How do I find my Workspace ID and API Token?

Log in to GAN.ai, go to Settings, and navigate to the API section to find your Workspace ID and generate a Bearer Token.

What is an 'Inference ID'?

An Inference ID is a unique tracking number returned when you trigger a video generation. You use it with the 'get_generation_status' tool to check if the video is ready.

Are personalized landing pages included in the API response?

Yes! Once a video is completed, the agent retrieves the 'permalink', which is a non-expiring link to the personalized landing page hosting the video.

Can I monitor video view analytics via the agent?

Yes, the 'get_video_stats' tool allows you to retrieve real-time engagement data, such as view counts and playback metrics, for any generated video.

GAN.ai MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Name: GAN.ai
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect GAN.ai through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="GAN.ai Assistant",
            instructions=(
                "You help users interact with GAN.ai. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from GAN.ai"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About GAN.ai MCP Server

Connect your GAN.ai account to any AI agent to automate your personalized video marketing and sales outreach through the Model Context Protocol (MCP). GAN.ai is a leading generative AI platform that enables brands to create thousands of unique videos with custom names, locations, and details. This MCP server enables you to trigger video generation, monitor real-time processing status, and retrieve landing page links directly through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from GAN.ai through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries GAN.ai, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

Key Features

Personalized Video Generation — Trigger bulk video generation based on project templates and dynamic tags (e.g., first name, company).
Real-time Status Monitoring — Track the asynchronous processing of your video requests and retrieve final MP4 and landing page URLs.
Project Oversight — List all video templates/projects and fetch detailed variable definitions for personalization.
Campaign Discovery — Access your history of generated videos and monitor their status (pending, processing, completed).
Landing Page Integration — Retrieve branded landing page permalinks for each generated video to fuel your outreach sequences.
Engagement Analytics — Fetch view counts and engagement metrics for specific videos to measure campaign success.
Webhook Visibility — List configured webhooks to ensure your systems are receiving real-time generation notifications.
Real-time Synchronization — Keep your generative video strategy accessible to your AI assistant without leaving your primary workspace.

The GAN.ai MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect GAN.ai to OpenAI Agents SDK via MCP

Follow these steps to integrate the GAN.ai MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 12 tools from GAN.ai

Why Use OpenAI Agents SDK with the GAN.ai MCP Server

OpenAI Agents SDK provides unique advantages when paired with GAN.ai through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

GAN.ai + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the GAN.ai MCP Server delivers measurable value.

Automated workflows: build agents that query GAN.ai, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries GAN.ai, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through GAN.ai tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query GAN.ai to resolve tickets, look up records, and update statuses without human intervention

GAN.ai MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect GAN.ai to OpenAI Agents SDK via MCP:

generate_personalized_videos

Generate videos in bulk

generate_single_video

Generate one video

get_generation_status

Check video status

get_project_metadata

Get template schema

get_video_metadata

Get video details

get_video_stats

Get engagement stats

get_workspace_info

ai workspace. Get workspace details

list_configured_webhooks

List active webhooks

list_generated_videos

List video history

list_landing_templates

List landing pages

list_video_projects

List video templates

verify_api_connection

ai API connectivity. Verify API access

Example Prompts for GAN.ai in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with GAN.ai immediately.

"List all my available video projects in GAN.ai."

"Generate a personalized video for 'John Doe' (johndoe@email.com) using project 'proj_123'."

"Check the status of video generation 'inf_abc789'."

Troubleshooting GAN.ai MCP Server with OpenAI Agents SDK

Common issues when connecting GAN.ai to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

GAN.ai + OpenAI Agents SDK FAQ

Common questions about integrating GAN.ai MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.