provides full REST CRUD, deploy/watch capabilities, and an optional host-ops tier for live log streaming, SSH, Docker, and database access.

A universal MCP server that provides AI agents with structured tools for filesystem, database, shell, and git operations, enabling seamless interaction with projects.

MCP server that protects shell, file, database, git, and HTTP operations with per-agent permission rules

Enables interaction with MariaDB databases through secure read-only operations. Supports database exploration, schema inspection, and SQL query execution with comprehensive logging and connection pooling.

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.

A tool that allows penetration testing through Kali Linux commands executed via a Multi-Conversation Protocol server, supporting security testing operations like SQL injection and command execution.