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Vinkius
Unlock for AI Agents

Bring Generative Ai
to Claude Code

Learn how to connect GAN.ai to Claude Code and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Generate Personalized VideosGenerate Single VideoGet Generation StatusGet Project MetadataGet Video MetadataGet Video StatsGet Workspace InfoList Configured WebhooksList Generated VideosList Landing TemplatesList Video ProjectsVerify Api Connection
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GAN.ai

What is the 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.

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.

How it works

1. Subscribe to this server through the Vinkius Marketplace
2. Enter your GAN Workspace ID and API Token (found in your Settings)
3. Start managing your personalized video generation from Claude, Cursor, or any MCP client

Who is this for?

  • Growth Marketers — quickly trigger personalized video campaigns for new leads without manual dashboard uploads.
  • Sales Development Reps (SDRs) — get a real-time status of custom videos for prospects via simple AI commands.
  • Content Operations — automate the retrieval of video metadata and analytics for reporting.

Built-in capabilities (12)

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

Why Claude Code?

Claude Code registers GAN.ai as an MCP server in a single terminal command. Once connected, Claude Code discovers all 12 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where GAN.ai data drives decisions without human intervention.

  • —

    Single-command setup: claude mcp add registers the server instantly. no config files to edit or applications to restart

  • —

    Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

  • —

    Claude Code runs headlessly, enabling unattended batch processing using GAN.ai tools in cron jobs or deployment scripts

  • —

    Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

See it in action

GAN.ai in Claude Code

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

GAN.ai and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect GAN.ai to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Unlock for AI Agents View step-by-step setup guide for Claude Code →
Enterprise Security

Why teams choose Vinkius for GAN.ai in Claude Code

The GAN.ai 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Claude Code only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full GAN.ai details →
GAN.ai
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

The Vinkius Advantage

How Vinkius secures GAN.ai for Claude Code

Every tool call from Claude Code to the GAN.ai MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

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.

05

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.

06

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

07

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

08

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

09

Connection timeout

Check your internet connection and verify the Edge URL is reachable