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Quality score 74Cstackql.io#coding#data

StackQL: Query and Manage Cloud Infrastructure and SaaS APIs with SQL

StackQL is an open-source engine that lets humans and AI agents query, provision and operate cloud and SaaS services with SQL, with no state file and no per-cloud SDK.

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About this tool

StackQL is an open-source engine that lets humans and AI agents query, provision and operate cloud and SaaS services with SQL, with no state file and no per-cloud SDK.

Key Capabilities

  • Query and manage cloud infrastructure and SaaS APIs using SQL as a unified interface.
  • Support AI agent integration, enabling agents to provision and query cloud resources.
  • Connect agents through a single MCP server (StackQL running in stdio mode) that fans out to whichever provider the query targets.
  • Serve as an interactive analysis tool in Jupyter notebooks, providing sources for cloud and SaaS provider data.
  • Provide a list of available providers, each with its own reference site.

Use Cases

  • Managing cloud infrastructure as code.
  • Auditing cloud configurations.
  • Cloud auto-remediation with AI.
  • Querying cloud resources with SQL.
  • Interacting with cloud control planes.

Platform

Support Supports Linux, macOS, and Windows.

Best for
  • Cloud engineers who need a unified SQL interface for multi-cloud infrastructure
  • DevOps teams looking to simplify querying and operating cloud resources
  • AI agent developers who need agents to provision and query cloud resources
  • Users who want to interactively analyze cloud and SaaS data in Jupyter notebooks
Use cases
  • Managing cloud infrastructure as code
  • Auditing cloud configurations
  • Cloud auto-remediation with AI
  • Querying cloud resources with SQL
  • Interacting with cloud control planes
Strengths
  • Open-source engine, freely usable and auditable
  • Uses SQL as a unified interface, eliminating the need for per-cloud SDKs
  • No state file required, simplifying operations
  • Supports AI agent integration via an MCP server
  • Cross-platform support for Linux, macOS, and Windows
  • Provides a list of available providers, each with its own reference site
Limitations
  • Pricing model is undisclosed
  • Learning curve is medium
  • Requires configuring provider credentials (e.g., Google Service Account Key, AWS access keys, Anthropic Admin key) to use

Features & use cases

Query and manage cloud and SaaS services with SQLNo state file requiredNo per-cloud SDK requiredAI agent integration to provision and query cloud resourcesConnect agents via a single MCP server (stdio mode)Usable as an interactive analysis tool in Jupyter notebooksAvailable providers list with individual reference sites

Quick facts

Public API available

At a glance

Maturity signals
  • Open source
Learning curve
  • Medium

Sources

Every profile keeps its sources and latest verification date.
01https://stackql.io/blog/cloud-security-and-inventory-analysis-with-stackql-and-jupyter

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