Skip to main content
Glama
b0ttle-neck

mcp-steampipe

by b0ttle-neck

run_steampipe_query

Execute SQL queries via Steampipe CLI and retrieve results as JSON. Designed for integration with MCP, enabling data retrieval and analysis from Steampipe.

Instructions

Executes a SQL query using the Steampipe CLI and returns the results as a JSON string.

Args: query: The SQL query to execute via Steampipe (e.g., "select login from github_user limit 1"). Ensure the query is valid Steampipe SQL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes

Implementation Reference

  • The main handler function for the 'run_steampipe_query' tool. It executes Steampipe SQL queries using subprocess, captures JSON output, parses it, and returns formatted JSON or error messages. Registered via @mcp.tool() decorator.
    @mcp.tool()
    def run_steampipe_query(query: str) -> str:
        """
        Executes a SQL query using the Steampipe CLI and returns the results as a JSON string.
    
        Args:
            query: The SQL query to execute via Steampipe (e.g., "select login from github_user limit 1").
                   Ensure the query is valid Steampipe SQL.
        """
        logger.info(f"Received request to run Steampipe query: {query}")
        command = ["steampipe", "query", query, "--output", "json"]
    
        try:
            # Execute the command
            # Set timeout to prevent hanging indefinitely (e.g., 60 seconds)
            result = subprocess.run(
                command,
                capture_output=True,
                text=True,
                check=False, # Don't raise exception on non-zero exit code, handle manually
                timeout=60
            )
    
            # Log stdout/stderr regardless of success for debugging
            if result.stdout:
                logger.info(f"Steampipe stdout:\n{result.stdout[:500]}...") # Log truncated stdout
            if result.stderr:
                logger.warning(f"Steampipe stderr:\n{result.stderr}")
    
            # Check if the command executed successfully
            if result.returncode != 0:
                error_message = f"Steampipe query failed with exit code {result.returncode}."
                if result.stderr:
                    error_message += f"\nError details: {result.stderr}"
                logger.error(error_message)
                # Return the error message to Claude so it knows what went wrong
                return f"Error: {error_message}"
    
            # Attempt to parse the JSON output
            try:
                # Steampipe might return multiple JSON objects (one per row) or a single JSON array
                # Handle potential multiple JSON objects streamed line by line
                lines = result.stdout.strip().splitlines()
                if not lines:
                     logger.info("Steampipe returned no output.")
                     return "[]" # Return empty JSON array if no output
    
                # Try parsing as a single JSON array first (common case)
                try:
                    parsed_json = json.loads(result.stdout)
                    output_string = json.dumps(parsed_json, indent=2)
                    logger.info("Successfully parsed Steampipe output as single JSON object/array.")
                    return output_string
                except json.JSONDecodeError:
                     # If single parse fails, try parsing line by line
                    logger.warning("Failed to parse stdout as single JSON, attempting line-by-line parsing.")
                    parsed_objects = []
                    for line in lines:
                        try:
                            parsed_objects.append(json.loads(line))
                        except json.JSONDecodeError as json_err_line:
                            logger.error(f"Failed to parse line: {line}. Error: {json_err_line}")
                            # Decide how to handle line parse errors, maybe return partial results or error
                    if not parsed_objects:
                         logger.error("Failed to parse any lines from Steampipe output.")
                         return "Error: Failed to parse Steampipe JSON output."
                    output_string = json.dumps(parsed_objects, indent=2)
                    logger.info("Successfully parsed Steampipe output line-by-line.")
                    return output_string
    
            except json.JSONDecodeError as json_err:
                error_message = f"Failed to parse Steampipe output as JSON. Error: {json_err}. Raw output: {result.stdout}"
                logger.error(error_message)
                return f"Error: {error_message}" # Return error and raw output for debugging
    
        except subprocess.TimeoutExpired:
            error_message = "Steampipe query timed out after 60 seconds."
            logger.error(error_message)
            return f"Error: {error_message}"
        except FileNotFoundError:
            error_message = "Steampipe command not found. Make sure it's installed and in your system PATH."
            logger.error(error_message)
            return f"Error: {error_message}"
        except Exception as e:
            error_message = f"An unexpected error occurred while running Steampipe: {e}"
            logger.exception(error_message) # Log full traceback
            return f"Error: {error_message}"

Tool Definition Quality

Score is being calculated. Check back soon.

Install Server

Other Tools

Related Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/b0ttle-neck/mcp-steampipe'

If you have feedback or need assistance with the MCP directory API, please join our Discord server