"How to query a database" matching MCP servers:

The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.

Enables AI assistants and local LLMs to interact with BirdNET-Go bioacoustic observatories, providing tools to query recent and historical bird detections, monitor station health, and retrieve audio clips.

Query and interact with kubernetes environments monitored by Metoro. Look at APM, metrics, traces, profiling information with LLMs.

Enables AI assistants to manage and query Tiger Cloud database services, including service lifecycle operations, database connections, and SQL execution.

Enables AI assistants to query databases using natural language, with automatic schema discovery and SQL compilation.

A Model Context Protocol server implementation for Axiom that enables AI agents to query your data using Axiom Processing Language (APL).

Bridges MCP clients that require stdio to a running pREST HTTP MCP endpoint, enabling database interaction via natural language.

A Model Context Protocol server enabling AI assistants to query and explore data warehouses via Trino, with optional semantic context from metadata catalogs.

Enables LLMs to read and search X posts, manage users and lists, upload media, and publish posts using the X API v2 with OAuth user context.

Production-ready MCP server designed to empower AI agents and LLMs to interact seamlessly with ClickHouse. It exposes your ClickHouse database as a set of standardized tools and resources that adhere to the MCP protocol, making it easy for agents built on OpenAI, Claude, or other platforms to query, explore, and analyse your data.

MCP-Server from your Database optimized for LLMs and AI-Agents. Supports PostgreSQL, MySQL, ClickHouse, Snowflake, MSSQL, BigQuery, Oracle Database, SQLite, ElasticSearch, DuckDB

Provides a read-only schema extraction tool that converts database structures from numerous dialects into Toon format, accepting live connections or offline SQL dumps.

This project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

Provides read-only access to Chinese A-share stock market data such as quotes, K-lines, financials, capital flows, news, and research reports via a stdio MCP server for DeepSeek Harness and other MCP clients.

One MCP server for golangci-lint, govulncheck, and nilaway — a unified Diagnostic\[] array with consistent file:line:column navigation, parallel execution, and zero-config auto-install - for golang development.

Enables AI agents to interact with WhatsApp through a safety-first MCP server, with tools for sending messages, media, searching chats, and managing drafts, all governed by default-deny allowlists and non-overridable rate limits.

Token-efficient Figma MCP server with image export, query DSL, and design token support.

Gives AI coding assistants, IDEs, and CI full PostgreSQL schema intelligence from an offline snapshot, enabling linting, query validation, migration safety analysis, and foreign key graph exploration without ever exposing database credentials.

Wraps OpenAI's Codex CLI as an MCP server, enabling AI clients like KiloCode, Roo Code, and Cline to leverage Codex for code generation, debugging, and analysis through natural language.