Guardrails FAQs

Name: Guardrails
Author: turbot

Question 1

What can I do with Guardrails MCP?

Accepted Answer

You can use natural language to query and analyze your cloud resources, list and filter resource types, execute compliance controls, explore GraphQL schemas, and process templates using Nunjucks for dynamic configurations.

Question 2

What is Guardrails MCP?

Accepted Answer

Guardrails MCP connects AI assistants (like Claude) to your Turbot Guardrails data. This enables you to use natural language to query your cloud resources, automate compliance tasks, and manage cloud policies.

Question 3

How do I install and configure Guardrails MCP?

Accepted Answer

You'll need Node.js v20 or higher, a Turbot Guardrails API key, and your Guardrails workspace endpoint URL. Add the MCP server configuration to your AI assistant's config file. See the README for detailed instructions.

Question 4

Which AI assistants are compatible with Guardrails MCP?

Accepted Answer

Guardrails MCP is compatible with AI assistants that support the Model Context Protocol (MCP), such as Claude Desktop and Cursor. Check their documentation for MCP configuration details.

Question 5

What are some example prompts I can use?

Accepted Answer

You can ask questions like "What AWS accounts can you see in Guardrails?", "Show me all S3 buckets created in the last week", or "List all EC2 instances that are non-compliant with our tagging standards".

Guardrails

Guardrails

주요 기능

사용 사례

주요 기능

사용 사례