"How to connect to Azure SQL database" matching MCP servers:

A governed SQL gateway for untrusted AI agents, providing controlled access to PostgreSQL, MySQL, and OceanBase with RBAC, field ACLs, row policies, and cost controls.

Enables MCP clients to read, search, and send WhatsApp messages with a server-enforced send gate for safety.

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.

An MCP server for inter-session communication between Claude Code instances. Built on NATS JetStream, it provides room-based messaging, direct agent communication, presence tracking, and message history.

Anchor AI FinOps to real, live cloud pricing. AWS, GCP & Azure — public list prices and enterprise negotiated rates. No credentials needed for AWS and Azure public pricing.

The most comprehensive Azure DevOps MCP server & CLI — 13 tools, 82 actions, single Go binary.

Connect Legacy Databases to AI Agents via Model Context Protocol. Open-source bridge for LLM data analysis.

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.

Enables SQL queries against PostgreSQL databases through MCP-compatible clients and includes a natural language agent for forming SQL queries from natural language.

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

Connect your Umami Analytics to any MCP client to derive insights from natural language.

Enables AI agents to connect to the EVC Mesh task management platform for task management, persistent memory, event publishing, and multi-agent coordination.

Connect to your TTRPG campaign's repository and database. Instead of retrieving prose, its 48 tools (20 read, 28 write) return typed state: 14 entity schemas (NPCs, factions, locations, sessions, lore), relationship and knowledge-graph queries, wiki blocks, and a narrative-state bundle of open threads and canon facts.

Enables AI agents to monitor and control Prusa 3D printers over PrusaLink or Prusa Connect, including status and camera checks, file upload and print control, G-code execution, queue and history access, and responding to printer dialogs.

Enables AI agents to read and edit entity-relationship diagrams and SQL database schemas on the liz-whiteboard collaborative whiteboard through natural language, supporting table, column, and relationship management.

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.

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.

Connect any AI client to the CaBrain memory system via MCP, exposing tools for memory recall, retain, and brain management.