Steampipe
Connects AI models to Steampipe, enabling them to execute queries and retrieve data.
About
This Python-based tool acts as a bridge between AI models and the Steampipe CLI, allowing AI to query and interact with various data sources through Steampipe's plugins. It leverages the Model Context Protocol (MCP) to facilitate communication between the AI model and Steampipe, enabling the execution of SQL queries and retrieval of structured data. It includes an MCP Inspector for testing and troubleshooting.
Key Features
- Provides a Python-based server implementation
- Enables AI models to execute Steampipe queries
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- Utilizes the Model Context Protocol (MCP) for communication
- Includes MCP Inspector for testing and debugging
- Supports any LLM with MCP capabilities
Use Cases
- Allowing AI agents to gather information from cloud infrastructure
- Enabling AI to query and analyze code repositories
- Integrating data from various Steampipe plugins into AI workflows
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