"Information about SQL (Structured Query Language)" matching MCP servers:

Exposes VSCode's Language Server Protocol features through MCP, enabling AI assistants to perform language-aware operations like symbol navigation, reference tracking, safe renaming, type information retrieval, and hover documentation across codebases.

Enables AI assistants to understand lab topologies, follow operational principles, and interact with real network devices through observable terminals while keeping private access information hidden.

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

An MCP server that lets AI assistants inspect and control Asterisk and FreeSWITCH PBX systems, enabling natural language queries about live switch status, channels, registrations, and call control.

Universal Docker MCP server for AI assistants (Cursor, Claude Desktop). Manage Docker containers, execute commands, query databases, and handle environment configurations — all through natural language.

Enables natural language orchestration of multi-vendor network infrastructure by combining NAPALM for structured data retrieval and Netmiko for CLI execution via Nornir.

MCP server giving AI agents full SSH access with persistent sessions, structured command output, SFTP file transfer, and port forwarding.

Provides structured debugging capabilities through LLDB, enabling AI assistants to set breakpoints, inspect variables, analyze crashes, disassemble code, and evaluate expressions in C/C++ programs.

A minimal MCP server that exposes a single tool to query local hardware information (OS, CPU, memory, architecture).

Stateful, structured, safe shell sessions for AI agents, on real infrastructure.

Lets Codex delegate tasks to the Google Antigravity CLI (agy) with background job execution, live progress tracking, a visual dashboard, and structured error diagnostics.

Enables AI assistants like Claude to query and interact with Rocket Universe and UniData MultiValue databases using natural language.

An MCP server that intelligently filters and compresses tool outputs to reduce context window usage, saving up to 90% of tokens by removing noise such as passing tests and redundant information.

A Python-based MCP server for interactive PostgreSQL data exploration, schema discovery, and safe SQL execution with support for stored procedures. It also enables automation through external HTTP API requests and local bash script execution on Fedora and Linux systems.

An agent-native shell as an MCP server, designed for LLM agents (like Claude Code) to execute commands with structured output, lazy detail retrieval, and effect tracking, minimizing token usage.

Provides AI coding agents with structured, evidence-based diagnostics about the local development environment, detecting tech stack, runtime mismatches, dependency state, services, ports, and Git status without exposing secrets or using network calls.

AI agent file editing via MCP: JSON/YAML/TOML, AST renames, markdown, batch.

A SQL Server CLI and MCP server for Claude Code that supports standard SQL Server authentication for database interaction and management. It enables users to perform schema exploration, execute queries, and manage data records with built-in SQL injection prevention.

An MCP server that wraps Flutter CLI tools into structured, agent-friendly tools for AI coding agents, with features like two-phase test results, output capping, and managed app lifecycle.

Provides Ubuntu system information (CPU, memory, disk, network, services, processes) to Bob via natural language queries.