GAN.ai MCP. Automate personalized video outreach at scale.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
GAN.ai MCP Server handles personalized video generation at scale. Trigger bulk video creation, monitor real-time processing status, and gather engagement metrics via AI agents.
Use the `generate_personalized_videos` tool to build custom campaigns, and `get_video_stats` to measure results, all from your chat interface.
What your AI agents can do
Generate personalized videos
Sends requests to create videos for multiple recipients using defined templates and tags.
Generate single video
Creates one video asset for a single recipient.
Get generation status
Checks the current status of a video job and retrieves the final link if processing is complete.
The generate_personalized_videos tool initiates video creation for multiple leads based on defined project templates and variable tags.
The generate_single_video tool runs video generation for one specific recipient or use case.
The get_generation_status tool checks if a video is pending, processing, or if it has finished, and retrieves the final URL if complete.
The get_project_metadata tool retrieves the schema and variable definitions for a video project template.
The get_video_metadata tool retrieves specific details about a previously generated video asset.
The get_video_stats tool fetches view counts and engagement metrics for a specific video, helping you measure campaign success.
The list_video_projects tool shows all available video templates you can use for generation.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
GAN.ai MCP Server: 12 Tools for Video Marketing
These tools let you manage the full video lifecycle: creating assets, monitoring progress, and gathering performance data for personalized outreach.
019d75a2generate personalized videos
Sends requests to create videos for multiple recipients using defined templates and tags.
019d75a2generate single video
Creates one video asset for a single recipient.
019d75a2get generation status
Checks the current status of a video job and retrieves the final link if processing is complete.
019d75a2get project metadata
Retrieves the structure and variable definitions for a specific video project template.
019d75a2get video metadata
Gets detailed information about a specific video asset that has already been created.
019d75a2get video stats
Retrieves performance metrics like view counts and engagement rates for a video.
019d75a2get workspace info
Gets general details about your connected GAN.ai workspace.
019d75a2list configured webhooks
Shows a list of webhooks that are currently set up to notify other systems.
019d75a2list generated videos
Lists all videos that have been created, along with their status and history.
019d75a2list landing templates
Retrieves a list of branded landing page templates available for use.
019d75a2list video projects
Lists all video templates and projects available in your account.
019d75a2verify api connection
Checks if your API credentials and connection to GAN.ai are active and correct.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with GAN.ai, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
GAN.ai MCP Server handles personalized video generation at scale. You can trigger bulk video creation, monitor real-time processing status, and gather engagement metrics through your AI client. Use the generate_personalized_videos tool to build custom campaigns, and get_video_stats to measure results, all from your chat interface.
Video Creation and Management
- Use
generate_personalized_videosto send requests creating videos for multiple leads, pulling data from defined project templates and variable tags. - For a single recipient, run the
generate_single_videotool to create one video asset. - You can check if a video job is pending, processing, or finished using
get_generation_status; if it's done, it pulls the final link. list_video_projectsshows you every video template and project available in your account.- To see specific details about a video already made, call
get_video_metadata. - You can get the structure and variable definitions for any project template using
get_project_metadata. list_generated_videoslists every video that's been created, showing you its status and history.
Performance and Integration
get_video_statspulls performance metrics like view counts and engagement rates for a specific video, letting you measure campaign success.- You can get general details about your connected GAN.ai workspace using
get_workspace_info. list_landing_templatesretrieves a list of branded landing page templates you can use.list_configured_webhooksshows you a list of webhooks already set up to notify other systems.- The
verify_api_connectiontool checks if your API credentials and connection to GAN.ai are active and correct.
How GAN.ai MCP Works
- 1 First, use
list_video_projectsto find the ID of the campaign template you need. - 2 Next, call
generate_personalized_videoswith the template ID and the list of leads (with their personalization tags). - 3 Finally, use
get_generation_statusorlist_generated_videosto track the job until you can retrieve the final MP4 link and landing page permalink.
The bottom line is that you manage the entire video lifecycle—from template selection to final analytics—without logging into a separate dashboard.
Who Is GAN.ai MCP For?
Growth Marketers, Sales Development Reps (SDRs), and Content Operations staff. If your job involves making personalized videos for outreach, you need this. It eliminates the manual, time-consuming process of generating hundreds of unique assets and tracking them across separate dashboards.
Triggers bulk video campaigns for new leads using generate_personalized_videos and then uses get_video_stats to measure which campaign messages actually worked.
Asks the agent to check the status of a custom video for a prospect using get_generation_status, getting an immediate update without opening the GAN.ai dashboard.
Uses list_video_projects and get_project_metadata to audit which video templates are available, ensuring all required variable definitions are correct before a campaign launches.
What Changes When You Connect
- Automate large-scale campaigns. Use
generate_personalized_videosto trigger thousands of unique videos using dynamic tags (like first name or company) without manually uploading each one. - Measure ROI directly. Get view counts and engagement metrics using
get_video_stats. You can prove which specific video message converts best, linking campaign performance straight to the asset. - Stay in your chat. Instead of jumping between dashboards, monitor video status using
get_generation_status. The agent tells you if the video is 'Completed' and gives you the permalink. - Structure your assets. Before running a campaign, check
get_project_metadatato see exactly what variables a video template requires. This prevents failed runs due to missing input data. - Keep everything connected. Use
list_configured_webhooksto verify that your external systems (like CRMs) will receive real-time notifications when a video is ready for deployment. - Audit your history. Use
list_generated_videosto see a full record of every video you've ever made, helping you track which campaign types are most effective over time.
Real-World Use Cases
A Marketing Team needs to onboard 500 new leads.
