@turbot/powerpipe-mcp/dist/tools/powerpipe_control_run.js

Powerpipe MCP server to run benchmarks, detections and controls using AI.

import { ConfigurationService } from "../services/config.js";
import { executeCommand, formatResult } from "../utils/command.js";
import { buildPowerpipeCommand, getPowerpipeEnv } from "../utils/powerpipe.js";
import { handlePowerpipeRunOutput } from "../utils/powerpipe_run.js";
function validateParams(args) {
    if (!args || typeof args !== 'object') {
        throw new Error('Arguments must be an object');
    }
    const params = args;
    if (!params.qualified_name || typeof params.qualified_name !== 'string') {
        throw new Error('qualified_name is required and must be a string');
    }
    return params;
}
export const tool = {
    name: "powerpipe_control_run",
    description: "Executes a specific control to evaluate your infrastructure against a single compliance requirement. Use control show first to understand what will be evaluated.",
    inputSchema: {
        type: "object",
        properties: {
            qualified_name: {
                type: "string",
                description: "The qualified name of the control to run"
            }
        },
        required: ["qualified_name"],
        additionalProperties: false
    },
    handler: async (args) => {
        const params = validateParams(args);
        const config = ConfigurationService.getInstance();
        const modDirectory = config.getModLocation();
        const cmd = buildPowerpipeCommand(`control run ${params.qualified_name}`, modDirectory, { output: 'json' });
        const env = getPowerpipeEnv(modDirectory);
        try {
            const output = executeCommand(cmd, { env });
            const result = JSON.parse(output);
            return formatResult({ result }, cmd);
        }
        catch (error) {
            return handlePowerpipeRunOutput(error, cmd);
        }
    }
};
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