"sql server" matching MCP servers:

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

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.

A server implementing Anthropic's Model Context Protocol (MCP) for Firebird SQL databases, enabling Claude and other LLMs to securely access, analyze, and manipulate data in Firebird databases through natural language.

An MCP server for RollDev and Magento 2 development environments that enables LLMs to manage project environments, execute SQL queries, and run PHP or Magento CLI commands. It supports automated project initialization, Composer integration, and system service control directly through natural language.

MCP server for safety-first automation and app QA, exposing deterministic tools to control graphical apps, browsers, terminals, Android devices, VMs, and SSH hosts.

A Model Context Protocol server that enables secure and structured interaction with Microsoft SQL Server databases, allowing AI assistants to list tables, read data, and execute SQL queries with controlled access.

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

An internal MCP server providing Database (SQL execution) and Server (Linux SSH/SFTP) skills with 11 tools, enabling remote execution, risk control, and full audit via Claude Code or other clients.

Intentionally vulnerable Model Context Protocol (MCP) server designed for security research that processes natural language queries through an LLM to execute SQL queries or shell commands without restrictions.

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.