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 AutoGen 12 tools — connect in under 2 minutes

Name: GAN.ai
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add GAN.ai as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="ganai_agent",
            tools=tools,
            system_message=(
                "You help users with GAN.ai. "
                "12 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use GAN.ai tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the GAN.ai MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 12 tools from GAN.ai automatically

Why Use AutoGen with the GAN.ai MCP Server

AutoGen provides unique advantages when paired with GAN.ai through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use GAN.ai tools to solve complex tasks

Role-based architecture lets you assign GAN.ai tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive GAN.ai tool calls

Code execution sandbox: AutoGen agents can write and run code that processes GAN.ai tool responses in an isolated environment

GAN.ai + AutoGen Use Cases

Practical scenarios where AutoGen combined with the GAN.ai MCP Server delivers measurable value.

Collaborative analysis: one agent queries GAN.ai while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from GAN.ai, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using GAN.ai data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process GAN.ai responses in a sandboxed execution environment

GAN.ai MCP Tools for AutoGen (12)

These 12 tools become available when you connect GAN.ai to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

GAN.ai + AutoGen FAQ

Common questions about integrating GAN.ai MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call GAN.ai tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.