Steampipe

Created By

b0ttle-neck8 months ago

Overview

what is Steampipe?

Steampipe is a simple MCP (Model Context Protocol) server that acts as a bridge between your AI model and the Steampipe tool, allowing for seamless integration and querying of data.

how to use Steampipe?

To use Steampipe, ensure you have the necessary prerequisites installed, including Python, Steampipe, and any LLM supporting MCP. Run the MCP Interceptor to test the server and execute queries through the provided UI.

key features of Steampipe?

Acts as a bridge between AI models and Steampipe tool.
Supports running SQL queries against various data sources.
Provides an intuitive UI for testing and executing queries.

use cases of Steampipe?

Integrating AI models with data querying capabilities.
Running SQL queries on GitHub repositories.
Testing and debugging MCP servers with the Inspector tool.

FAQ from Steampipe?

What are the prerequisites for using Steampipe?

You need Python 3.10+, Steampipe installed, and a compatible LLM.

How do I troubleshoot issues with the tool?

Check the MCP Inspector for errors and review server logs for execution issues.

Is there a security risk with using Steampipe?

Yes, executing arbitrary SQL queries can pose a security risk if not properly managed.

Server Config

{
  "mcpServers": {
    "steampipe": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/yourname/dev/mcp-steampipe",
        "run",
        "steampipe_mcp_server.py"
      ],
      "env": {}
    }
  }
}

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