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Turbot Guardrails Model Context Protocol (MCP) Server

@turbot

Enable AI assistants to explore and query your Turbot Guardrails data!
Overview

What is Turbot Guardrails MCP?

Turbot Guardrails Model Context Protocol (MCP) Server enables AI assistants to explore and query your Turbot Guardrails data, facilitating natural language exploration, analysis, and automation across your cloud estate.

How to use Turbot Guardrails MCP?

To use the MCP, install it by following the prerequisites, configure it in your AI assistant's configuration file, and restart the assistant. You can then start querying your Guardrails environment using natural language.

Key features of Turbot Guardrails MCP?

  • Query and analyze cloud resources using GraphQL.
  • List and filter resource, control, and policy types.
  • Execute controls and review compliance.
  • Explore GraphQL schemas for custom queries.
  • Process templates using Nunjucks for dynamic configurations.

Use cases of Turbot Guardrails MCP?

  1. Querying AWS accounts and resources in Guardrails.
  2. Generating compliance and security reports.
  3. Exploring policy and control types related to cloud governance.

FAQ from Turbot Guardrails MCP?

  • What is required to set up the MCP?
    You need Node.js v20 or higher, a Turbot Guardrails API key, and the endpoint URL for your Guardrails workspace.

  • Can I use it with any AI assistant?
    Yes, it can be configured with various AI assistants like Claude and Cursor.

  • What kind of queries can I make?
    You can ask about resources, compliance, policies, and more using natural language.

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