SMKRV FAQs

Question 1

What is SMKRV and its main purpose?

Accepted Answer

SMKRV (SMKRV MCP Studio) is a software tool designed to transform your analytical databases into AI-ready data sources. It uses the Model Context Protocol (MCP) to enable AI agents and Large Language Models (LLMs) to query your live data directly, without requiring any custom backend code.

Question 2

How does SMKRV connect databases to AI models?

Accepted Answer

SMKRV facilitates this connection by allowing you to define 'SQL tools' using a visual builder. These tools generate MCP endpoints, which AI models like Claude, GPT, or Cursor can then use to securely interact with and retrieve data from your connected databases.

Question 3

What types of databases does SMKRV support?

Accepted Answer

SMKRV offers extensive multi-database support, connecting to over 10 popular analytical databases. This includes PostgreSQL, ClickHouse, MySQL, Snowflake, Google BigQuery, Microsoft SQL Server, Cassandra, Greenplum, Supabase, and SQLite.

Question 4

Is SMKRV easy to deploy and manage?

Accepted Answer

Yes, SMKRV prioritizes ease of deployment with its all-in-one Docker image. You can achieve a one-step Docker deployment and have the studio running in approximately 60 seconds, making it simple to get started and self-host.

Question 5

Can I define custom queries for AI access?

Accepted Answer

Absolutely. SMKRV features a visual SQL tool builder that allows you to intuitively define parameterized queries. Each query you create can be tested live against your database and then exposed as a secure MCP endpoint for AI consumption.

SMKRV

SMKRV

주요 기능

사용 사례

주요 기능

사용 사례