The team can't manually create 500 videos. They prompt their agent: 'Generate personalized videos for all new leads using the 'Welcome Message v2' project.' The agent runs generate_personalized_videos. After a few minutes, the team uses get_generation_status to confirm the job is done and retrieve the landing page links for the next outreach sequence.
An SDR needs to check a video for a high-value prospect.
Instead of logging into the GAN.ai portal, the SDR simply asks: 'What's the status of the video for Acme Corp?'. The agent runs get_generation_status and immediately tells the SDR if the video is 'Completed,' providing the necessary permalink to send it right away.
A Content Manager needs to audit their video assets.
The manager uses list_video_projects to see all available templates. Then, they run get_project_metadata on a specific template to ensure that the variable definitions (like 'industry' or 'product_line') are current before committing to a major campaign.
A Campaign Analyst needs to report on campaign success.
The analyst asks the agent to get video metrics: 'Give me the view counts and engagement stats for the Q3 product demo video.' The agent runs get_video_stats, providing the raw data needed for their report, bypassing manual data extraction from the platform.
The Tradeoffs
Trying to list videos without checking connection
Asking the agent to run list_generated_videos right after connecting a new account, only to find the request fails because the API key is bad or expired.
→
Always run verify_api_connection first. This confirms your API credentials and access are working before attempting any generation or listing tasks.
Assuming all data is available
Prompting the agent to run generate_personalized_videos without first using get_project_metadata to confirm the required variable tags are set up. This results in a generation failure.
→
Run get_project_metadata to see the full schema of the template. Make sure all required tags (like first name or company) are available before you ask the agent to generate anything.
Treating video creation as a single action
Calling generate_single_video repeatedly for many leads. This is slow, inefficient, and doesn't scale.
→
Use generate_personalized_videos instead. This tool is built for bulk processing and handles hundreds of recipients efficiently using one single command.
When It Fits, When It Doesn't
Use this if you need to automate personalized video outreach at scale. If your process involves creating unique video assets for dozens or hundreds of people based on data fields (like name or company), this server is for you. It handles the entire flow: from setting up the template (get_project_metadata) to generating the content (generate_personalized_videos) and finally measuring the outcome (get_video_stats).
Don't use it if you only need basic video file storage or if your goal is purely live, unpersonalized streaming video. For those tasks, you need a different media platform. If you only need to list simple records, a standard database query tool will suffice. This server is for high-volume, data-driven content campaigns.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GAN.ai. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Outreach video campaigns used to require constant dashboard switching.
Before the GAN.ai MCP Server, launching a personalized campaign meant logging into the video platform, selecting the template, manually inputting the data fields for the first few leads, hitting 'generate,' waiting, then checking the status in a second tab, and finally exporting the metrics to a third spreadsheet. The whole process was a cycle of clicks, tabs, and copy-pasting.
Now, you just talk to your agent. You tell it to run the campaign. It handles the multi-step process—generation, tracking, and data retrieval—in natural conversation. You get the final asset links and the performance data without ever leaving your chat window.
GAN.ai MCP Server: Run video ops from your agent chat.
You no longer have to copy a template ID or track a job ID across multiple systems. You ask the agent to 'Check the status of the video for Acme Corp.' It handles the `get_generation_status` call and gives you the immediate, actionable answer you need.
The entire workflow is now conversational. The agent manages the complexity of the underlying tools, giving you a single, reliable interface that makes video marketing feel like a simple chat command.
Common Questions About GAN.ai MCP
How do I check the status of a video using the `get_generation_status` tool? +
You simply ask the agent to check the status for a given video job ID. The agent runs get_generation_status and tells you if the video is 'Pending,' 'Processing,' or 'Completed,' and provides the final link if it finished.
What data can I get using `get_video_stats`? +
The get_video_stats tool retrieves view counts and engagement metrics for a specific video. This lets you measure campaign performance and prove which videos resonated with your audience.
Can I generate videos for multiple people at once with `generate_personalized_videos`? +
Yes. generate_personalized_videos is designed for scale. You provide the template and a list of recipients, and it triggers bulk generation for every single lead in the batch.
What should I do if I don't know what variables a template needs? +
Run get_project_metadata first. This tool shows the exact schema and variable definitions required for that specific video project, preventing generation errors.
How do I see all the video templates available in GAN.ai? +
Use the list_video_projects tool. This command fetches a list of all available video templates you can choose from for your campaigns.
How do I use `list_video_projects` to find out what kind of personalization is possible? +
This tool lists all your video templates. You can then use get_project_metadata on a specific template ID to see exactly which dynamic tags, like 'first name' or 'company', it supports for personalization.
What does `get_workspace_info` provide about my GAN.ai account setup? +
It returns core details about your GAN workspace, including your unique Workspace ID and API token status. This info is essential for debugging connectivity issues or confirming your basic account credentials.
How can I check if my AI agent can actually talk to GAN.ai using `verify_api_connection`? +
Running verify_api_connection confirms that your API token is active and that your AI client has the necessary permissions. It’s the first step before running any generation or retrieval tools.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
More in this category
Flodesk
Design gorgeous email campaigns with intuitive templates that grow your audience and reflect your brand without design skills.
WhatsApp Business Alternative
Automate your customer communication — send templates and manage profiles via AI.
FirstQuadrant Alternative
Orchestrate AI-driven sales and marketing campaigns. Manage API keys, user registration, and campaign execution directly through your AI agent.
You might also like
Braze
Manage customer engagement via Braze — track users, list campaigns, and trigger canvases directly from any AI agent.
MobTech Platform
Bring MobTech's SMSSDK and ShareSDK to your AI workflow. Automate SMS code verifications and analyze social engagement.
CoinAPI
Unified cryptocurrency data platform — access market data across hundreds of exchanges via AI.