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 LangChain 12 tools — connect in under 2 minutes

Name: GAN.ai
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect GAN.ai through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "ganai": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using GAN.ai, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with GAN.ai through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from GAN.ai via MCP

Why Use LangChain with the GAN.ai MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine GAN.ai MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across GAN.ai queries for multi-turn workflows

GAN.ai + LangChain Use Cases

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

RAG with live data: combine GAN.ai tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query GAN.ai, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain GAN.ai tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every GAN.ai tool call, measure latency, and optimize your agent's performance

GAN.ai MCP Tools for LangChain (12)

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

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

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

GAN.ai + LangChain FAQ

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

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.