Turbot Guardrails Model Context Protocol (MCP) Server
by turbot
The Turbot Guardrails MCP server connects AI assistants like Claude to your Guardrails data, enabling natural language exploration, analysis, and automation across your cloud estate. It bridges AI assistants and your Guardrails environment, allowing natural language querying and analysis of cloud resources.
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What is Turbot Guardrails Model Context Protocol (MCP) Server?
The Turbot Guardrails MCP server is a bridge between AI assistants and the Turbot Guardrails platform. It allows users to interact with their Guardrails environment using natural language, leveraging AI to query, analyze, and automate cloud governance tasks.
How to use Turbot Guardrails Model Context Protocol (MCP) Server?
To use the server, you need to install it, configure it with your Turbot Guardrails API credentials, and then configure your AI assistant to use the MCP server. Once configured, you can use natural language prompts to query and interact with your Guardrails environment.
Key features of Turbot Guardrails Model Context Protocol (MCP) Server
Natural language querying of cloud resources using GraphQL
Listing and filtering resource, control, and policy types
Executing controls and reviewing compliance
Exploring GraphQL schemas for custom queries
Processing templates using Nunjucks for dynamic configurations
Use cases of Turbot Guardrails Model Context Protocol (MCP) Server
Querying and analyzing cloud resource data using natural language.
Generating compliance and security reports.
Exploring policy and control types.
Automating cloud governance tasks using AI.
Diving into resource details using natural language prompts.
FAQ from Turbot Guardrails Model Context Protocol (MCP) Server
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is a protocol that allows AI assistants to access and interact with external data sources, such as Turbot Guardrails.
What prerequisites are required to use the Turbot Guardrails MCP Server?
What prerequisites are required to use the Turbot Guardrails MCP Server?
You need Node.js v20 or higher, a Turbot Guardrails API key with appropriate permissions, and the endpoint URL for your Guardrails workspace.
How do I configure my AI assistant to use the MCP server?
How do I configure my AI assistant to use the MCP server?
You need to add the MCP server configuration to your AI assistant's configuration file, specifying the command, arguments, and environment variables.
What kind of questions can I ask the AI assistant?
What kind of questions can I ask the AI assistant?
You can ask questions about your Guardrails environment, such as listing AWS accounts, showing S3 buckets created in the last week, or generating compliance reports.
What if I encounter authentication errors?
What if I encounter authentication errors?
Ensure your API key is correct and has the necessary permissions. Also, verify the Guardrails endpoint URL is correct.