MaxVideoAI MCP: Approve Creative Briefs in n8n Workflow

Approve creative briefs in n8n—then let MaxVideoAI generate with budget and quotes

MaxVideoAI MCP: Approve Creative Briefs in n8n Workflow turns a structured creative brief into a model recommendation, a calculated project budget, and an exact generation quote. It then pauses for explicit human approval before confirming generation and polling MaxVideoAI for the final result.

What this workflow does

• Starts manually and normalizes your incoming brief into three JSON objects: recommendationRequest, projectBudgetRequest, and generationRequest.
• Calls MaxVideoAI MCP to:
  • List available models and recommend the best models using recommendationRequest.
  • Calculate a project budget using projectBudgetRequest.
  • Prepare generation and return an exact quoteId for approval.
• Waits for approval (up to one day). The workflow resumes only via a POST webhook when the request body includes approved: true and the matching quoteId.
• Confirms generation with MaxVideoAI MCP after approval, then polls job status until completion/failure (or until the bounded retry limit is reached).
• Fetches the final generation presentation once the job reaches a terminal state; otherwise, leaves the accepted job recoverable by its jobId.

Use cases

• Give creators and operators a clear quote-based approval step before expensive video generation runs.
• Standardize how teams evaluate MaxVideoAI model recommendations and budgets for each creative brief.
• Run a controlled, auditable generation pipeline in n8n automation for SaaS operations and workflow engineering.

Technical details

• n8n nodes used: if, set, no op, wait, sticky note, manual trigger.
• Integration: MaxVideoAI MCP via OAuth2 credential for https://api.maxvideoai.com/mcp on every MaxVideoAI MCP node.
• Inputs: provide valid recommendationRequest, projectBudgetRequest, and generationRequest objects to the workflow.

Result: a professional, approval-gated MaxVideoAI generation workflow designed for n8n users who need predictable budgets and explicit sign-off.