@turbot/powerpipe-mcp/dist/resources/index.js

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

import { ListResourcesRequestSchema, ReadResourceRequestSchema } from "@modelcontextprotocol/sdk/types.js";
import { handleStatusResource } from "./status.js";
import { logger } from '../services/logger.js';
// Export all resources for server capabilities
export const resources = {
    status: {
        uri: "powerpipe://status",
        name: "status",
        type: "Status",
        description: "Server status information"
    }
};
export function setupResourceHandlers(server) {
    // Add resources/list handler
    server.setRequestHandler(ListResourcesRequestSchema, async () => {
        try {
            return {
                resources: Object.values(resources),
                _meta: {}
            };
        }
        catch (error) {
            // Log the error but don't fail - return default resources
            if (error instanceof Error) {
                logger.error("Critical error listing resources:", error.message);
            }
            else {
                logger.error("Critical error listing resources:", error);
            }
            // Provide at least the status resource
            return {
                resources: Object.values(resources),
                _meta: {}
            };
        }
    });
    server.setRequestHandler(ReadResourceRequestSchema, async (request) => {
        const { uri } = request.params;
        try {
            const result = await handleStatusResource(uri);
            if (!result) {
                throw new Error(`Invalid resource URI: ${uri}. Expected format: powerpipe://status`);
            }
            return result;
        }
        catch (error) {
            // Just wrap the error with the URI context
            throw new Error(`Failed to access resource ${uri}: ${error instanceof Error ? error.message : String(error)}`);
        }
    });
}
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