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.
Last updated: N/A
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?
- 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?
What is Steampipe?
Steampipe is an open-source tool that allows you to query cloud infrastructure and SaaS resources using SQL.
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a standard for AI tool integration.
What prerequisites are required?
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?
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?
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.