Unlock the power of AI-driven security and compliance analysis with Powerpipe! This Model Context Protocol server seamlessly connects AI assistants like Claude to your infrastructure compliance data, enabling natural language exploration and analysis of your cloud security posture.

Powerpipe MCP bridges AI assistants and your compliance data, allowing natural language:

• Exploration of security benchmarks and compliance frameworks
• Analysis of compliance status and findings
• Development and customization of controls
• Remediation guidance for failed checks

Works with your local Powerpipe installation, providing safe access to analyze your infrastructure against industry-standard security benchmarks and custom compliance frameworks.

• Node.js v16 or higher (includes npx)
• Powerpipe installed and configured
• A directory containing your Powerpipe mod files (required)

Add Powerpipe MCP to your AI assistant's configuration file:

{
  "mcpServers": {
    "powerpipe": {
      "command": "npx",
      "args": [
        "-y",
        "@turbot/powerpipe-mcp",
        "/path/to/your/mod/is/required"
      ]
    }
  }
}

The mod location argument is required and must point to a directory containing your Powerpipe mod files. This is where Powerpipe will look for benchmarks, controls, and other resources.

Save the configuration file and restart your AI assistant for the changes to take effect.

Here are some example questions you can ask to interact with your Powerpipe installation:

Explore available compliance frameworks:

What Powerpipe benchmarks do we have available?

Simple, specific questions work well:

Show me all controls related to S3 bucket encryption in the CIS AWS benchmark

Generate a compliance report:

What's our current compliance status for the NIST controls?

Dive into the details:

Find all failed controls in the AWS Security benchmark and explain why they failed

Get information about specific requirements:

Show me all controls related to password policies across our benchmarks

Explore with wide ranging questions:

Analyze our compliance gaps and suggest remediation steps

Remember to:

• Be specific about which benchmarks or frameworks you're interested in
• Mention the type of controls you want to analyze (encryption, access, networking, etc.)
• Start with simple queries before adding complex conditions
• Use natural language - the LLM will handle finding the right controls and benchmarks
• Be bold and open, it's amazing what insights the LLM will discover!

The Powerpipe MCP server includes a set of prompts that can be used to guide AI assistants in working with Powerpipe.

• powerpipe_mod_location
  • Critical first step: Sets up the working directory for your Powerpipe mods
  • Must be configured before using any other tools
  • Get or set the directory containing your Powerpipe mod files

• powerpipe_benchmark_list, powerpipe_benchmark_show, powerpipe_benchmark_run
  • Discover and work with complete compliance frameworks
  • List available compliance benchmarks and understand their scope
  • View detailed benchmark information including controls, tags, and documentation
  • Execute benchmarks to evaluate infrastructure against framework requirements

• powerpipe_control_list, powerpipe_control_show, powerpipe_control_run
  • Work with individual compliance requirements
  • List and examine specific controls from various frameworks
  • View control implementation details and associated queries
  • Run individual controls for targeted compliance checks

• powerpipe_detection_list, powerpipe_detection_show, powerpipe_detection_run
  • Identify specific security issues and compliance violations
  • List available security detections
  • View detection details including severity and remediation guidance
  • Run targeted security checks with actionable results

• powerpipe_query_list, powerpipe_query_show
  • Examine the foundation of compliance evaluation
  • List all SQL queries that power controls and detections
  • View query implementations to understand compliance checks
  • Analyze how infrastructure data is evaluated

• powerpipe_dashboard_list, powerpipe_dashboard_show, powerpipe_dashboard_run
  • Work with compliance and security visualizations
  • List available dashboards for compliance insights
  • View dashboard structure and components
  • Execute dashboards to get JSON snapshot data of compliance status

• powerpipe_variable_list, powerpipe_variable_show
  • Customize compliance evaluations
  • List available configuration variables
  • View variable details and current settings
  • Understand how to customize checks for your environment

• powerpipe_docs_hcl
  • Essential reference for Powerpipe development
  • Access detailed HCL documentation and examples
  • Understand syntax for all Powerpipe elements
  • Get guidance for writing and modifying mod files

The Powerpipe MCP provides access to the following resources:

• status
  • Represents the current state of the Powerpipe server
  • Properties include:
    • powerpipe_version: The current Powerpipe CLI version
    • server_version: The MCP server version
    • server_start_time: When the server was started
    • mod_location: Current working directory for mods

This resource enables AI tools to check and verify the Powerpipe environment state.

1. Clone the repository and navigate to the directory:

git clone https://github.com/turbot/powerpipe-mcp.git
cd powerpipe-mcp

2. Install dependencies:

npm install

3. Build the project:

npm run build

To test your local development build with AI tools that support MCP, update your MCP configuration to use the local dist/index.js instead of the npm package. For example:

{
  "mcpServers": {
    "powerpipe": {
      "command": "node",
      "args": [
        "/absolute/path/to/powerpipe-mcp/dist/index.js",
        "/path/to/your/mod/is/required"
      ]
    }
  }
}

Or, use the MCP Inspector to validate the server implementation:

npx @modelcontextprotocol/inspector dist/index.js

The following environment variables can be used to configure the MCP server:

• POWERPIPE_MCP_MOD_LOCATION: Set the working directory for Powerpipe mods (falls back to POWERPIPE_MOD_LOCATION if not set)
• POWERPIPE_MCP_LOG_LEVEL: Control MCP server logging verbosity with these values:
  • ERROR
  • WARN
  • INFO
  • DEBUG
  • TRACE
• POWERPIPE_MCP_MEMORY_MAX_MB: Maximum memory buffer size in megabytes (default: 100)

This repository is published under the Apache 2.0 license. Please see our code of conduct. We look forward to collaborating with you!

Powerpipe is a product produced from this open source software, exclusively by Turbot HQ, Inc. It is distributed under our commercial terms. Others are allowed to make their own distribution of the software, there is no commercial exclusivity for the Powerpipe trademark or brand.

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Want to help but not sure where to start? Pick up one of the help wanted issues:

• Powerpipe
• Powerpipe MCP