tellers_generateVideoLABSCO SUMMARY
Prompt, edit, export, share — all on one server.
Generation is the easy half. What makes this usable is that the same server takes the project to a downloadable MP4 and then to a public link, and passing a previous chat id back into a generation call keeps refining that project instead of starting a new one.
What it is
An MCP server for Tellers AI video creation. A prompt creates or edits a video, local footage can be uploaded as source material, projects render to a downloadable MP4, and assets publish to a shareable link — with generation sessions kept so one project can be refined across several conversations.
What you get
- A video created or edited from a natural-language prompt (tellers_generateVideo)
- Local files uploaded to use as source footage (tellers_uploadMedia)
- A project rendered to a downloadable MP4 (tellers_exportProject)
- An asset published with a shareable preview link (tellers_makeAssetPublic)
- Recent assets and exports browsed (tellers_listRecentAssets)
- Past generation sessions listed and their message history read (tellers_listChats, tellers_getChatMessages)
- Available AI models and account configuration inspected (tellers_getSettings)
Requirements
Node.js 18+ and a build of the repo, plus a Tellers account and an API key created from the user menu at app.tellers.ai. Operations consume Tellers credits; new accounts start with some.
Setup effort
Build from source
USE CASES
01
Making a short video from a description
A single prompt — a 30-second product highlight reel with upbeat music — produces the video, with no timeline to arrange.
02
Cutting footage you shot yourself
Upload the clips, then describe the edit — cut to 60 seconds, add text overlays, grade it warm — instead of performing it.
03
Getting the file out
The project renders to a downloadable MP4, which is what you actually hand to whoever asked for it.
04
Sending it for review
An asset is published with a shareable preview link, so feedback does not depend on emailing a large file.
05
Picking up a project from last week
Past sessions are listed and their message history readable, so the next round of edits continues the same project rather than restarting it.
06
Checking what models and credits you have
Account configuration, available models and recent assets are all readable before a long generation run.
8 tools
Listed in project docs. Your client may show a different list.
tellers_uploadMediatellers_exportProjecttellers_makeAssetPublictellers_listRecentAssetstellers_listChatstellers_getChatMessagestellers_getSettingsBEFORE YOU INSTALL
What to know first
Tools you get
8 tools named in the project's documentation.
Requires
- Node.js 18+
- TELLERS_API_KEY in your environment
Where it runs
The documented client runs the server on your machine.
INSTALLATION
Connect your client
You clone and build this one yourself.
Server setup
TERMINAL
git clone https://github.com/tellers-ai/mcp-server
cd mcp-server
npm install
npm run buildMCP Clients
Claude Desktop
CLAUDE DESKTOP · JSON
{
"mcpServers": {
"tellers": {
"command": "node",
"args": [
"<YOUR_PATH_TO_MCP_SERVER>/build/index.js"
],
"env": {
"TELLERS_API_KEY": "<YOUR_TELLERS_API_KEY>"
}
}
}
}
