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Steampipe Model Context Protocol (MCP) Server

@turbot

Enable AI assistants to explore and query your Steampipe data!
Overview

What is Steampipe Model Context Protocol (MCP) Server?

The Steampipe MCP Server enables AI assistants to explore and query your Steampipe data, facilitating natural language exploration and analysis of cloud infrastructure data.

How to use Steampipe MCP?

To use the Steampipe MCP, install the required prerequisites, configure your AI assistant with the MCP server settings, and start querying your cloud infrastructure using natural language.

Key features of Steampipe MCP?

  • Connects AI assistants to cloud infrastructure data.
  • Supports queries across AWS, Azure, GCP, and over 100 cloud services.
  • Provides security and compliance analysis.
  • Assists in cost and resource optimization.
  • Offers query development assistance.

Use cases of Steampipe MCP?

  1. Querying cloud resources like EC2 instances and S3 buckets.
  2. Conducting security analysis on IAM users and access keys.
  3. Generating compliance reports for cloud resources.
  4. Exploring potential risks in cloud infrastructure.

FAQ from Steampipe MCP?

  • What AI assistants are compatible with Steampipe MCP?

The MCP server works with various AI assistants, including Claude and Cursor.

  • Is there a cost associated with using Steampipe MCP?

Steampipe MCP is open-source and free to use under the Apache 2.0 license.

  • What are the prerequisites for installation?

You need Node.js v16 or higher and a running Steampipe installation or a Turbot Pipes workspace.

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