Elai AI Video MCP. Manage full-cycle video production via chat.
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Elai AI Video MCP Server. Your agent handles the full video production lifecycle—from generating video concepts and selecting avatars to managing rendering status and retrieving final assets.
It connects your AI client to Elai.io's API, letting you run complex video jobs using natural language conversation.
What your AI agents can do
Create new ai video
Creates a new AI video project using a selected template or a provided text script.
Get elai account metadata
Retrieves your account's current credit balance and overall usage metadata.
Get video details
Gets the specific settings and current rendering status for one video project ID.
Starts a new AI video project using a specified template or text script.
Retrieves the current rendering status and detailed settings for a specific video ID.
Provides a comprehensive list of every video project created in the Elai account.
Lists all available AI presenters, including their unique IDs and preview thumbnails.
Lists all supported AI voices, languages, and video templates for production planning.
Retrieves metadata, credit balances, and high-level summaries of your Elai account.
Triggers the rendering process for a video that has been created but is not yet finished.
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Elai AI Video MCP Server: 10 Tools for Video Ops
These tools let your agent manage the full video production pipeline: from listing avatars and templates to creating new videos and triggering final renders.
019d758ecreate new ai video
Creates a new AI video project using a selected template or a provided text script.
019d758eget elai account metadata
Retrieves your account's current credit balance and overall usage metadata.
019d758eget video details
Gets the specific settings and current rendering status for one video project ID.
019d758elist ai videos
Retrieves a list of every video project created in your account.
019d758elist available avatars
Lists all AI presenters available for use in video generation.
019d758elist available voices
Lists all supported AI voices and languages for video narration.
019d758elist latest video projects
Identifies the most recently created or updated video projects in your account.
019d758elist successfully rendered videos
Finds videos that have finished rendering and are ready for immediate download.
019d758elist video templates
Lists all video templates available in your Elai account.
019d758etrigger video rendering
Starts the rendering process for a specific video project that is queued up.
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 Elai AI Video, 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
Your agent handles the whole video production lifecycle, connecting your AI client straight to Elai.io's API. You can run complex video jobs using nothing but natural language.
Creating Video Assets
'Use create_new_ai_video to kick off a new AI video project, whether you pick a template or you just give it a text script.'
Checking Project Status
'You'll get the specific settings and current rendering status for any video project ID using get_video_details. You can also check the overall status of all videos in your account with list_ai_videos. Need to know what just got done? list_latest_video_projects shows the newest stuff. And if you just want to grab the finished ones, list_successfully_rendered_videos finds them for you.'
Discovering Resources
'You can check out every available AI presenter by calling list_available_avatars. Want to pick a voice? list_available_voices gives you all the supported AI voices and languages. For production planning, list_video_templates shows every video template in your Elai account. You'll also find your current account credit balance and general usage metadata by running get_elai_account_metadata.'
Advancing Production
'If a video's queued up but hasn't rendered yet, you can kick off the final rendering process with trigger_video_rendering for that specific project. You can also look at all the video projects you've ever made using list_ai_videos.'
How Elai AI Video MCP Works
- 1 First, your agent calls
list_available_avatarsto identify a presenter andlist_video_templatesto pick a format. - 2 Next, the agent uses
create_new_ai_videowith the chosen assets to queue the job, and then callstrigger_video_renderingto start the process. - 3 Finally, your agent monitors the progress by calling
get_video_detailsuntil the status is 'Ready' and the video is available for download.
The bottom line is, your agent manages the entire video lifecycle—from planning assets to triggering the final render—using conversation.
Who Is Elai AI Video MCP For?
Content marketing teams and operations leads who can't afford to wait days for video assets. If you're constantly juggling video editors, voice actors, and project managers, this is for you. It gives you a single point of control for high-volume, rapid video production.
Uses the server to check the status of dozens of videos simultaneously and ensure brand assets are correctly applied across all renders.
Uses the server to quickly test different avatar combinations and voice options without needing to jump between multiple SaaS platforms.
Uses the server to audit organizational video metadata and track total rendering minutes remaining to plan quarterly content budgets.
What Changes When You Connect
- Track Assets: Instead of checking a dashboard, ask the agent to
list_ai_videosorlist_latest_video_projectsto see your entire video portfolio instantly. You get visibility into every project's status without logging into the Elai platform. - Manage Credits: Don't get caught without minutes. Use
get_elai_account_metadatato pull your current credit balance and usage summary. This prevents rendering jobs from failing halfway through. - Build Content: Use
list_available_avatarsandlist_available_voicestogether. Your agent pulls the right combination of presenters and voices, letting you test concepts faster than manually building them. - Accelerate Workflow: Once the content is ready, calling
trigger_video_renderingstarts the job. You don't wait; you ask the agent to monitor it usingget_video_detailsuntil it's done. - Plan Content: Before creating anything, run
list_video_templatesandlist_available_voicesto ensure you have the right format and language support for your target market. - Audit Results: Use
list_successfully_rendered_videosto filter out the noise. You only get a list of videos that are 100% finished and ready to download, saving you manual QA time.
Real-World Use Cases
Need to audit last month's campaign videos.
The Ops Lead needs a quick count of all finished assets. They ask the agent to run list_successfully_rendered_videos. The agent responds with a list, showing exactly how many assets are ready for download, solving the need for manual spreadsheet tracking.
