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 Pydantic AI 12 tools — connect in under 2 minutes

Name: GAN.ai
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect GAN.ai through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to GAN.ai "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in GAN.ai?"
    )
    print(result.data)

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.

Pydantic AI validates every GAN.ai tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from GAN.ai with type-safe schemas

Why Use Pydantic AI with the GAN.ai MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your GAN.ai integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your GAN.ai connection logic from agent behavior for testable, maintainable code

GAN.ai + Pydantic AI Use Cases

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

Type-safe data pipelines: query GAN.ai with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple GAN.ai tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query GAN.ai and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock GAN.ai responses and write comprehensive agent tests

GAN.ai MCP Tools for Pydantic AI (12)

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

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

GAN.ai + Pydantic AI FAQ

Common questions about integrating GAN.ai MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your GAN.ai MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.