VCF Orchestrator MCP | Setup and Live Demo

Key Highlights of the Setup Process: Prerequisites: Users need Node.js (version 18 or later) and an AI assistant that supports the MCP standard (0:03 - 2:20). Installation & Configuration: Mayank walks through installing the package via npm, configuring the server with specific environment details (FQDN, organization name), and setting up a service account with proper permissions (2:25 - 5:50). Integration: The video covers modifying the AI assistant's configuration file to include the MCP JSON output and ensuring the server is running correctly within the AI interface (6:00 - 9:10). Live Demo & Use Case: Automated Workflow Creation: Mayank demonstrates asking Claude to create a workflow that generates a CSV report of all VMs in a specific vCenter (9:36 - 13:00). Refinement: The demo shows how to interact iteratively with the AI to troubleshoot, refine code, and ensure the workflow successfully logs the desired CSV data into a resource element (14:00 - 20:50). Conclusion: The project is open-source and available on GitHub, designed to help users who may not be expert vRO developers easily perform complex automation tasks through AI guidance (21:15 - 22:15). Blog: https://cloudblogger.co.in/2026/10/14...