Launching a new product with a limited budget.
The Marketing Manager first calls get_elai_account_metadata to check the remaining minutes. They then use list_video_templates to find the optimal format. Finally, they use create_new_ai_video to queue the first draft, making sure they don't overspend their allocated budget.
Checking on a high-priority video render.
The Content Creator needs to know if 'Q3 Announcement' finished. They ask the agent to get_video_details using the specific video ID. The agent confirms the status (e.g., '65% complete') and gives an ETA, eliminating the need to refresh a separate dashboard page.
Creating a diverse set of training modules.
The Training Specialist needs to ensure brand consistency. They first run list_available_avatars to pick the approved presenter and list_available_voices to select the required language. They then use create_new_ai_video to queue the content across multiple modules.
The Tradeoffs
Manually tracking rendering status
Logging into the Elai dashboard and refreshing the 'Projects' tab every 5 minutes to see if the video finished, only to find the connection times out or the UI is slow.
→
Ask your agent to check the status by calling get_video_details using the video ID. This pulls the live status directly via API, which is faster and more reliable than the web UI.
Starting videos without checking credits
Running a large-scale campaign video that fails 2/3 of the way through because the account ran out of rendering minutes, wasting time and money.
→
Always run get_elai_account_metadata first. This confirms your available account minutes before you commit to a large, resource-intensive job.
Forgetting required assets
Attempting to build a video using a template or voice that doesn't support the required language, leading to an immediate error and wasted setup time.
→
Use list_video_templates and list_available_voices to verify that the template and the voice match the necessary language before you call create_new_ai_video.
When It Fits, When It Doesn't
Use this server if your job is inherently about managing a pipeline of assets. You need to check status, list resources, and trigger jobs based on external data. For example, if you need to know which videos are ready to download, you must use list_successfully_rendered_videos. Don't use this if you just need to draft a script or write a single, standalone piece of copy; those tasks belong in a general LLM or writing tool. If your need is to compare video assets against ad campaign metrics, you need a dedicated ad-tech API, not this video production tool.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Elai AI Video. 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.
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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 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Managing video production usually means jumping between 4-5 different tabs.
Today, launching a video involves logging into the platform, navigating to 'Projects,' finding the specific video ID, checking the status, then opening a separate dashboard to check the credit balance, and finally going to a third tab to see the list of available avatars. It’s a manual, multi-step dance that takes time and makes it easy to miss a critical status update.
With this MCP server, you just ask your agent, 'What's the status of the Q3 explainer?' It handles the `get_video_details` call and gives you the answer, including the progress percentage and the estimated completion time. The whole process happens in a chat, and you get the actionable status immediately.
Elai AI Video MCP Server: Full video ops from chat.
You don't have to manually check the render status or run through the asset checklists. The agent orchestrates the flow: it uses `list_available_avatars` to find presenters, `list_video_templates` to select the format, and then calls `create_new_ai_video`. You just talk through the steps.
The difference is orchestration. Instead of you having to remember the exact sequence of API calls, you tell your agent the goal. It figures out the right sequence of `list_available_avatars` -> `create_new_ai_video` -> `trigger_video_rendering` calls and manages the state changes for you.
Common Questions About Elai AI Video MCP
How do I check if a video render is complete using the list_ai_videos tool? +
You should use get_video_details or list_successfully_rendered_videos. While list_ai_videos gives you a list, get_video_details gives you the current, specific status, and the dedicated success list only shows finished assets.
Which tool should I use to see available AI avatars? +
Use list_available_avatars. This tool pulls the registry and gives you names, unique IDs, and thumbnail previews so you can select the right presenter for your video.
Can I check my remaining video rendering minutes with get_elai_account_metadata? +
Yes. get_elai_account_metadata retrieves the necessary account metadata, including your current credit balance and remaining rendering minutes, preventing jobs from failing due to lack of funds.
What is the difference between list_ai_videos and list_latest_video_projects? +
list_ai_videos gives you every video project ever created. list_latest_video_projects only shows the most recently created or updated projects, helping you quickly focus on current work.
How do I use the `create_new_ai_video` tool to generate a video from a specific script? +
You call create_new_ai_video and pass the script text directly. The tool handles the initial video creation, allowing you to then use trigger_video_rendering to start the actual render.
What data can I get by calling `get_elai_account_metadata` besides the credit balance? +
The get_elai_account_metadata tool provides overall account metrics and organizational metadata. This lets you audit your video production volume and track usage against company standards.
If I need to find videos that are already finished, which tool should I use instead of `list_ai_videos`? +
Use list_successfully_rendered_videos. This tool specifically filters your library to show only those videos that are finished rendering and ready for download, saving you time.
How do I find out which video templates I can use for a new project? Do I need the `list_video_templates` tool? +
Yes, you must use list_video_templates. This tool provides a list of all available video formats and structures you can select before creating a new video with create_new_ai_video.
How do I get an Elai.io API Key? +
Log in to your Elai.io account, navigate to Account Settings → API, and you can generate or retrieve your unique API Key from there. API access may require a specific plan.
Can the agent render videos automatically? +
Yes, you can use the trigger_video_rendering tool to start the rendering process for any existing video project directly via the agent.
Does the integration show final video URLs? +
Yes, once a video has finished rendering (status: ready), the agent can retrieve the final output URL through the get_video_details tool.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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