ngram MCP Server

Turn a chat brief into a video you can review.

Connect ngram to your AI assistant. Start with a brief or a public page, check the credit estimate, and review the result before you share it.

Choose your client

Remote MCP client

Full workflow

Connect a client that supports remote HTTP MCP. Create, preview, revise and export videos.

Server URL
https://mcp.ngram.com

Add this URL as a remote MCP server. If your client supports OAuth, sign in to ngram when it prompts you.

Set up a remote client
My client requires an API key

Use a key if your client accepts bearer tokens and has no sign-in flow. Creating videos with a key requires a paid ngram plan and available credits.

Get an API key

The full MCP workflow

From source to MP4

Use this path in Claude, Cursor or a compatible remote client after you connect.

  1. 01

    Give it a source

    Share a brief or a public URL. Say who the video is for and what it should explain.

  2. 02

    Check the quote

    Review the model, estimated duration and credit cost before you confirm creation.

  3. 03

    Watch the preview

    Play it in chat when supported, or open the project in ngram. Ask for a revision if needed.

  4. 04

    Export an MP4

    Once you’re happy with the preview, ask for an MP4 export and download the finished file.

Using ChatGPT? Create a narrated explanation and check its progress in chat. See the ChatGPT workflow.

Setup walkthrough

See how to connect ngram

Follow the illustrated setup in Claude or ChatGPT, from adding the connector to signing in.

Three illustrated video workflows in Claude

Make a branded launch video with a presenter

A marketer gives Claude the Tidepath launch brief, chooses Talia and a caption style, checks the credit estimate and reviews the plan. Watch how the brand and presenter choices appear in the preview.

Build a demo around an existing recording

The author attaches a Tidepath screen recording, chooses Dev as presenter and shortens the requested duration. The preview combines the original task-board walkthrough with a presenter inset.

Revise a specific moment in the preview

The reviewer points to 0:08, asks for coral title text, enlarges the closing call to action and adds captions. Compare the original and revised Tidepath previews in the same conversation.

What the server exposes

Choose the profile that fits the work

Claude and developer clients

Claude’s /claude endpoint and the developer root endpoint offer the full toolset. In a compatible client you can bring source files into a project, browse creative options and request changes.

Connected sign-in or API key

Use the connector’s sign-in flow to link your ngram account. For a client that sends bearer headers, API-key video creation requires a paid plan and credits.

ChatGPT explanations

The /openai endpoint has three actions. Create a narrated 16:9 explanation from a concept, text or public HTTPS page, check progress or cancel a running job. Its presentation settings are fixed.

Preview and delivery

Follow the project in ngram if your client cannot display its inline preview. Use the full profile to export the current version at a resolution available on your plan.

Supported MCP clients

Where you can use ngram

Use your existing assistant or connect a remote HTTP MCP client. Available actions and inline playback depend on the client.

Claude web or Desktop
/claude · connected sign-in
ChatGPT web
/openai · eligible workspaces
Cursor
ngram plugin · connected sign-in
Custom developer client
Developer root · remote MCP
How it compares

When MCP is the right trigger, and when it isn't.

ngram MCP
you are here
REST API
raw HTTP
HTTP webhook
event hook
Zapier
automation
Who triggers itAn AI agent in chatYour application codeAn upstream event in another systemAn automated multi-step Zap
Where you review the requestIn the assistant conversationIn your applicationIn the upstream systemIn the Zap configuration
What you configureA client-specific MCP endpointAn HTTP request and credentialAn event and receiving endpointA trigger and action fields
Best forChat-driven agents and copilotsEmbedding ngram inside your productReacting to upstream system eventsNo-code multi-step pipelines

FAQ

Common questions about the MCP server

Use https://mcp.ngram.com/claude for the custom Claude connector, https://mcp.ngram.com/openai for narrated explanations in eligible ChatGPT workspaces, or https://mcp.ngram.com for a remote MCP client. The ngram plugin for Cursor connects to the root server when you sign in.

Still curious? Still curious? Chat with us

MCP Server

Connect ngram to your assistant

Choose the setup instructions for your client, sign in and try a brief with a clear audience and a source you can review.