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Steampipe MCP

by b0ttle-neck

This is a simple Steampipe MCP server that acts as a bridge between your AI model and the Steampipe tool. It allows AI models to execute Steampipe queries.

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What is Steampipe MCP?

Steampipe MCP server is a bridge that allows Large Language Models (LLMs) to interact with and execute queries using Steampipe. It enables AI models to retrieve data from various sources through Steampipe's plugins.

How to use Steampipe MCP?

  1. Install the prerequisites (Python, uv, Steampipe, Node.js). 2. Configure Steampipe and the necessary plugins (e.g., github). 3. Run the MCP server. 4. Use the MCP Inspector to test the server and tool. 5. Configure your LLM with the server and tool, and then select the tool from the LLM interface.

Key features of Steampipe MCP

  • Bridge between AI models and Steampipe

  • Allows AI to execute Steampipe queries

  • Supports various Steampipe plugins

  • MCP Inspector for testing

  • Integration with LLMs supporting MCP

Use cases of Steampipe MCP

  • Automated data retrieval from cloud providers

  • AI-powered security analysis

  • Generating reports using AI

  • Automated infrastructure monitoring

  • Data-driven decision making with AI

FAQ from Steampipe MCP

What is Steampipe?

Steampipe is an open-source tool that allows you to query cloud infrastructure and SaaS resources using SQL.

What is MCP?

MCP stands for Model Context Protocol, a standard for AI tool integration.

What prerequisites are required?

Python 3.10+, uv, Steampipe, Node.js, and an LLM supporting MCP.

How do I test if the server is working?

Use the MCP Inspector to send queries and view the results.

What are the security risks?

The server blindly executes SQL queries, so there is a possibility to generate and execute arbitrary SQL Queries via Steampipe using your configured credentials.