Bring Generative Ai
to OpenAI Agents SDK
Learn how to connect GAN.ai to OpenAI Agents SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
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 videos in bulk
Generate one video
Check video status
Get template schema
Get video details
Get engagement stats
ai workspace. Get workspace details
List active webhooks
List video history
List landing pages
List video templates
ai API connectivity. Verify API access
Why OpenAI Agents SDK?
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.
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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
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
GAN.ai in OpenAI Agents SDK
GAN.ai and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect GAN.ai to OpenAI Agents SDK 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for GAN.ai in OpenAI Agents SDK
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 OpenAI Agents SDK 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.

* 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
How Vinkius secures
GAN.ai for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the GAN.ai MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
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.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
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.
