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universal-db-mcp-connector

Query relational and NoSQL databases via natural language through MCP tools.

7|2|Updated May 16, 2026
Search Tags:#database#mcp#sql generation#schema exploration#http integration#read-only safety#natural language querying
One-click install
npx skills add https://github.com/Aradotso/mcp-skills --skill universal-db-mcp-connector
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: universal-db-mcp-connector
Source: https://github.com/Aradotso/mcp-skills/tree/main/skills/universal-db-mcp-connector
Command: npx skills add https://github.com/Aradotso/mcp-skills --skill universal-db-mcp-connector

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of making it difficult and error-prone to connect AI assistants to multiple databases and run schema-aware, natural-language database queries.

Core Features & Use Cases

  • Multi-database MCP connectivity: Connects AI assistants to 17+ database types (MySQL, PostgreSQL, MongoDB, Oracle, Redis, SQLite, and more) through a single MCP connector.
  • Schema-aware analysis and safe querying: Provides MCP tools to fetch schema/table details and execute SQL queries (with a recommended read-only mode) so agents can answer questions accurately.
  • Stdio and HTTP deployment options: Works via stdio for local desktop integrations and via an HTTP server mode (with REST/SSE style access patterns) for remote or platform integrations.
  • Use Case: A team wants Claude Desktop, Cursor, and Dify to answer questions about production and analytics databases without hand-writing SQL every time.

Quick Start

Tell your AI to connect using universal-db-mcp in read-only mode to your MySQL database, then ask for the database schema and execute a natural-language question as SQL via the MCP tools.

Frequently Asked Questions about universal-db-mcp-connector

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I connect an AI assistant to query multiple databases using natural language?▼

You can connect an AI assistant to query multiple databases using natural language by deploying a universal MCP connector that exposes schema exploration and SQL execution tools to the agent. This allows the AI to fetch table details and execute natural-language questions as SQL across 17+ database types.

Can I use MCP to query both SQL and NoSQL databases like MongoDB and Redis?▼

Yes, you can use an MCP connector to query both SQL and NoSQL databases like MongoDB and Redis. A universal database MCP connector supports multi-database environments, enabling schema exploration and read-only SQL execution across relational and NoSQL platforms.

How do I run AI database queries in read-only mode for production safety?▼

To run AI database queries in read-only mode for production safety, configure the MCP connector with a read-only mode setting before connecting the AI assistant. This ensures the agent can fetch schema details and execute queries without risking data modification on the target database.

Does MCP database connectivity support HTTP server mode for remote integrations?▼

Yes, MCP database connectivity supports HTTP server mode for remote integrations alongside stdio mode for local desktop setups. The HTTP server mode exposes MCP tools via REST/SSE style access patterns, enabling remote platforms to query databases through the connector.

What is the best way to perform schema exploration before executing SQL from an AI agent?▼

The best way to perform schema exploration before executing SQL from an AI agent is to use an MCP connector that provides dedicated schema exploration tools. The connector fetches database schema and table or enum details, allowing the AI to generate accurate SQL based on the database structure.

How do I configure MCP tools for database queries on platforms like Claude Desktop or Cursor?▼

To configure MCP tools for database queries on platforms like Claude Desktop or Cursor, set up the universal MCP connector in stdio mode for local integrations. You must provide configuration for the target database type, host, and credentials so the agent can access schema details and execute queries.

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