CloudQuery FAQs

Name: CloudQuery
Author: cloudquery

Question 1

What data sources can the CloudQuery MCP Server connect to?

Accepted Answer

The server supports three main operational modes: 'cli' for quick starts, 'postgres' for querying data synced to a PostgreSQL destination, and 'platform' for direct access to CloudQuery Platform data.

Question 2

What is the CloudQuery MCP Server?

Accepted Answer

The CloudQuery MCP Server is a Model Context Protocol (MCP) server designed to provide AI clients with natural language access to your CloudQuery asset inventory data, simplifying data exploration and querying.

Question 3

Which AI clients and IDEs can integrate with CloudQuery MCP Server?

Accepted Answer

It offers seamless integration with leading AI-powered environments such as Claude Desktop, Cursor IDE, and VSCode, supporting various ways to connect and configure the server within these tools.

Question 4

How do I configure the CloudQuery MCP Server for my environment?

Accepted Answer

Configuration is managed through environment variables or `.env` files. You can specify details like PostgreSQL connection strings, CloudQuery Platform API keys, and other optional settings to suit your setup.

Question 5

Can the CloudQuery MCP Server be accessed remotely?

Accepted Answer

Yes, by setting the `HTTP_ADDRESS` environment variable, the server can run as a streamable HTTP server, allowing remote clients to connect and interact with your asset inventory data.

CloudQuery

CloudQuery

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