"How to connect and execute queries on a private SQL database" matching MCP servers:

MCP server that connects to SQL databases (SQLite, PostgreSQL, MSSQL, MySQL) and provides tools to run read-only queries, list schemas/tables, and manage connections via stdio transport.

Enables AI agents to explore and query approved portions of local SQLite snapshots through denylist-free, policy-restricted typed MCP tools, including schema inspection, safe SELECT queries, table statistics, and schema-fingerprint verification. Sanitizes unmasked outputs and denies undeclared tables and sensitive columns so disclosures stay limited even during advanced queries.

MCP server that translates natural-language questions into SQL, validates every query structurally, and executes approved read-only queries against a SQLite database, returning results and rejections.

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.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

An MCP server that adds a safety layer with eight independent checks and audit logging between a language model and a broker order, supporting both on-disk simulation and live MetaTrader 5 terminals.

A secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.

Enables secure SQL query execution on MySQL databases with authentication and permission control, allowing users to explore database tables and run read-only queries.

Translates plain English questions about infrastructure operations into SQL queries, executes them against a database, and returns the real answer.

MCP server enabling natural-language querying of SQLite databases via schema discovery, GraphRAG retrieval, and safely guarded read-only SQL execution.

A governed SQL gateway that exposes typed tools to AI agents, compiling safe read-only queries from a semantic layer while blocking PII before execution, supporting SQL Server, Postgres, and SQLite.

Automatically scans SQLite databases and generates typed CRUD tools for each table, allowing natural language database interaction without exposing raw SQL.

Enables SQL database interaction with true server-side result paging, runtime-managed connection profiles, and SSH-bridged access for PostgreSQL.

Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.

Enables AI assistants to execute SQL queries and explore databases, tables, and catalogs on Databricks using Unity Catalog.

MCP server for connecting to databases (PostgreSQL, MySQL, SQL Server, Redis) enabling SQL queries, table exploration, and Redis key-value operations.

MCP server providing synthetic subscriber data (profiles, watch history, billing) for personalization in a Stream Discovery ADK agent.

Enables AI agents to interact with Threads via MCP, including sub-80ms keyword search, full nested discussion tree extraction, replying to any external thread, publishing posts, fetching user profiles and threads, trending topics, and engagement actions like likes and reposts.

MCP server that integrates sql-sop SQL linter into LLM clients, enabling linting SQL queries and listing lint rules via chat tools.

Enables AI clients to safely query PostgreSQL databases using plain English, with read-only access and built-in SQL safety checks.